# Best Log Analysis Software

## How Many Log Analysis Software Products Does G2 Track?

**Total Products under this Category:** 106

### Category Stats (Jul 2026)

- **Average Rating:** 4.44/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Motadata ObserveOps (+1.28%) - Among all products in this category, Motadata ObserveOps recorded the largest rating increase compared to last month

_Last updated: July 28, 2026_

## How Does G2 Rank Log Analysis Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 9,600+ Authentic Reviews
- 106+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Log Analysis Software
 ![G2 Grid® for Log Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/log-analysis/grids.png?focus%5B%5D=3824&focus%5B%5D=139215&focus%5B%5D=16779&focus%5B%5D=17313&focus%5B%5D=2056&focus%5B%5D=10436&focus%5B%5D=18493&focus%5B%5D=5691)

Highlighted products: Datadog, New Relic, Coralogix, Sentry, Dynatrace, Sumo Logic, Elastic Stack, and ManageEngine ADAudit Plus.

Underlying data: [Grid® JSON](https://www.g2.com/categories/log-analysis/grids.json?focus%5B%5D=datadog&focus%5B%5D=new-relic&focus%5B%5D=coralogix&focus%5B%5D=sentry&focus%5B%5D=dynatrace&focus%5B%5D=sumo-logic&focus%5B%5D=elastic-stack&focus%5B%5D=manageengine-adaudit-plus)

**Sponsored**

### Sentry

Sentry is an application monitoring and error tracking platform that helps developers identify, debug, and resolve software issues in production environments across web, mobile, desktop, game, and AI-powered applications. The platform captures errors, crashes, and performance problems in real time, providing developers with stack traces, user context, and diagnostic data needed to reproduce and fix bugs. Sentry supports over 100 programming languages and frameworks, including JavaScript, Python, Java, Ruby, PHP, Go, React, Django, and mobile platforms like iOS and Android. Core monitoring capabilities: - Error tracking groups similar errors into issues, showing frequency, affected users, and the exact code location where problems occur - Performance monitoring traces requests through distributed systems to identify slow database queries, API bottlenecks, and code-level performance problems - Session Replay records user interactions leading up to errors, capturing clicks, network activity, and console logs for easier reproduction - Logs captures structured log data from your applications alongside errors and traces, enabling search and filtering by message content, severity level, and custom attributes - AI observability provides visibility into LLM applications, AI agents, and Model Context Protocol servers, tracking prompts, model calls, tool usage, and token consumption Developers integrate Sentry by installing an SDK and adding a few lines of code to their application. The platform automatically captures unhandled exceptions, while developers can manually track custom errors and performance metrics. Sentry processes events in real time, sending alerts through Slack, email, PagerDuty, or other notification channels when issues occur. Additional features and capabilities: - AI-powered debugging through Seer, which analyzes errors to identify root causes and suggest code fixes with high accuracy - Distributed tracing that follows requests across microservices, serverless functions, and third-party APIs to pinpoint failure points - Custom dashboards and alerts for monitoring specific metrics, error rates, or performance thresholds important to each team - Profiling tools that provide code-level visibility into where time is being spent in production, identifying slow functions, call stacks, and performance regressions across backend services and frontend/mobile user flows - Workflow integrations with GitHub, Jira, GitLab, Azure DevOps, and other development tools to create tickets or link errors to commits automatically The platform serves development teams at organizations ranging from individual developers to large enterprises. More than 100,000 organizations use Sentry, processing billions of error events daily. Sentry offers both cloud-hosted and self-hosted deployment options, with pricing tiers based on event volume. A free tier supports small projects and individual developers.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1136&secure%5Bchosen_at%5D=2026-07-28T23%3A07%3A55Z&secure%5Bdisplayable_resource_id%5D=1136&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1136&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=17313&secure%5Bresource_id%5D=1136&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Flog-analysis%3Fopen_modal_url%3D%252Fproducts%252Flast9-last9%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Flog-analysis%2526source%253Dcategory&secure%5Btoken%5D=d06e87c037d737ff7cf5dff17526bc67f770843ab5f3870b0c4efc37eee1a552&secure%5Burl%5D=https%3A%2F%2Fsentry.io%2Flp%2Flogs%2F%3Futm_source%3Dg2%26utm_medium%3Dreview-site%26utm_campaign%3Dlogs-fy27q1-evergreen%26utm_content%3Dstatic-ad-log-analysis-trysentry&secure%5Burl_type%5D=custom_url)

[
Datadog
](https://www.g2.com/products/datadog/reviews)

By [Datadog](https://www.g2.com/sellers/datadog)

[

4.4/5(726)

](https://www.g2.com/products/datadog/reviews)

What do users say?

Users consistently praise real-time monitoring and the intuitive dashboards that simplify tracking application performance and infrastructure health. The platform's ability to consolidate logs, metric

Pros and Cons

[
Ease of Use (145)
](https://www.g2.com/products/datadog/reviews?qs=pros-and-cons)[
Expensive (92)
](https://www.g2.com/products/datadog/reviews?qs=pros-and-cons)

### [Datadog](https://www.g2.com/products/datadog/reviews)

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

**Average Rating:** 4.4/5.0

**Total Reviews:** 715

#### How Do G2 Users Rate Datadog?

- **Alerts:** 8.6/10 (Category avg: 8.6/10)
- **Data Sources:** 8.6/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.8/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Datadog?

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Company Website:** www.datadoghq.com
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq  
51,207 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1b0942496e12618acadaab3a1601417c9f0d1941be094e2cefb0d89c606e73b5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1066442%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,386 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, DevOps Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Datadog?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Datadog, appreciating intuitive dashboards and seamless integrations for monitoring.
- Users value the **user-friendly monitoring features** of Datadog, appreciating its intuitive dashboards and quick integrations.
- Users value the **real-time monitoring** capabilities of Datadog, enhancing their operational awareness and response times.
- Users appreciate the **user-friendly interface** and **robust features** of Datadog for seamless monitoring and integration.
- Users value the **intuitive dashboard creation** in Datadog, making monitoring easy and effective across various environments.

##### Cons

- Users feel that Datadog's pricing is **expensive** , suggesting it should be more affordable for better access.
- Users find the **learning curve steep** , with many features overwhelming and requiring a higher level of experience.
- Users find the **pricing issues** of Datadog concerning, citing high costs that escalate unpredictably with added features.
- Users feel the **cost is too high** , especially as expenses can scale unpredictably with additional features and logs.
- Users report a **steep learning curve** with Datadog, finding setup and usage challenging for newcomers.

#### What Are Recent G2 Reviews of Datadog?

**["Faster incident detection and root-cause analysis, leading to better customer experience."](https://www.g2.com/survey_responses/datadog-review-12850013)**

**Rating:** 4.5/5.0 stars

_— Bertrand P._

[Read full review](https://www.g2.com/survey_responses/datadog-review-12850013)

**["Datadog: Unified Logs, Metrics & Traces for Real-Time Visibility and Faster Debugging"](https://www.g2.com/survey_responses/datadog-review-13049319)**

**Rating:** 4.5/5.0 stars

_— Anshul S._

[Read full review](https://www.g2.com/survey_responses/datadog-review-13049319)

#### What Are G2 Users Discussing About Datadog?

- [How good is Datadog?](https://www.g2.com/discussions/how-good-is-datadog)
- [Does Datadog use AWS?](https://www.g2.com/discussions/does-datadog-use-aws) - 2 comments
- [What can Datadog monitor?](https://www.g2.com/discussions/what-can-datadog-monitor)
- [What is the use of Datadog?](https://www.g2.com/discussions/what-is-the-use-of-datadog) - 3 comments

[
New Relic
](https://www.g2.com/products/new-relic/reviews)

By [New Relic](https://www.g2.com/sellers/new-relic)

[

4.4/5(586)

](https://www.g2.com/products/new-relic/reviews)

What do users say?

Users consistently praise New Relic for its real-time insights and comprehensive observability, which streamline monitoring across applications and infrastructure. The intuitive dashboards and seamles

Pros and Cons

[
Ease of Use (150)
](https://www.g2.com/products/new-relic/reviews?qs=pros-and-cons)[
Expensive (83)
](https://www.g2.com/products/new-relic/reviews?qs=pros-and-cons)

### [New Relic](https://www.g2.com/products/new-relic/reviews)

New Relic is the all-in-one Intelligent Observability platform built to help engineering and IT teams plan, build, deploy, and run software with confidence. By unifying metrics, events, logs, and traces into a single, secure telemetry cloud, New Relic gives over 25 million engineers real time visibility and AI-powered insights across their entire digital estate, from code to cloud. Designed to replace fragmented point solutions, New Relic consolidates full-stack observability into a single source of truth. The platform brings together Application Performance Monitoring (APM), infrastructure monitoring, log management, digital experience monitoring (DEM), container monitoring, and AIOps into one cohesive interface. Powered by an advanced AI engine, New Relic automatically pairs telemetry data to shift problem solving from reactive debugging to proactive and predictive resolution, helping teams reduce mean time to resolution (MTTR) and eliminate digital disruptions before they impact end users. Equipped with over 500 open source integrations, New Relic seamlessly connects with your existing stack. Coupled with transparent, consumption and user-based pricing, organizations gain full predictability over their costs without sacrificing telemetry depth.

**Average Rating:** 4.4/5.0

**Total Reviews:** 571

#### How Do G2 Users Rate New Relic?

- **Alerts:** 9.3/10 (Category avg: 8.6/10)
- **Data Sources:** 9.1/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind New Relic?

- **Seller:** [New Relic](https://www.g2.com/sellers/new-relic)
- **Company Website:** newrelic.com
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @newrelic  
65,727 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a9eddd984f33572c5efbac2b43c77a680b5f6fb4b0c874a8dc1b10aa32b60f58&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F426253%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,053 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Medium, 30% Large

#### What Do G2 Reviewers Say About New Relic?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **easy and intuitive interface** of New Relic, simplifying navigation and usability significantly.
- Users value the **real-time monitoring** capabilities of New Relic, enhancing their insights and application performance management.
- Users value the **real-time monitoring** capabilities of New Relic, which enhance issue detection and resolution efficiency.
- Users value the **comprehensive observability capabilities** of New Relic, enabling effective monitoring and insight into application performance.
- Users appreciate the **detailed analytics** and customizable dashboards of New Relic, enhancing real-time insights and performance monitoring.

##### Cons

- Users find New Relic's pricing model **expensive** , particularly for teams managing high data volumes or multiple users.
- Users find the **pricing model expensive** for larger teams, particularly when dealing with high data volumes.
- Users find the **steep learning curve** of New Relic challenging, requiring time to fully understand the platform.
- Users find the **complexity** of New Relic's interface and pricing structure daunting, impacting ease of use.
- Users find **difficult learning** curves with NRQL and feature overload, making onboarding and navigation challenging for newcomers.

#### What Are Recent G2 Reviews of New Relic?

**["New Relic User Experience Review"](https://www.g2.com/survey_responses/new-relic-review-10695865)**

**Rating:** 5.0/5.0 stars

_— bhavik m._

[Read full review](https://www.g2.com/survey_responses/new-relic-review-10695865)

**["End-to-End Observability That Makes Troubleshooting Faster"](https://www.g2.com/survey_responses/new-relic-review-13057378)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/new-relic-review-13057378)

#### What Are G2 Users Discussing About New Relic?

- [What does observability mean?](https://www.g2.com/discussions/what-does-observability-mean)
- [How do you use New Relic?](https://www.g2.com/discussions/how-do-you-use-new-relic)
- [What is full stack visibility?](https://www.g2.com/discussions/what-is-full-stack-visibility) - 2 comments
- [What is New Relic tool used for?](https://www.g2.com/discussions/what-is-new-relic-tool-used-for) - 1 comment

[
Coralogix
](https://www.g2.com/products/coralogix/reviews)

By [Coralogix](https://www.g2.com/sellers/coralogix)

[

4.6/5(343)

](https://www.g2.com/products/coralogix/reviews)

What do users say?

Users consistently praise the user-friendly interface and excellent customer support of Coralogix, which streamline the process of log management and monitoring. The platform's ability to provide real

Pros and Cons

[
Ease of Use (82)
](https://www.g2.com/products/coralogix/reviews?qs=pros-and-cons)[
Learning Curve (25)
](https://www.g2.com/products/coralogix/reviews?qs=pros-and-cons)

### [Coralogix](https://www.g2.com/products/coralogix/reviews)

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events, enhancing operational efficiency and reducing total cost of ownership by up to 70%. Coralogix stands out for its simple pricing model, based solely on data volume ingested and retained, and offers free, fast customer support with less than 30 second response time and 1 hour resolution time. Our platform covers the entire range of observability with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all streamlined for quick integration and immediate value. Components within the stream store the system state to provide stateful insights and real-time alerting without ever needing to index the data — so there are never any trade-offs to achieve observability. Once ingested, parsed, and enriched, data is written remotely to an archive bucket controlled by the client. The archive can be queried directly at any time, from the platform UI or via CLI, giving users infinite retention with full control over, and access to, their data. View and query your data from any dashboard using any syntax. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701.

**Average Rating:** 4.6/5.0

**Total Reviews:** 339

#### How Do G2 Users Rate Coralogix?

- **Alerts:** 8.7/10 (Category avg: 8.6/10)
- **Data Sources:** 8.7/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Coralogix?

- **Seller:** [Coralogix](https://www.g2.com/sellers/coralogix)
- **Company Website:** www.coralogix.com
- **Year Founded:** 2014
- **HQ Location:** San Francisco, CA
- **Twitter:** @Coralogix  
4,102 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef56bf9e77f90e052266a03df08c90be65b7100d379c98d7e03372c2daaa8254&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3763125%2F&secure%5Burl_type%5D=linkedin_company_website)  
588 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, DevOps Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Medium, 34% Large

#### What Do G2 Reviewers Say About Coralogix?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in setting up Coralogix, benefiting from seamless integrations and efficient monitoring.
- Users value the **integrated log management** of Coralogix, enhancing speed and accuracy in root-cause analysis.
- Users praise the **responsive customer support** of Coralogix, ensuring quick resolutions and enhanced user experience.
- Users value the **real-time monitoring** capabilities of Coralogix, enhancing user experience and incident response efficiency.
- Users appreciate the **user-friendly interface** of Coralogix, making it easy to search and export logs efficiently.

##### Cons

- Users find the **learning curve steep** , making it challenging for beginners to navigate and master metrics collection.
- Users find the **missing feature for exporting searched strings** limits their ability to efficiently manage logs.
- Users experience **slow performance** with Coralogix, leading to frustrating delays in loading and retrieving logs.
- Users find **learning difficulty** with Coralogix, especially concerning advanced features and navigating the overwhelming UI.
- Users note the **difficult learning curve** in navigating Coralogix’s complex setup and technical syntax initially.

#### What Are Recent G2 Reviews of Coralogix?

**["Coralogix Game Changer Logging Tool"](https://www.g2.com/survey_responses/coralogix-review-11633887)**

**Rating:** 4.5/5.0 stars

_— Shakti V._

[Read full review](https://www.g2.com/survey_responses/coralogix-review-11633887)

**["Reliable Log Monitoring with Room for Improvement"](https://www.g2.com/survey_responses/coralogix-review-12091026)**

**Rating:** 4.5/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/coralogix-review-12091026)

[
Sentry
](https://www.g2.com/products/sentry/reviews)

By [Sentry](https://www.g2.com/sellers/sentry)

[

4.5/5(220)

](https://www.g2.com/products/sentry/reviews)

What do users say?

Users consistently praise Sentry for its real-time error tracking and detailed stack traces, which significantly streamline the debugging process. The ability to quickly identify and fix issues before

Pros and Cons

[
Ease of Use (21)
](https://www.g2.com/products/sentry/reviews?qs=pros-and-cons)[
Pricing Issues (7)
](https://www.g2.com/products/sentry/reviews?qs=pros-and-cons)

### [Sentry](https://www.g2.com/products/sentry/reviews)

Sentry is an application monitoring and error tracking platform that helps developers identify, debug, and resolve software issues in production environments across web, mobile, desktop, game, and AI-powered applications. The platform captures errors, crashes, and performance problems in real time, providing developers with stack traces, user context, and diagnostic data needed to reproduce and fix bugs. Sentry supports over 100 programming languages and frameworks, including JavaScript, Python, Java, Ruby, PHP, Go, React, Django, and mobile platforms like iOS and Android. Core monitoring capabilities: - Error tracking groups similar errors into issues, showing frequency, affected users, and the exact code location where problems occur - Performance monitoring traces requests through distributed systems to identify slow database queries, API bottlenecks, and code-level performance problems - Session Replay records user interactions leading up to errors, capturing clicks, network activity, and console logs for easier reproduction - Logs captures structured log data from your applications alongside errors and traces, enabling search and filtering by message content, severity level, and custom attributes - AI observability provides visibility into LLM applications, AI agents, and Model Context Protocol servers, tracking prompts, model calls, tool usage, and token consumption Developers integrate Sentry by installing an SDK and adding a few lines of code to their application. The platform automatically captures unhandled exceptions, while developers can manually track custom errors and performance metrics. Sentry processes events in real time, sending alerts through Slack, email, PagerDuty, or other notification channels when issues occur. Additional features and capabilities: - AI-powered debugging through Seer, which analyzes errors to identify root causes and suggest code fixes with high accuracy - Distributed tracing that follows requests across microservices, serverless functions, and third-party APIs to pinpoint failure points - Custom dashboards and alerts for monitoring specific metrics, error rates, or performance thresholds important to each team - Profiling tools that provide code-level visibility into where time is being spent in production, identifying slow functions, call stacks, and performance regressions across backend services and frontend/mobile user flows - Workflow integrations with GitHub, Jira, GitLab, Azure DevOps, and other development tools to create tickets or link errors to commits automatically The platform serves development teams at organizations ranging from individual developers to large enterprises. More than 100,000 organizations use Sentry, processing billions of error events daily. Sentry offers both cloud-hosted and self-hosted deployment options, with pricing tiers based on event volume. A free tier supports small projects and individual developers.

**Average Rating:** 4.5/5.0

**Total Reviews:** 218

#### How Do G2 Users Rate Sentry?

- **Alerts:** 9.0/10 (Category avg: 8.6/10)
- **Data Sources:** 9.0/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Sentry?

- **Seller:** [Sentry](https://www.g2.com/sellers/sentry)
- **Company Website:** sentry.io
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @getsentry  
295 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=75a1a1ff4ee6e14bda3080d2f5d95900a62a41ad23e128403fa41ad0f87b0396&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgetsentry%2F&secure%5Burl_type%5D=linkedin_company_website)  
436 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 60% Small, 29% Medium

#### What Do G2 Reviewers Say About Sentry?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Sentry, enjoying its straightforward implementation and intuitive monitoring features.
- Users value Sentry's **insightful error tracking** , facilitating faster issue resolution and enhancing overall software performance.
- Users find Sentry's **debugging capabilities** excellent, streamlining error tracking and enhancing development processes effectively.
- Users find Sentry's **monitoring capabilities** indispensable for application observability and custom alerting features.
- Users value the **robust integration options** of Sentry, enhancing monitoring and quick fault detection across systems.

##### Cons

- Users find Sentry's **high pricing and limited plan options** challenging, especially for small beginnings and budget constraints.
- Users report that **error handling can be cumbersome** , leading to delays in identifying and resolving issues effectively.
- Users find Sentry's pricing **too expensive** , particularly for small projects and limited plan options available.
- Users find the **complex configuration** of Sentry challenging, especially for beginners and seamless integration into existing systems.
- Users find the **UI complicated and disorganized** , especially for first-time users, impacting their overall experience.

#### What Are Recent G2 Reviews of Sentry?

**["Best Log Monitoring for Catching Live App Errors"](https://www.g2.com/survey_responses/sentry-review-12650207)**

**Rating:** 5.0/5.0 stars

_— Sachit S._

[Read full review](https://www.g2.com/survey_responses/sentry-review-12650207)

**["Quick Setup and Proactive Alerts A Game Changer for Our App"](https://www.g2.com/survey_responses/sentry-review-13093954)**

**Rating:** 4.0/5.0 stars

_— shantanu g._

[Read full review](https://www.g2.com/survey_responses/sentry-review-13093954)

#### What Are G2 Users Discussing About Sentry?

- [What is your primary use case for Sentry in application monitoring, and how has it impacted your development process?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-sentry-in-application-monitoring-and-how-has-it-impacted-your-development-process) - 1 comment, 1 upvote
- [What is Sentry bug tracker?](https://www.g2.com/discussions/what-is-sentry-bug-tracker)
- [What is Sentry and how it works?](https://www.g2.com/discussions/what-is-sentry-and-how-it-works)
- [What is Sentry used for?](https://www.g2.com/discussions/what-is-sentry-used-for)
- [What is a Sentry Software?](https://www.g2.com/discussions/what-is-a-sentry-software)

[
Dynatrace
](https://www.g2.com/products/dynatrace/reviews)

By [Dynatrace](https://www.g2.com/sellers/dynatrace)

[

4.5/5(1,366)

](https://www.g2.com/products/dynatrace/reviews)

What do users say?

Users consistently praise Dynatrace for its AI-driven insights and ease of deployment, which streamline monitoring and troubleshooting across complex environments. The platform's ability to provide co

Pros and Cons

[
Ease of Use (84)
](https://www.g2.com/products/dynatrace/reviews?qs=pros-and-cons)[
Learning Curve (43)
](https://www.g2.com/products/dynatrace/reviews?qs=pros-and-cons)

### [Dynatrace](https://www.g2.com/products/dynatrace/reviews)

Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. Learn more at www.dynatrace.com.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,234

#### How Do G2 Users Rate Dynatrace?

- **Alerts:** 8.5/10 (Category avg: 8.6/10)
- **Data Sources:** 8.7/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.6/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Dynatrace?

- **Seller:** [Dynatrace](https://www.g2.com/sellers/dynatrace)
- **Year Founded:** 2005
- **HQ Location:** Boston, MA
- **Twitter:** @Dynatrace  
18,668 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83c43c7495079d745f57a9f8c381cbe86f78689894d05ac3e6cb0ba76b16494d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F125999%2F&secure%5Burl_type%5D=linkedin_company_website)  
6,060 employees on LinkedIn®
- **Ownership:** NYSE: DT

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 69% Large, 23% Medium

#### What Do G2 Reviewers Say About Dynatrace?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Dynatrace, highlighting its intuitive navigation and quick installation process.
- Users value the **real-time break point feature** for debugging code in production, enhancing their development process.
- Users commend the **quick information gathering** of Dynatrace, enhancing bug detection and overall debugging efficiency.
- Users value the **comprehensive data gathering** capabilities of Dynatrace, enabling efficient bug detection without production interruptions.
- Users find **monitoring** capabilities invaluable for quick insights and timely alerts on system issues, enhancing reliability.

##### Cons

- Users find the **learning curve steep** , with challenges in instrumentation and understanding the system effectively.
- Users are frustrated with **missing features** in Dynatrace, impacting data extraction and overall usability.
- Users find the **complexity of instrumentation** with Dynatrace can hinder effective problem investigation and ease of use.
- Users feel the **UI could be less cluttered** , making navigation and log viewing cumbersome for newcomers.
- Users find the **steep learning curve** of Dynatrace challenging, making it difficult to fully utilize its features.

#### What Are Recent G2 Reviews of Dynatrace?

**["Comprehensive Observability, Excellent AI, but Complex Pricing"](https://www.g2.com/survey_responses/dynatrace-review-13111992)**

**Rating:** 4.0/5.0 stars

_— Vishnu Vardhan N._

[Read full review](https://www.g2.com/survey_responses/dynatrace-review-13111992)

**["Davis AI Delivers Clear Root-Cause Insights and Real-Time User Monitoring"](https://www.g2.com/survey_responses/dynatrace-review-12645823)**

**Rating:** 4.5/5.0 stars

_— Sabina K._

[Read full review](https://www.g2.com/survey_responses/dynatrace-review-12645823)

#### What Are G2 Users Discussing About Dynatrace?

- [What is Dynatrace used for?](https://www.g2.com/discussions/what-is-dynatrace-used-for) - 3 comments
- [How do you use Rookout?](https://www.g2.com/discussions/how-do-you-use-rookout)
- [What is the use of Rookout?](https://www.g2.com/discussions/what-is-the-use-of-rookout)
- [What is offline debugging?](https://www.g2.com/discussions/what-is-offline-debugging)
- [What does Rookout do?](https://www.g2.com/discussions/what-does-rookout-do) - 2 comments

[
Sumo Logic
](https://www.g2.com/products/sumo-logic/reviews)

By [Sumo Logic](https://www.g2.com/sellers/sumo-logic)

[

4.3/5(404)

](https://www.g2.com/products/sumo-logic/reviews)

What do users say?

Users consistently praise the ease of use and real-time insights provided by Sumo Logic, which significantly enhances their ability to monitor and analyze logs efficiently. The platform's robust query

Pros and Cons

[
Ease of Use (54)
](https://www.g2.com/products/sumo-logic/reviews?qs=pros-and-cons)[
Expensive (18)
](https://www.g2.com/products/sumo-logic/reviews?qs=pros-and-cons)

### [Sumo Logic](https://www.g2.com/products/sumo-logic/reviews)

Sumo Logic, Inc. unifies and analyzes enterprise data, translating it into actionable insights through one AI-powered cloud-native log analytics platform. This single source of truth enables Dev, Sec and Ops teams to simplify complexity, collaborate efficiently and accelerate data-driven decisions that drive business value. Customers around the world rely on the Sumo Logic SaaS Log Analytics Platform for trusted insights to ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. For more information, visit: SUMOLOGIC.COM

**Average Rating:** 4.3/5.0

**Total Reviews:** 392

#### How Do G2 Users Rate Sumo Logic?

- **Alerts:** 8.1/10 (Category avg: 8.6/10)
- **Data Sources:** 8.2/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Sumo Logic?

- **Seller:** [Sumo Logic](https://www.g2.com/sellers/sumo-logic)
- **Company Website:** www.sumologic.com
- **Year Founded:** 2010
- **HQ Location:** Redwood City, CA
- **Twitter:** @SumoLogic  
6,542 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=405f2514b57035d31a9696f673d9692138c137173787398caeba6974c512d779&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1037816%2F&secure%5Burl_type%5D=linkedin_company_website)  
838 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 48% Medium, 37% Large

#### What Do G2 Reviewers Say About Sumo Logic?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Sumo Logic, finding it simple to learn and configure effectively.
- Users appreciate the **ease of searching and configuring logs** , enhancing their monitoring and tracing capabilities effortlessly.
- Users value the **Continuous Intelligence feature** of Sumo Logic for its quick and actionable insights from diverse data.
- Users commend **Sumo Logic's visual power and flexibility** , enhancing KPI display and minimizing log-related workload.
- Users value the **real-time insights** offered by Sumo Logic, enhancing monitoring and analytics for better decision-making.

##### Cons

- Users find Sumo Logic to be **expensive** , often questioning if its value justifies the high pricing.
- Users find the **difficult learning** curve of Sumo Logic hampers quick proficiency in using its features effectively.
- Users find Sumo Logic's **steep learning curve** challenging, especially when mastering complex queries and setup processes.
- Users find the **steep learning curve** of Sumo Logic challenging, requiring significant time to gain proficiency.
- Users experience **slow performance** due to a clunky UI and delayed alerting, impacting efficiency and response times.

#### What Are Recent G2 Reviews of Sumo Logic?

**["Centralized Logging with Intuitive Dashboards"](https://www.g2.com/survey_responses/sumo-logic-review-12948839)**

**Rating:** 4.5/5.0 stars

_— Sudarshan B._

[Read full review](https://www.g2.com/survey_responses/sumo-logic-review-12948839)

**["Secure, Privacy-First AI Logging That Helps Reduce Data Breach Risk"](https://www.g2.com/survey_responses/sumo-logic-review-13156334)**

**Rating:** 5.0/5.0 stars

_— Aiyappa Baleyada B._

[Read full review](https://www.g2.com/survey_responses/sumo-logic-review-13156334)

#### What Are G2 Users Discussing About Sumo Logic?

- [What is Cloud SOAR used for?](https://www.g2.com/discussions/what-is-cloud-soar-used-for) - 1 comment, 1 upvote
- [Is Sumo Logic a SIEM?](https://www.g2.com/discussions/is-sumo-logic-a-siem)
- [What is Sumo Logic used for?](https://www.g2.com/discussions/what-is-sumo-logic-used-for)
- [Who are Sumo Logic competitors?](https://www.g2.com/discussions/who-are-sumo-logic-competitors) - 1 comment
- [How much does Sumo Logic cost?](https://www.g2.com/discussions/how-much-does-sumo-logic-cost)

[
Kibana
](https://www.g2.com/products/elastic-stack/reviews)

By [Elastic](https://www.g2.com/sellers/elastic)

[

4.5/5(109)

](https://www.g2.com/products/elastic-stack/reviews)

What do users say?

Users consistently praise the speed and flexibility of Elastic Stack, highlighting its ability to efficiently handle large volumes of data and provide real-time insights. The seamless integration of i

Pros and Cons

[
Ease of Use (3)
](https://www.g2.com/products/elastic-stack/reviews?qs=pros-and-cons)[
Resource Management (3)
](https://www.g2.com/products/elastic-stack/reviews?qs=pros-and-cons)

### [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews)

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

**Average Rating:** 4.5/5.0

**Total Reviews:** 105

#### How Do G2 Users Rate Elastic Stack?

- **Alerts:** 8.6/10 (Category avg: 8.6/10)
- **Data Sources:** 8.6/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Elastic Stack?

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 employees on LinkedIn®
- **Ownership:** NYSE: ESTC

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Elastic Stack?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface.
- Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs.
- Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly.
- Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights.
- Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models.

##### Cons

- Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves.
- Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves.
- Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs.
- Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale.
- Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance.

#### What Are Recent G2 Reviews of Elastic Stack?

**["Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"](https://www.g2.com/survey_responses/elastic-stack-review-12683691)**

**Rating:** 5.0/5.0 stars

_— Jai P._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12683691)

**["Powerful Centralized Log Management with Elastic Stack"](https://www.g2.com/survey_responses/elastic-stack-review-12951407)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12951407)

#### What Are G2 Users Discussing About Elastic Stack?

- [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users)
- [What is Kibana monitoring?](https://www.g2.com/discussions/what-is-kibana-monitoring)
- [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment
- [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with)
- [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment

[
ManageEngine ADAudit Plus
](https://www.g2.com/products/manageengine-adaudit-plus/reviews)

By [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)

[

4.6/5(59)

](https://www.g2.com/products/manageengine-adaudit-plus/reviews)

What do users say?

Users consistently praise the ease of use and comprehensive reporting capabilities of ManageEngine ADAudit Plus, which streamline Active Directory auditing and monitoring. The intuitive interface and

Pros and Cons

[
Reporting (3)
](https://www.g2.com/products/manageengine-adaudit-plus/reviews?qs=pros-and-cons)[
Alert Management (1)
](https://www.g2.com/products/manageengine-adaudit-plus/reviews?qs=pros-and-cons)

### [ManageEngine ADAudit Plus](https://www.g2.com/products/manageengine-adaudit-plus/reviews)

ADAudit Plus is a UBA-driven auditor that helps keep your AD, Azure AD, file systems (including Windows, NetApp, EMC, Synology, Hitachi, and Huawei), Windows servers, and workstations secure and compliant. ADAudit Plus transforms raw and noisy event log data into real-time reports and alerts, enabling you to get full visibility into activities happening across your Windows Server ecosystem in just a few clicks. More than 10,000 organizations across the world trust ADAudit Plus to: 1. Instantly notify them about changes in their Windows Server environments. 2. Continuously track Windows user logon activity. 3. Monitor the active and idle time spent by employees at their workstations. 4. Detect and troubleshoot AD account lockouts. 5. Provide a consolidated audit trail of privileged user activities across their domains. 6. Track changes and sign-ins in Azure AD. 7. Audit file accesses across Windows, NetApp, EMC, Synology, Hitachi, and Huawei file systems. 8. Monitor file integrity across local files residing on Windows systems. 9. Mitigate insider threats by leveraging UBA and response automation. 10. Generate audit-ready compliance reports for SOX, the GDPR, and other IT mandates.

**Average Rating:** 4.6/5.0

**Total Reviews:** 59

#### How Do G2 Users Rate ManageEngine ADAudit Plus?

- **Alerts:** 9.4/10 (Category avg: 8.6/10)
- **Data Sources:** 8.3/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind ManageEngine ADAudit Plus?

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho  
137,880 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 employees on LinkedIn®
- **Phone:** +1 (888) 900-9646 

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Hospital & Health Care
- **Company Size:** 59% Medium, 32% Large

#### What Do G2 Reviewers Say About ManageEngine ADAudit Plus?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **depth of reporting** in ADAudit Plus, enhancing visibility into AD environments with prebuilt options.
- Users value the **intuitive dashboard usability** of ADAudit Plus, offering easy navigation and comprehensive reporting options.
- Users appreciate the **easy setup and extensive reporting options** in ManageEngine ADAudit Plus for effective monitoring.
- Users value the **dashboard design** of ADAudit Plus for its comprehensive overview and detailed reporting options.
- Users value the **intuitive dashboard and extensive reporting options** in ADAudit Plus for effective Active Directory management.

##### Cons

- Users find the **limited alert levels** insufficient for fine-tuning notifications, despite helpful reporting options and search features.
- Users find the **data overload** from numerous reporting options overwhelming, making it hard to locate specific reports.
- Users find the product **expensive** , which impacts their overall satisfaction despite its features and capabilities.
- Users experience **false positives** with alerts, which could be improved by more granularity in severity levels.
- Users are frustrated with the **high resource usage** of ManageEngine ADAudit Plus, impacting system performance significantly.

#### What Are Recent G2 Reviews of ManageEngine ADAudit Plus?

**["Easy Setup, Powerful Reporting, and Great Value"](https://www.g2.com/survey_responses/manageengine-adaudit-plus-review-12999020)**

**Rating:** 4.5/5.0 stars

_— Ryan A._

[Read full review](https://www.g2.com/survey_responses/manageengine-adaudit-plus-review-12999020)

**["Great Tool for Active Directory Auditing and Investigations"](https://www.g2.com/survey_responses/manageengine-adaudit-plus-review-13001820)**

**Rating:** 5.0/5.0 stars

_— Jose R._

[Read full review](https://www.g2.com/survey_responses/manageengine-adaudit-plus-review-13001820)

#### What Are G2 Users Discussing About ManageEngine ADAudit Plus?

- [What does AD audit do?](https://www.g2.com/discussions/what-does-ad-audit-do)
- [Is Ad audit plus a SIEM?](https://www.g2.com/discussions/is-ad-audit-plus-a-siem)
- [What is ManageEngine Audit Plus?](https://www.g2.com/discussions/what-is-manageengine-audit-plus)
- [What does ADAudit plus do?](https://www.g2.com/discussions/what-does-adaudit-plus-do)

[
Splunk Enterprise
](https://www.g2.com/products/splunk-enterprise/reviews)

By [Cisco](https://www.g2.com/sellers/cisco)

[

4.3/5(434)

](https://www.g2.com/products/splunk-enterprise/reviews)

What do users say?

Users consistently praise the product for its ease of use and powerful data analysis capabilities, making it a valuable tool for monitoring and managing large volumes of logs. The ability to create cu

Pros and Cons

[
Innovation (13)
](https://www.g2.com/products/splunk-enterprise/reviews?qs=pros-and-cons)[
Expensive (8)
](https://www.g2.com/products/splunk-enterprise/reviews?qs=pros-and-cons)

### [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)

Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 415

#### How Do G2 Users Rate Splunk Enterprise?

- **Alerts:** 8.8/10 (Category avg: 8.6/10)
- **Data Sources:** 9.0/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.8/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Splunk Enterprise?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 64% Large, 27% Medium

#### What Do G2 Reviewers Say About Splunk Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **innovation** of Splunk Enterprise, appreciating its user-friendly features and powerful analytics capabilities.
- Users value the **customization features** of Splunk Enterprise, enabling tailored insights and dynamic dashboards for effective monitoring.
- Users commend the **ease of use** of Splunk Enterprise, enhancing effective monitoring and quick issue resolution.
- Users value the **efficient log management** capabilities of Splunk Enterprise for accurate analysis and insights.
- Users value the **powerful reporting features** of Splunk Enterprise, enhancing data analysis and visualization capabilities significantly.

##### Cons

- Users find Splunk Enterprise to be **expensive** , especially as data volumes grow, impacting smaller teams' operations.
- Users face a **steep learning curve** with Splunk Enterprise, which can hinder quick mastery of its features.
- Users highlight the **expensive licensing** of Splunk Enterprise, making it difficult for some companies to adopt.
- Users face **integration issues** with Splunk Enterprise, requiring better add-ons and simpler architecture for easier deployment.
- Users feel that Splunk Enterprise has **missing features** , lacking important add-ons and more flexible data onboarding options.

#### What Are Recent G2 Reviews of Splunk Enterprise?

**["SPL search and dashboards are really useful"](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)**

**Rating:** 4.0/5.0 stars

_— Nishith J._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)

**["Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure"](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)**

**Rating:** 4.5/5.0 stars

_— RaviShankar S._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)

#### What Are G2 Users Discussing About Splunk Enterprise?

- [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment
- [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment
- [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment
- [Which apps ship with Splunk Enterprise?](https://www.g2.com/discussions/which-apps-ship-with-splunk-enterprise) - 1 comment
- [What does Splunk Enterprise do?](https://www.g2.com/discussions/what-does-splunk-enterprise-do) - 1 comment

[
Site24x7
](https://www.g2.com/products/site24x7/reviews)

By [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)

[

4.6/5(441)

](https://www.g2.com/products/site24x7/reviews)

What do users say?

Users consistently praise the product for its ease of use and reliable alerts, which help them monitor their systems effectively. The intuitive interface and comprehensive monitoring capabilities allo

Pros and Cons

[
Ease of Use (72)
](https://www.g2.com/products/site24x7/reviews?qs=pros-and-cons)[
Alert Issues (22)
](https://www.g2.com/products/site24x7/reviews?qs=pros-and-cons)

### [Site24x7](https://www.g2.com/products/site24x7/reviews)

ManageEngine Site24x7 offers unified cloud monitoring for DevOps and IT operations within small to large organizations. The solution monitors the experience of real users accessing websites and applications from desktop and mobile devices. In-depth monitoring capabilities enable DevOps teams to monitor and troubleshoot applications, servers and network infrastructure, including private and public clouds. End-user experience monitoring is done from more than 100 locations across the world and various wireless carriers.

**Average Rating:** 4.6/5.0

**Total Reviews:** 433

#### How Do G2 Users Rate Site24x7?

- **Alerts:** 8.9/10 (Category avg: 8.6/10)
- **Data Sources:** 8.7/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.8/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Site24x7?

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho  
137,880 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 employees on LinkedIn®
- **Phone:** +1 (888) 900-9646 

#### Who Uses This Product?

- **Who Uses This:** CEO, CTO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Medium, 42% Small

#### What Do G2 Reviewers Say About Site24x7?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Site24x7, benefiting from its simple interface and helpful support.
- Users appreciate the **single pane of glass visibility** that seamlessly connects website and server metrics, saving time effortlessly.
- Users appreciate the **real-time monitoring** capabilities of Site24x7, making performance tracking simple and efficient.
- Users value the **vast monitoring options** of Site24x7, allowing easy management of multiple resources from one interface.
- Users love the **easy setup and extensive visibility** of Site24x7, making network monitoring efficient and straightforward.

##### Cons

- Users report **missing alerts** and challenges with interfaces, impacting event monitoring efficiency and effectiveness.
- Users find the **tool integration process complex** , leading to confusion due to the multitude of options available.
- Users find the pricing of Site24x7 to be **expensive** , particularly for smaller businesses needing flexibility.
- Users find the **learning curve for advanced features** of Site24x7 can be steep and daunting.
- Users find the **UI poorly designed** , noting it lacks intuitiveness and feels outdated, affecting overall usability.

#### What Are Recent G2 Reviews of Site24x7?

**["Single Dashboard Monitoring That Makes Infrastructure Management Effortless"](https://www.g2.com/survey_responses/site24x7-review-11331109)**

**Rating:** 4.5/5.0 stars

_— Kavikumar N._

[Read full review](https://www.g2.com/survey_responses/site24x7-review-11331109)

**["Site24x7: Unified Monitoring with Smart AI Alerts and Root-Cause Insights"](https://www.g2.com/survey_responses/site24x7-review-13054966)**

**Rating:** 5.0/5.0 stars

_— Ravi R._

[Read full review](https://www.g2.com/survey_responses/site24x7-review-13054966)

#### What Are G2 Users Discussing About Site24x7?

- [What is the use of network monitoring tool?](https://www.g2.com/discussions/what-is-the-use-of-network-monitoring-tool)
- [What is Site24x7?](https://www.g2.com/discussions/what-is-site24x7) - 1 comment
- [What are the key features of network monitoring tool?](https://www.g2.com/discussions/what-are-the-key-features-of-network-monitoring-tool)
- [What is the use of Site24x7?](https://www.g2.com/discussions/what-is-the-use-of-site24x7) - 1 comment

[
Dash0
](https://www.g2.com/products/dash0/reviews)

By [Dash0](https://www.g2.com/sellers/dash0-d8c455c3-cd78-4a96-904e-add5fd91946b)

[

4.8/5(43)

](https://www.g2.com/products/dash0/reviews)

What do users say?

Users consistently praise Dash0 for its ease of use and responsive support, highlighting how the platform's OpenTelemetry integration simplifies setup and data management. The intuitive interface allo

Pros and Cons

[
Ease of Use (30)
](https://www.g2.com/products/dash0/reviews?qs=pros-and-cons)[
Limited Features (10)
](https://www.g2.com/products/dash0/reviews?qs=pros-and-cons)

### [Dash0](https://www.g2.com/products/dash0/reviews)

Dash0 is the only OpenTelemetry Native observability platform built with developers in mind. With granular, resource-centric monitoring, Dash0 provides real-time visibility across your applications and infrastructure. Its simple, transparent pricing and seamless integration with open standards like Perses, PromQL, and Kubernetes make it a breeze to use. Dash0 helps you quickly spot issues and optimize performance with actionable insights from logs, traces, and metrics, all in one place.

**Average Rating:** 4.8/5.0

**Total Reviews:** 43

#### How Do G2 Users Rate Dash0?

- **Alerts:** 9.0/10 (Category avg: 8.6/10)
- **Data Sources:** 9.6/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Dash0?

- **Seller:** [Dash0](https://www.g2.com/sellers/dash0-d8c455c3-cd78-4a96-904e-add5fd91946b)
- **Company Website:** www.dash0.com
- **Year Founded:** 2023
- **HQ Location:** New York
- **Twitter:** @dash0hq  
2,320 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4e4c899682d984295874e0148b15c2841f95e82d8410895466d1aac0e5aa0dd2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdash0hq&secure%5Burl_type%5D=linkedin_company_website)  
167 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 51% Small, 30% Medium

#### What Do G2 Reviewers Say About Dash0?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Dash0, appreciating its intuitive interface and seamless setup process.
- Users commend the **responsive customer support** from knowledgeable engineers, enhancing their experience with Dash0.
- Users praise Dash0 for its **user-friendly interface** , which simplifies complex tasks and enhances overall efficiency.
- Users find Dash0's **easy setup** process seamless, enabling swift integration and effective usage right from the start.
- Users appreciate the **easy integrations** of Dash0, enabling seamless setup and smooth data management effortlessly.

##### Cons

- Users find Dash0 has **limited features** , lacking many advanced tools present in more established competitors.
- Users note the **feature deficiency** in Dash0, as some advanced functions are still in development compared to competitors.
- Users note **missing features** in Dash0, as it is still in development compared to more established tools.
- Users find **limited customization** options in Dash0, impacting their ability to utilize all necessary observability features.
- Users note significant **feature limitations** in Dash0, indicating a need for more advanced tools and documentation.

#### What Are Recent G2 Reviews of Dash0?

**["Reliable OpenTelemetry Monitoring with Real-Time Metrics and Traces"](https://www.g2.com/survey_responses/dash0-review-13126011)**

**Rating:** 5.0/5.0 stars

_— Игорь H._

[Read full review](https://www.g2.com/survey_responses/dash0-review-13126011)

**["Sleek, OTel-Native Observability with Fast UI and Excellent Support"](https://www.g2.com/survey_responses/dash0-review-12212252)**

**Rating:** 4.5/5.0 stars

_— Michael E._

[Read full review](https://www.g2.com/survey_responses/dash0-review-12212252)

[
Progress MOVEit
](https://www.g2.com/products/progress-moveit/reviews)

By [Progress Software](https://www.g2.com/sellers/progress-software)

[

4.4/5(529)

](https://www.g2.com/products/progress-moveit/reviews)

What do users say?

Users consistently praise the ease of use and robust security features of Progress MOVEit, highlighting its intuitive interface that simplifies file transfers and automation. The platform's strong cus

Pros and Cons

[
Ease of Use (62)
](https://www.g2.com/products/progress-moveit/reviews?qs=pros-and-cons)[
Complexity (34)
](https://www.g2.com/products/progress-moveit/reviews?qs=pros-and-cons)

### [Progress MOVEit](https://www.g2.com/products/progress-moveit/reviews)

Progress MOVEit software helps IT operations, enterprise architecture, security and compliance teams automate and secure enterprise file transfers while supporting strict regulatory requirements such as HIPAA, PCI DSS and GDPR. When file transfer volumes grow and oversight requirements tighten, fragmented tools and manual processes can increase operational risk, cause productivity fire drills and add complexity to audit preps. Progress MOVEit Transfer centralizes managed file transfer activity into a single, controlled environment to improve visibility, governance and reliability of mission-critical data flows. Progress MOVEit Cloud extends these capabilities through a fully managed, auditor-certified SaaS deployment that leverages the same documented controls, encryption, detailed audit logging and role-based access without the burden of infrastructure management or software upgrades. Progress MOVEit Automation adds no-code, policy-driven file transfer orchestration that replaces manual scripting, reducing errors that lead to missed SLAs and delays in downstream workflows. MOVEit Automation supports the protocols businesses use today (SFTP, FTPS, HTTPS and more) and seamlessly connects to legacy and cloud endpoints with native connectors. Together, MOVEit Transfer, MOVEit Cloud and MOVEit Automation help regulated organizations or businesses with private data reduce risk, improve operational efficiency and maintain consistent control over data movement. Start your 30-day trial, get a quote, or request more information at www.progress.com/moveit

**Average Rating:** 4.4/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate Progress MOVEit?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Progress MOVEit?

- **Seller:** [Progress Software](https://www.g2.com/sellers/progress-software)
- **Company Website:** www.progress.com
- **Year Founded:** 1981
- **HQ Location:** Burlington, MA.
- **Twitter:** @ProgressSW  
48,773 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab257d11ab0255eaaae8c28635f37e0e64277d81eae954d5985edfd545cd2d69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprogress-software%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,205 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, System Administrator
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 40% Medium, 39% Large

#### What Do G2 Reviewers Say About Progress MOVEit?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **intuitive interface** of Progress MOVEit, making file transfers and automation effortless.
- Users love the **seamless file transfer** capabilities of Progress MOVEit, highlighting its ease of use and implementation.
- Users value the **automation capabilities** of Progress MOVEit, simplifying file transfers and enhancing productivity with ease.
- Users value the **robust security features** of Progress MOVEit, ensuring safe and reliable file transfers.
- Users value the **seamless integration and ease of use** of Progress MOVEit for secure file transfers.

##### Cons

- Users find the **backend complexity** of Progress MOVEit challenging, making troubleshooting and advanced tasks difficult.
- Users find the **difficult learning curve** for advanced tasks and script integration frustrating and time-consuming.
- Users face **integration issues** that complicate support access and disrupt workflow, particularly with email systems like MS Outlook.
- Users face **security issues** with Progress MOVEit, particularly regarding encryption, vulnerability management, and file handling complexities.
- Users note that the **slow performance** of MOVEit can hinder efficiency, especially when managing large file transfers.

#### What Are Recent G2 Reviews of Progress MOVEit?

**["Effortless File Transfers, Needs Better Support"](https://www.g2.com/survey_responses/progress-moveit-review-10906661)**

**Rating:** 5.0/5.0 stars

_— Vaibhav S._

[Read full review](https://www.g2.com/survey_responses/progress-moveit-review-10906661)

**["Reliable, Secure Managed File Transfers with Powerful Automation"](https://www.g2.com/survey_responses/progress-moveit-review-12558586)**

**Rating:** 4.5/5.0 stars

_— Raakesh M._

[Read full review](https://www.g2.com/survey_responses/progress-moveit-review-12558586)

#### What Are G2 Users Discussing About Progress MOVEit?

- [What is MOVEit used for?](https://www.g2.com/discussions/what-is-moveit-used-for) - 1 comment, 1 upvote
- [What is Ipswitch used for?](https://www.g2.com/discussions/what-is-ipswitch-used-for) - 2 comments
- [Is MOVEit secure?](https://www.g2.com/discussions/is-moveit-secure) - 2 comments, 1 upvote
- [What is MOVEit automation?](https://www.g2.com/discussions/what-is-moveit-automation) - 1 comment
- [What is MOVEit transfer?](https://www.g2.com/discussions/what-is-moveit-transfer) - 1 comment

[
Panther
](https://www.g2.com/products/panther/reviews)

By [Panther Labs](https://www.g2.com/sellers/panther-labs)

[

4.7/5(49)

](https://www.g2.com/products/panther/reviews)

What do users say?

Users consistently praise Panther for its ease of use and flexibility in detection, allowing teams to implement detection as code with Python. The platform's intuitive interface and responsive support

Pros and Cons

[
Customer Support (13)
](https://www.g2.com/products/panther/reviews?qs=pros-and-cons)[
Missing Features (5)
](https://www.g2.com/products/panther/reviews?qs=pros-and-cons)

### [Panther](https://www.g2.com/products/panther/reviews)

Panther is the AI SOC Platform that scales security expertise by embedding AI agents across your security operations with native access to your data lake, detection logic, and organizational knowledge. Unlike bolt-on tools, Panther's closed-loop architecture turns every alert into compounding intelligence that makes the system smarter over time. Request a demo today at: https://panther.com/product/request-a-demo/

**Average Rating:** 4.7/5.0

**Total Reviews:** 49

#### How Do G2 Users Rate Panther?

- **Alerts:** 9.5/10 (Category avg: 8.6/10)
- **Data Sources:** 9.8/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Panther?

- **Seller:** [Panther Labs](https://www.g2.com/sellers/panther-labs)
- **Company Website:** panther.com
- **Year Founded:** 2018
- **HQ Location:** San Francisco, CA
- **Twitter:** @runpanther  
4,437 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5e833e3ee9905da8ffc2168b1d7db4af5d6a4643d77358f095ebefb033c5103a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frunpanther%2F&secure%5Burl_type%5D=linkedin_company_website)  
300 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Security Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Medium, 29% Large

#### What Do G2 Reviewers Say About Panther?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Panther's **outstanding customer support** , highlighting its responsiveness and commitment to resolving issues efficiently.
- Users commend Panther for its **exceptional detection efficiency** , enabling effective and purposeful responses in security operations.
- Users find Panther's **intuitive interface** and comprehensive documentation make it easy to navigate and use effectively.
- Users praise the **easy integrations** with various log sources, simplifying security management and boosting team efficiency.
- Users praise Panther for its **purposeful features and continuous improvements** , enhancing usability and aligning with market needs.

##### Cons

- Users find Panther has **missing features** like version control and underdeveloped response workflows, complicating overall use.
- Users find Panther's **complexity challenging** , particularly for non-technical teams and in managing version controls.
- Users find the **Alert Management limited** due to lack of customization and configuration challenges affecting efficiency.
- Users find the **complex configuration** of Panther burdensome, complicating integration with deployment pipelines and automation systems.
- Users find the **dashboard issues** in Panther limit comprehensive security leadership insights and advanced customization options.

#### What Are Recent G2 Reviews of Panther?

**["Panther’s SIEM + AI Makes Triage and Threat Hunting Fast and Seamless"](https://www.g2.com/survey_responses/panther-review-12919421)**

**Rating:** 5.0/5.0 stars

_— Richard E._

[Read full review](https://www.g2.com/survey_responses/panther-review-12919421)

**["Panther Makes Security Operations Simpler and Faster"](https://www.g2.com/survey_responses/panther-review-12890548)**

**Rating:** 5.0/5.0 stars

_— Busra K._

[Read full review](https://www.g2.com/survey_responses/panther-review-12890548)

#### What Are G2 Users Discussing About Panther?

- [What is Panther used for?](https://www.g2.com/discussions/what-is-panther-used-for) - 1 comment

[
Elasticsearch
](https://www.g2.com/products/elastic-observability/reviews)

By [Elastic](https://www.g2.com/sellers/elastic)

[

4.2/5(91)

](https://www.g2.com/products/elastic-observability/reviews)

What do users say?

Users consistently praise the product for its flexibility and ease of use, highlighting how it simplifies log management and data visualization. Many appreciate the powerful search capabilities and th

Pros and Cons

[
Ease of Use (7)
](https://www.g2.com/products/elastic-observability/reviews?qs=pros-and-cons)[
Learning Curve (5)
](https://www.g2.com/products/elastic-observability/reviews?qs=pros-and-cons)

### [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews)

OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time. Accelerate troubleshooting with built-in agentic workflows and an AI Assistant that goes well beyond chat to bolster team expertise and guide investigations, grounded with context from your organizational knowledge-bases. More data, more problems? Not anymore. Most observability and logging solutions weren’t built for today’s scale. Elastic is. Our architecture is designed to handle petabytes of logs with indexing, compression, and efficient searchable storage so you can keep all the telemetry you need, without breaking the bank. Store more, spend less, and resolve issues faster with a scalable, open, and extensible platform that unifies visibility across your entire environment.

**Average Rating:** 4.2/5.0

**Total Reviews:** 89

#### How Do G2 Users Rate Elastic Observability?

- **Alerts:** 8.7/10 (Category avg: 8.6/10)
- **Data Sources:** 8.7/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Elastic Observability?

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Company Website:** www.elastic.co
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Large, 48% Medium

#### What Do G2 Reviewers Say About Elastic Observability?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive user interface** of Elastic Observability, making it easy to navigate and set up.
- Users value the **real-time alerting capabilities** of Elastic Observability, enhancing proactive monitoring and system insights.
- Users appreciate the **excellent log collection** capabilities of Elastic Observability, streamlining their monitoring and analysis tasks.
- Users appreciate the **excellent monitoring capabilities** of Elastic Observability, simplifying their data collection and analysis processes.
- Users value the **easy integration and flexibility** of Elastic Observability, enhancing troubleshooting and operational visibility.

##### Cons

- Users find the **learning curve steep** , requiring significant training and knowledge to effectively utilize Elastic Observability.
- Users find the **difficult learning** curve challenging, particularly for teams unfamiliar with Elastic Stack and ELK.
- Users find it frustrating that there is **limited integration and alerting for log management** , which complicates log visibility.
- Users find the **learning difficulty** daunting, especially when navigating extensive logs and advanced features for the first time.
- Users struggle with **log management issues** , facing challenges with alerting, APM integration, and lack of centralized log viewing.

#### What Are Recent G2 Reviews of Elastic Observability?

**["Insightful, But Needs Improved Customization"](https://www.g2.com/survey_responses/elastic-observability-review-12668298)**

**Rating:** 4.0/5.0 stars

_— Sam ._

[Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12668298)

**["APM is a Game-Changer for GKE Infrastructure"](https://www.g2.com/survey_responses/elastic-observability-review-12628710)**

**Rating:** 5.0/5.0 stars

_— Ever M._

[Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12628710)

#### What Are G2 Users Discussing About Elastic Observability?

- [Can I use Elasticsearch as a database?](https://www.g2.com/discussions/can-i-use-elasticsearch-as-a-database)
- [Can I use Elasticsearch for free?](https://www.g2.com/discussions/can-i-use-elasticsearch-for-free) - 1 comment
- [What is elastic search?](https://www.g2.com/discussions/what-is-elastic-search)
- [What is elastic search used for?](https://www.g2.com/discussions/what-is-elastic-search-used-for)

[
Last9
](https://www.g2.com/products/last9-last9/reviews)

By [Last9](https://www.g2.com/sellers/last9)

[

4.7/5(51)

](https://www.g2.com/products/last9-last9/reviews)

What do users say?

Users consistently praise Last9 for its reliable observability and intuitive dashboards, which simplify monitoring and debugging across systems. The platform's focus on actionable metrics and proactiv

Pros and Cons

[
Ease of Use (26)
](https://www.g2.com/products/last9-last9/reviews?qs=pros-and-cons)[
Difficult Learning (8)
](https://www.g2.com/products/last9-last9/reviews?qs=pros-and-cons)

### [Last9](https://www.g2.com/products/last9-last9/reviews)

Last9 is the preferred single pane of observability for Logs, Traces, Metrics, built for modern engineering teams and high cardinality environments. — OpenTelemetry native, Cloud Native and Prometheus compatible, with support for 100+ integrations — Simple pricing model with a predictable “pay for what you use” plan, no per host or per user billing ——— Application developers, infrastructure engineers, DevOps & SREs, and business users send their Logs, Traces, and Metrics to Last9’s telemetry warehouse to monitor their services and systems and run alerting with anomaly algorithms for changes in patterns and behavior. Users are provided a Control Plane, as a first-class developer experience, to manage their telemetry data, its lifecycle, and its associated costs. Pre-Ingestion Workflows to filter, drop, and enrich data even before it’s stored don’t require instrumentation or code changes, and also enable engineering teams to not sacrifice visibility for cost optimizations. With Last9 built for high cardinality in mind — a generous 20M active time series per metric per day is supported, and tools like Cardinality Explorer & Streaming Aggregations allow identifying and handling telemetry with large cardinality. With correlated telemetry, Last9’s native explorer for Logs, Traces, and Metrics empowers users to quickly debug issues and not change context by allowing to jump between telemetry data, teams have the flexibility to use any tool that they’re comfortable with — either the embedded Grafana dashboard that Last9 comes with, or use Last9 as a data source for their preferred visualization tool. Organizations can choose between a SaaS or a BYOC/on-prem deployment model. Last9 is available on both AWS and GCP marketplaces. ——— Customers include Replit, Disney+ Hotstar, Clevertap, Circle, Probo, and Quickwork. Last9 is backed by Sequoia India (now called Peak XV) and Better Capital, along with a handful of prominent angels and advisors from Hashicorp, GoJek, Razorpay, Sendbird, and more.

**Average Rating:** 4.7/5.0

**Total Reviews:** 51

#### How Do G2 Users Rate Last9?

- **Alerts:** 9.3/10 (Category avg: 8.6/10)
- **Data Sources:** 9.2/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10)
- **Metric and Event Data:** 9.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Last9?

- **Seller:** [Last9](https://www.g2.com/sellers/last9)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, California
- **Twitter:** @last9io  
3,031 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=edabb07b6f8a009e0c82b051943c98b8152ccad8ac4ec6ef19acc13770c15491&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flast9%2F&secure%5Burl_type%5D=linkedin_company_website)  
32 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 67% Medium, 31% Small

#### What Do G2 Reviewers Say About Last9?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Last9 to be **user-friendly** , facilitating smooth integration and effective debugging for operational needs.
- Users rave about Last9's **responsive customer support** , easing platform setup and enhancing overall user experience.
- Users value the **reliable support** from Last9, enhancing their experience and ensuring smooth platform adoption.
- Users appreciate the **easy integrations** of Last9, allowing for a seamless debugging experience and efficient data management.
- Users appreciate the **easy integration and debugging** features of Last9, enhancing their overall experience and efficiency.

##### Cons

- Users find the **difficult learning curve** of Last9 challenging, particularly with initial setup and navigating concepts effectively.
- Users face **dashboard issues** with UI lag and improper updates, complicating troubleshooting and overall usability.
- Users note the **steep learning curve** for new features in Last9, though the support team helps ease transitions.
- Users note the **feature deficiency** of Last9, citing a need for more advanced functionalities and user-friendly options.
- Users find the **learning difficulty** of Last9 challenging initially, despite helpful guidance from the support team.

#### What Are Recent G2 Reviews of Last9?

**["A critical piece of our new telemetry system"](https://www.g2.com/survey_responses/last9-review-11715641)**

**Rating:** 5.0/5.0 stars

_— Brennan W._

[Read full review](https://www.g2.com/survey_responses/last9-review-11715641)

**["Clarity-Driven Reliability That Empowers Confident Teams"](https://www.g2.com/survey_responses/last9-review-11971698)**

**Rating:** 5.0/5.0 stars

_— Jayshree S._

[Read full review](https://www.g2.com/survey_responses/last9-review-11971698)

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 ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin")
TL

Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin)

Updated October 3, 2024

Log analysis software helps enable the documentation of application log files for records and analytics. This type of software provides tools to increase the collection of logs as well as centralized databases for storing data. Furthermore, log analysis tools include analytics components such as prebuilt dashboards to identify the cause and impact of events, while also offering the ability to query the logs to discover actionable data. Monitoring features also form a large component of log analysis; these features, sometimes powered by machine learning, help detect, predict, and prevent future anomalies. Companies use this data to better understand performance failures, remediate them, and learn how to prevent them in the future, with a goal of improved application performance and reliability.

Some [application performance monitoring (APM) software](https://www.g2.com/categories/application-performance-monitoring-apm), [container management software](https://www.g2.com/categories/container-management), and [enterprise monitoring software](https://www.g2.com/categories/enterprise-monitoring) offer log analytics features, but typically do not focus on log management specifically. Business users looking to analyze log data in real time can leverage [stream analytics software](https://www.g2.com/categories/stream-analytics) and analyze data transferred among a whole range of internet of things (IoT) endpoints and devices, including smart cars, machinery, or home appliances.

To qualify for inclusion in the Log Analysis category, a product must:

- Document operations and authentication events
- Assist in mapping, tagging, and classifying logs
- Store logs in a centralized location
- Provide analytics features, such as dashboards, to identify causation and event prediction
- Allow the user to search and filter logs

Top Tools at a Glance

| 

 | 

Unified observability with correlated logs, traces, metrics

 | 

User Review

"Faster incident detection and root-cause analysis, leading to better customer experience."

 |
| 

 | 

Full-stack observability with distributed tracing

 | 

User Review

"New Relic User Experience Review"

 |
| 

 | 

Cost-optimized log correlation with real-time anomaly detection

 | 

User Review

"Reliable Log Monitoring with Room for Improvement"

 |
| 

 | 

Real-time error context with stack traces

 | 

User Review

"Best Log Monitoring for Catching Live App Errors"

 |
| 

 | 

AI-driven root cause analysis with PurePath tracing

 | 

User Review

"Comprehensive Observability, Excellent AI, but Complex Pricing"

 |
| 

 | 

Cloud-native log analysis with AI-assisted troubleshooting

 | 

User Review

"Centralized Logging with Intuitive Dashboards"

 |
| 

 | 

Centralized log search across distributed microservices

 | 

User Review

"Powerful Centralized Log Management with Elastic Stack"

 |
| 

 | 

Real-time security correlation across distributed infrastructure

 | 

User Review

"Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure"

 |
| 

 | 

Unified infrastructure monitoring with log correlation

 | 

User Review

"Single Dashboard Monitoring That Makes Infrastructure Management Effortless"

 |

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Show More

* * *

## How Do You Choose the Right Log Analysis Software?

### What You Should Know About Log Analysis Software

### What is Log Analysis Software?

Businesses rely on a vast array of tools, including applications, legacy systems, and mainframes. These tools produce log files (or logs) which are records of events that occur on a network, in an operating system, or within other software. These messages based on activity and data flow indicate how the resources within the network environment are performing or being used. Log analysis software helps to not only document and collect these logs, but also provides tools for analyzing them to better understand the cause and impact of events.

As IT infrastructure becomes more complex and distributed, it is becoming increasingly important to ensure that it is properly understood in all of its facets. Log analysis software provides the tools that businesses need to understand the infrastructure, whether it is an application, operating system, or device. Log analysis helps users understand patterns and trends in activity within the infrastructure. 

Log analysis data may be used to troubleshoot performance issues with specific applications and identify potentially threatening anomalies. Regular log management, analysis, and archiving are also key tasks for demonstrating compliance with various security standards and regulations. Overall, users are enabled to make the most of the benefits of log data analysis by incorporating log analysis tools into their business practices.

#### What Types of Log Analysis Software Exist?

Log analysis software, with logs at its core, is able to handle different varieties of logs, allowing businesses to get a bird's eye view of their IT system and beyond. As such, it is helpful to understand the different types of logs which these tools analyze.

**Event log analysis**

Event logs record events taking place in the execution of a system to provide an audit trail that is used to understand the activity of the system and to diagnose problems. They are essential to understand the activities of complex systems, particularly in the case of applications with little user interaction, such as server applications.

**Transaction log analysis**

Most database systems maintain some kind of transaction log, which are not mainly intended as an audit trail for later analysis, and are not intended to be human readable. These logs record changes to the stored data to allow the database to recover from crashes or other data errors and maintain the stored data in a consistent state.

**Message log analysis**

Instant messaging programs, peer-to-peer file applications with chat functions, and multiplayer games commonly have the ability to automatically log or save textual communication, both public and private chat messages between users.

### What are the Common Features of Log Analysis Software?

Log analysis tools are designed to streamline the process of collecting, archiving, and deriving actionable insights from data log files. They both centralize and standardize logs from across the network. The files come in different formats as many different elements of IT infrastructure generate event logs. Log viewer software streamlines the process by relegating all files to a shared format and terminology. This ensures cohesive and uniform analysis and archiving, and more accurate and comprehensive reports and statistics.

The following are some core features within log analysis software that can help users in monitoring, visualizing, and understanding their log data:

**Monitoring:** Monitoring is a large part of log analysis. These features help detect, predict, and prevent future anomalies. Companies use this data to better understand performance failures, remediate them, and learn how to prevent them in the future. In regards to how one can interact and engage with this data, log analysis software helps businesses query, filter, and analyze log data effectively and efficiently. For more advanced tools, users are enabled to search in a natural, intuitive manner or sift through many logs with a few clicks.

**Visualization:** Customizable dashboards help align teams by visualizing logs, metrics, and performance data for full-stack visibility and reliable delivery.

**Alerting:** Real-time analytics help users rapidly identify and resolve potential cyber attacks, detect and prevent breaches, and reduce compliance costs.

**Data centralization:** Log analytics tools integrate with applications and make it easy to aggregate data across the stack.

Other Features of Log Analysis Software: [Automated Tagging Capabilities](https://www.g2.com/categories/log-analysis/f/automated-tagging), [Data Discovery Capabilities](https://www.g2.com/categories/log-analysis/f/data-discovery), [Detect Anomalies Capabilities](https://www.g2.com/categories/log-analysis/f/detect-anomalies), [Live Tail Capabilities](https://www.g2.com/categories/log-analysis/f/live-tail), [Track Trends Capabilities](https://www.g2.com/categories/log-analysis/f/track-trends)

### What are the Benefits of Log Analysis Software?

Log analysis data may be used to troubleshoot performance issues with specific applications and identify potentially threatening anomalies. Regular log management, analysis, and archiving are also key tasks for demonstrating compliance with various security standards and regulations. Overall, users are enabled to make the most of the benefits of log data analysis by incorporating log analysis tools into their business practices.

**Compliance:** With log analysis tools, businesses continually track whether they are meeting benchmarks for regulations such as General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

**Better security:** Log analysis provides instant awareness of any security red flags. A log analyzer tool helps block and filter incoming network traffic, keep IT admins alerted about failed authentication attempts, and ensure firewall configurations are operating most effectively.

**Smarter business operations:** Departments such as finance and accounting, HR, and legal rely on IT resources to carry out their business-critical tasks and responsibilities. Hence, log analysis tools provide the functionality necessary to spot critical system errors or trends and address them quickly and efficiently.

### Who Uses Log Analysis Software?

**DevOps engineers:** DevOps engineers can use log analysis tools to troubleshoot, helping them find system errors. This can help improve operational efficiency by reducing production downtime.

**System administrators:** System administrators can use these tools to gain visibility into the performance and health of applications and infrastructure. By reviewing event logs, for example, they can see an audit trail which helps them better understand system behavior and diagnose any potential issues.

**Site reliability engineers:** Site reliability engineers are bridging the gap between production and development teams, ensuring properly running sites that meet operational requirements. As such, they focus largely on application monitoring and must have a deep knowledge of the application's inner workings and underpinnings, such as code and configuration. Therefore, they can benefit from log analysis to help them create and maintain operational runbooks, monitor application performance, and more.

**Web developers** : Logging gives developers and other DevOps professionals a way to understand what went wrong and provides insight into how to fix it. They can use this software to parse server log files from web servers, which can provide information about things such as when, how, and by whom a web server is visited. Through reports, dashboards, and custom queries, they can get a better understanding of website performance and determine steps forward for monitoring their website.

### What are the Alternatives to Log Analysis Software?

Alternatives to log analysis software can replace this type of software, either partially or completely:

[Log monitoring software](https://www.g2.com/categories/log-monitoring): Log monitoring software helps users looking for a basic tool to keep track of their logs, without the need for sophisticated analytics. This helps maintain IT infrastructure performance and pinpoints issues to prevent downtime and mitigate risks. These tools will often integrate with IT alerting software, log analysis software, and other IT issue resolution products to more aptly flesh out the IT infrastructure maintenance ecosystem.

[Application performance monitoring (APM) software](https://www.g2.com/categories/log-analysis#learn-more): APM tools allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. These solutions provide performance metrics for applications, with specific insights into the statistics such as the number of transactions processed by the application or the response time to process such transactions.

[Network monitoring software](https://www.g2.com/categories/application-performance-monitoring-apm): Network monitoring software focuses more heavily on network traffic and health. APM software can reveal network-side issues with application performance, where network monitoring would take over to provide further details on any issues.

[Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include integrations for log data, but are broader-focused tools that facilitate the five elements: data preparation, data modeling, data blending, data visualization, and insights delivery.

[Security information and event management (SIEM) software](https://www.g2.com/categories/security-information-and-event-management-siem): SIEM software includes log analysis and provides tools for taking actions based on log files. This software helps to centralize security operations into a single location, helping teams navigate historical logs, identify trends, and better fortify their networks. 

#### Software Related to Log Analysis Software

Related solutions that can be used together with log analysis software include:

[Data warehouse software](https://www.g2.com/categories/data-warehouse): Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows business intelligence (BI) and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software.

[Data preparation software](https://www.g2.com/categories/data-preparation): A key solution necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean, and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using BI tools. Some BI platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool.

### Challenges with Log Analysis Software

Software solutions can come with their own set of challenges. 

**Data security:** Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform.

**Adoption:** At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption.

**Time to market:** As with any software implementation, it is important to think about how long it will take to implement. Users should also consider related software that a company might need, such as [data integration software](https://www.g2.com/categories/data-integration).

### Which Companies Should Buy Log Analysis Software?

In the data-driven world, IT is no exception. While IT teams, including DevOps engineers and system administrators, are the most common users of log analysis software, self-service tools and dashboards allow for this data and analysis to be shared with the broader business. With almost all businesses having some sort of IT function, log analysis software can have a positive impact on businesses across all industries and company sizes. Here are a couple of examples:

**Retail:** If web purchases drive a majority of the business revenue, optimal website and web application performance is critical. Continual monitoring helps businesses to not only avoid overloads but also understand their standard traffic patterns. This is then utilized to predict the optimal allocation of resources for site growth.

**Healthcare:** Technological uptime and performance are imperative when the goal is improving the customer’s health. Log analysis solutions allow providers to monitor their IT in real time, which helps catch and prevent downtimes before they affect patients. Full topological and transactional visibility provided by log analysis software helps providers continue giving quality patient care despite technological hiccups.

### How to Buy Log Analysis Software

#### Requirements Gathering (RFI/RFP) for Log Analysis Software

If a company is just starting out on their IT journey, g2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2 is a great place to sort and filter reviews based on these criteria, along with many more.

The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs, as well as their future needs as they accumulate more data. In this case, it is key for IT professionals to develop a broad IT strategy and ensure that they have the basics in place, such as [IT alerting software](https://www.g2.com/categories/it-alerting), before they begin to look at the added benefit of log analysis.

To find the right solution, buyers should determine their pain points and write them down. Things to keep in mind and evaluate include: log data types, the types of visualizations which would be helpful, the forms and frequencies of alerts, etc. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy.

Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from log analysis software.

#### Compare Log Analysis Software Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of Log Analysis Software

**Choose a selection team**

As log analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes and facts and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities.

**Negotiation**

Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### What Does Log Analysis Software Cost?

Businesses decide to deploy log analysis software with the goal of deriving some degree of a return on investment (ROI).

#### Return on Investment (ROI)

As businesses are looking to recoup their losses that they spent on the software, it is critical to understand the costs associated with it. This software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money.

Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre- and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from their use of the log analysis tool.

### Implementation of Log Analysis Software

**How is Log Analysis Software Implemented?**

Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether that be an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively.

**Who is Responsible for Log Analysis Implementation?**

It may require a lot of people, or many teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, it is rare that one person or even one team has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together their data and begin the journey of analytics, starting with proper data preparation and management.

### Log Analysis Software Trends

Log analysis software is getting supercharged with the help of technology like machine learning. With this advanced version of the software, business professionals without a strong data background are able to use the tools, digging deep into the data to better understand the business.

**Volume, velocity, and variety of data**

Data is being produced at a rapid rate and the data types are not all of one flavor. Individual businesses produce a range of data types like sensor data from internet of things (IoT) devices, event logs, and clickstreams. As such, the tools needed to process and distribute this data need to be able to handle this load in a way that is scalable, cost efficient, and effective. Advances in artificial intelligence (AI) techniques, such as machine learning, are helping to make this more manageable.

**Self service**

As with other types of analytics tools, there is an increasing trend for software to be of a self-service nature. This means that non professionals should be able to use the tool easily with little to no IT support for setting it up. With drag-and-drop interfaces or highly customizable setups, average business users are being empowered by statistical analysis capabilities.

**Augmented analytics**

AI and machine learning are making inroads across most industries and business use cases with statistics being no exception. With machine learning powering statistical analysis, users are able to discover data, determine the best type of analysis to deploy for a particular data set or problem, and more.

### Log Analysis Software FAQs

### Most Popular FAQs

#### Which log analysis software has the best reviews?

Sentry, Coralogix, New Relic, and Datadog lead the Log Analysis category, with DevOps, security, and platform engineering teams citing real-time alerting, full-stack correlation, and query performance at scale as the capabilities they rely on most. Here’s why these four platforms stand out across the category:

- [Sentry](https://www.g2.com/products/sentry/reviews): The most reviewed log analysis platform in the category, rated for making debugging fast and practical with real-time, actionable error and performance insights that reduce guesswork for engineering teams.
- [Coralogix](https://www.g2.com/products/coralogix/reviews): A cost-effective observability platform praised for its user-friendly UI, AI-powered Dataprime query support, and ability to ingest logs, traces, metrics, and profiling data in a single environment.
- [New Relic](https://www.g2.com/products/new-relic/reviews): Rated for end-to-end visibility across applications and infrastructure, with reviewers citing fast APM integration for Node.js and Python services and clear performance insights that surface friction in production quickly.
- [Datadog](https://www.g2.com/products/datadog/reviews): A unified observability platform rated for acting as a single source of truth across logs, metrics, APM, and infrastructure, with strong integrations for Slack and PagerDuty and flexible log aggregation at scale.

#### What log analysis software integrates with cloud monitoring systems?

Engineering teams running on AWS, GCP, or Azure want log analysis that connects natively to their cloud provider rather than living as a parallel system. These platforms have the deepest cloud monitoring integrations:

- [Datadog](https://www.g2.com/products/datadog/reviews): Native integrations across AWS, GCP, and Azure with automatic ingestion of CloudWatch, Stackdriver, and Azure Monitor logs alongside metrics and traces, giving cloud teams unified observability without separate ingestion pipelines.
- [New Relic](https://www.g2.com/products/new-relic/reviews): Connects directly to cloud provider monitoring streams and APM data across AWS, GCP, and Azure, with full-stack telemetry that lets engineering teams correlate logs with infrastructure metrics in a single view.
- [Sumo Logic](https://www.g2.com/products/sumo-logic/reviews): A cloud-native log management platform with deep AWS, GCP, and Azure integrations including support for cloud audit logs, VPC flow logs, and Kubernetes data, used by teams running multi-cloud environments.

#### What is the top log analysis tool for DevOps teams?

DevOps teams need log analysis tools that surface production errors fast, integrate with CI/CD and alerting workflows, and provide actionable insights without drowning engineers in noise. Here are the top log analysis tools for DevOps team:

- [Dash0](https://www.g2.com/products/dash0/reviews): An OpenTelemetry-native observability platform rated by DevOps teams for unifying logs, metrics, and traces in a single tool, eliminating the need to juggle multiple monitoring systems across a fragmented stack.
- [Last9](https://www.g2.com/products/last9-last9/reviews): A reliability-focused observability platform rated for surfacing only what truly matters, with reviewers citing its focus on actionable metrics and its ability to maintain visibility in complex distributed architectures without alert fatigue.
- [Middleware](https://www.g2.com/products/middleware/reviews): A full-stack observability platform rated by DevOps teams for correlating logs, metrics, and traces in a developer-friendly interface that reduces the time to identify root causes across microservices environments.

#### Which vendor offers AI-powered anomaly detection in logs?

Engineering and security teams need log analysis platforms that apply machine learning to automatically flag unusual patterns, reducing manual triage time and catching issues before they escalate. Here are the top vendors that offer AI-powered anomaly detection in logs:

- [Panther](https://www.g2.com/products/panther/reviews): A security-focused log analysis platform with AI Triage that reviewers describe as a game changer for reducing alert fatigue, using detection-as-code workflows and AI-assisted triage to surface only the behaviors that matter.
- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): An AI-driven observability platform that uses Davis AI to correlate log messages with performance problems, automatically define custom log metrics, and perform root-cause analysis across production environments.
- [Better Stack](https://www.g2.com/products/better-stack/reviews): A monitoring and log management platform rated for combining real-time log analysis, uptime monitoring, and incident management with intelligent alerting that reduces noise for on-call engineering teams.

#### What is log analysis?

Log analysis is the process of collecting, parsing, and interpreting log files generated by applications, servers, and network devices to extract insights about system performance, errors, and security events. Log analysis tools process unstructured text data to identify patterns, anomalies, and threats in real time, giving DevOps and security teams the visibility they need to debug production issues, detect breaches, and meet compliance requirements. Modern log analysis platforms aggregate data from multiple sources, apply AI and machine learning to surface relevant signals, and correlate logs with metrics and traces for faster root-cause analysis.

### Small Business FAQs

#### What is the most affordable log analysis software for SMBs?

Most small engineering teams do not need a full-scale observability platform. These [log analysis tools for small businesses](https://www.g2.com/categories/log-analysis/small-business) offer search, alerting, and basic anomaly detection at a cost structure that works without a dedicated infrastructure budget:

- [Site24x7](https://www.g2.com/products/site24x7/reviews): An all-in-one monitoring platform rated by SMB teams for combining log analysis with infrastructure, application, and network monitoring at a competitive price point, with a free trial and tiered plans that scale with team size.
- [Checkmk](https://www.g2.com/products/checkmk/reviews): An infrastructure and log monitoring platform with a free community edition, rated for broad integration support and a flexible deployment model that suits small IT teams managing hybrid on-premise and cloud environments.
- [Netdata](https://www.g2.com/products/netdata/reviews): An open-source real-time monitoring and log analysis tool rated for zero-configuration setup and high-resolution metrics, making it a practical low-cost starting point for small teams that need immediate system visibility.

#### What is the best log analysis software for startups?

Startup engineering teams need to start getting value from logs immediately, not after a week of setup. These tools offer fast instrumentation, generous free tiers, and SDKs for the frameworks startups actually use:

- [Sumo Logic](https://www.g2.com/products/sumo-logic/reviews): A cloud-native log management and analytics platform rated for fast onboarding and strong multi-source ingestion, used by growing engineering teams to centralize logs, monitor security signals, and meet compliance requirements from a single SaaS platform.
- [Logmanager](https://www.g2.com/products/logmanager/reviews): A log management platform rated for straightforward deployment and centralized log collection across diverse infrastructure, giving startup IT and security teams a reliable foundation for log search and alerting without complex setup.
- [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews): An Elasticsearch-based observability platform rated for powerful log search and visualization capabilities, giving startups with technical teams access to enterprise-grade log analysis infrastructure with flexible self-hosted or cloud deployment options.

#### Which log analysis software is most user-friendly for startups?

A log analysis tool that requires a week of training or a Splunk-certified admin to operate is the wrong fit for small teams. These platforms make search, dashboards, and alerting accessible to engineers who are not log specialists:

- [Sentry](https://www.g2.com/products/sentry/reviews): Earns strong ease-of-use and ease-of-setup scores, with reviewers specifically describing it as beginner-friendly and offering an easy-to-use interface that gives engineering teams actionable error insights without configuration overhead.
- [Last9](https://www.g2.com/products/last9-last9/reviews): Rated for surfacing only relevant reliability signals without overwhelming teams with noise, making it an accessible starting point for startup SRE and DevOps teams building their first observability practice.
- [Dash0](https://www.g2.com/products/dash0/reviews): Earns strong ease-of-doing-business scores with reviewers highlighting excellent direct support and a smooth OTel-native setup process that gets teams ingesting logs, metrics, and traces without complex instrumentation.

#### What log analysis tool works best for small security teams?

Security teams running lean cannot afford to spend hours triaging log noise. These tools apply structure and prioritization to security log data so small teams can focus on actual threats rather than raw event volume:

- [Panther](https://www.g2.com/products/panther/reviews): Rated by security teams for its detection-as-code approach with version-controlled alert rules and AI-powered triage that reduces alert fatigue, letting small teams focus investigation effort on the signals that actually indicate malicious behavior.
- [RunReveal](https://www.g2.com/products/runreveal/reviews): A cloud security log analysis platform built for lean security teams, offering fast querying across cloud audit logs and a detection workflow designed to be manageable without a full SOC team behind it.
- [Logmanager](https://www.g2.com/products/logmanager/reviews): A log management platform rated for centralized log collection and compliance-friendly audit trails, suited to small security teams in regulated industries that need reliable log retention and search without complex SIEM configuration.

#### What is the best log analysis tool for small teams managing cloud infrastructure?

Cloud-native teams on AWS, GCP, or Azure need log analysis that connects natively to their provider, not a tool that requires a custom ingestion pipeline to get started. These platforms are built for that environment:

- [Better Stack](https://www.g2.com/products/better-stack/reviews): A cloud-friendly monitoring and log management platform rated for combining log search, uptime monitoring, and incident alerting in a single tool that small cloud teams can adopt without an observability specialist.
- [Middleware](https://www.g2.com/products/middleware/reviews): Rated for its developer-friendly approach to full-stack observability, with small cloud teams using it to correlate logs with metrics and traces across containerized and microservices environments without managing separate tools for each signal type.
- [Sumo Logic](https://www.g2.com/products/sumo-logic/reviews): A cloud-native log management platform rated for fast onboarding and strong AWS, GCP, and Azure integrations, giving small DevOps teams a centralized log analysis environment that scales alongside growing cloud infrastructure.

### Enterprise FAQs

#### What is the best-rated log analysis software for tech enterprises?

Enterprise engineering organizations ingest log data across hundreds of services, multiple cloud accounts, and on-premise infrastructure simultaneously. These platforms handle that volume and complexity without degrading query performance:

- [Datadog](https://www.g2.com/products/datadog/reviews): Rated by enterprise teams for providing a unified view across logs, metrics, APM, and infrastructure with over 500 integrations, strong compliance tooling, and flexible retention and pricing suited to high-volume production environments.
- [New Relic](https://www.g2.com/products/new-relic/reviews): An enterprise observability platform rated for end-to-end visibility from front-end to backend, with reviewers in retail and financial services citing its ability to model business-critical user journeys and pinpoint performance friction across complex stacks.
- [Coralogix](https://www.g2.com/products/coralogix/reviews): An enterprise-grade observability platform rated by large teams for its cost-effective data pipeline architecture, AI-assisted querying, and ability to handle logs, traces, metrics, and profiling without tiered ingestion pricing that escalates unpredictably at scale.

#### What is the most reliable log analysis tool for enterprises?

In production environments at scale, the observability platform needs to be more reliable than the systems it monitors. These [log analysis platforms for enterprises](https://www.g2.com/categories/log-analysis/enterprise) have the SLA commitments, global infrastructure, and support maturity that enterprise engineering teams depend on:

- [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews): The category benchmark for enterprise log analysis, rated for its powerful SPL search language, extensive integration ecosystem, and long track record in enterprise security, compliance, and IT operations across large organizations.
- [Dynatrace](https://www.g2.com/products/dynatrace/reviews): An enterprise AI-driven observability platform rated for automated root-cause analysis, continuous log monitoring across production environments, and strong support infrastructure suited to large-scale deployments with complex dependency chains.
- [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews): The most widely deployed open-source log analysis foundation, rated by enterprise teams for its powerful search capabilities, flexible deployment options, and large ecosystem of integrations across on-premise and multi-cloud environments.

#### What is the best-reviewed log analysis software for enterprise app integration?

Log analysis data is most valuable when it connects to the incident management, deployment, and alerting systems already in use. These platforms are consistently cited by enterprise teams for native integrations across the cloud and DevOps ecosystem:

- [Sumo Logic](https://www.g2.com/products/sumo-logic/reviews): Rated by enterprise teams for broad multi-source log ingestion, strong cloud provider integrations, and security analytics capabilities that connect log data with compliance reporting and threat detection workflows across large environments.
- [Red Hat Ansible Automation Platform](https://www.g2.com/products/red-hat-ansible-automation-platform/reviews): Used by enterprise infrastructure teams alongside log analysis pipelines for automating log collection, configuration management, and remediation workflows across hybrid and multi-cloud environments.
- [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews): Rated by enterprise engineering teams for its deep integration with Elasticsearch-based infrastructure, supporting complex log correlation across application, infrastructure, and security data in a single governed platform.

#### Which log analysis platform is best for enterprises with strict security and compliance requirements?

Financial services, healthcare, and regulated infrastructure companies need log management that goes beyond operational visibility into evidence preservation. These platforms provide tamper-evident audit trails, role-based access, and retention policies that satisfy SOC 2, PCI DSS, and GDPR requirements:

- [Logmanager](https://www.g2.com/products/logmanager/reviews): A compliance-oriented log management platform rated for centralized log collection and audit trail capabilities, used in regulated industries to meet data retention and security monitoring requirements without complex custom configuration.
- [Checkmk](https://www.g2.com/products/checkmk/reviews): Rated by enterprise IT teams for reliable hybrid infrastructure monitoring with strong alerting and compliance-friendly log collection, supporting organizations that need consistent oversight across on-premise, cloud, and containerized environments.
- [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews): The category benchmark for enterprise security log analysis and compliance, rated for its SPL search language, SIEM capabilities, and audit-ready reporting that supports SOC 2, PCI DSS, and HIPAA compliance requirements for large regulated organizations.

#### Which enterprise log analysis tool has the best performance at scale?

When log ingestion is measured in terabytes per day, slow queries and index lag are not minor inconveniences. These platforms are designed to keep search fast and storage efficient as data volumes grow:

- [Site24x7](https://www.g2.com/products/site24x7/reviews): Rated by enterprise monitoring teams for consistent performance across large, distributed environments, with strong cloud-native log collection and analysis capabilities that scale alongside growing infrastructure footprints.
- [Netdata](https://www.g2.com/products/netdata/reviews): An open-source real-time monitoring platform rated for high-resolution metric and log collection at scale, offering enterprise teams a performance-efficient foundation for infrastructure observability with minimal resource overhead.
- [New Relic](https://www.g2.com/products/new-relic/reviews): An enterprise observability platform rated for end-to-end visibility and consistent query performance across high log volumes, with flexible data ingest pricing that helps large organizations manage costs as their infrastructure and logging footprint grows.

Last updated on April 27, 2026

## Frequently asked questions about Log Analysis Software

### How do log analysis tools handle data privacy and compliance?

Log analysis tools prioritize data privacy and compliance by implementing features such as data encryption, user access controls, and compliance certifications. For instance, tools like Splunk and Loggly emphasize GDPR compliance and provide audit trails to ensure data handling transparency. Other products, such as ELK Stack and Graylog, offer customizable privacy settings to help organizations meet specific regulatory requirements. Users frequently highlight the importance of these features, noting that robust compliance capabilities are essential for maintaining trust and meeting legal obligations.

### What are common use cases for log analysis in businesses?

Common use cases for log analysis in businesses include monitoring application performance, troubleshooting issues, ensuring security compliance, and analyzing user behavior. Users frequently highlight the importance of real-time monitoring and alerting features for proactive issue resolution. Additionally, log analysis tools are often employed for compliance audits and security incident investigations, with many users noting the value of centralized log management for improved visibility and faster response times. These functionalities are critical for maintaining operational efficiency and enhancing security posture.

### How do I assess the accuracy of log analysis results?

To assess the accuracy of log analysis results, consider the reliability of the data sources, the algorithms used for analysis, and user feedback on specific tools. Products like Splunk, Loggly, and Sumo Logic are noted for their robust data validation features, with users highlighting the importance of real-time monitoring and alerting capabilities. Additionally, user reviews often emphasize the significance of customizable dashboards and reporting tools, which can enhance the accuracy of insights derived from log data.

### What support options are available for log analysis software?

Log analysis software typically offers various support options, including email support, live chat, and extensive documentation. For instance, Splunk provides 24/7 support and a community forum, while Loggly offers email support and a knowledge base. Sumo Logic features live chat and a dedicated support team, and Graylog includes community support and professional services. Users often rate the responsiveness and helpfulness of these support options highly, indicating a strong emphasis on customer assistance across the category.

### How do user experiences vary across different log analysis tools?

User experiences with log analysis tools vary significantly. For instance, Splunk is praised for its powerful search capabilities and extensive integrations, receiving a high satisfaction rating of 85%. In contrast, ELK Stack users appreciate its flexibility and cost-effectiveness, but report a steeper learning curve, reflected in a lower satisfaction score of 75%. Loggly users highlight its ease of use and quick setup, achieving a satisfaction rating of 80%. Overall, while Splunk excels in advanced features, ELK Stack and Loggly cater to different user needs, impacting overall satisfaction.

### What are the typical implementation timelines for log analysis software?

Implementation timelines for log analysis software typically range from a few days to several weeks, depending on the complexity of the deployment and the specific product. For instance, products like Splunk and Loggly often report implementation times of 1-3 weeks, while others like ELK Stack may take longer due to customization needs. User feedback indicates that simpler solutions can be set up in under a week, while more comprehensive systems may require extensive configuration and integration efforts, extending the timeline significantly.

### How can log analysis tools enhance security monitoring?

Log analysis tools enhance security monitoring by providing real-time insights into system activities, enabling the detection of anomalies and potential threats. Users highlight features such as automated alerting and comprehensive log aggregation, which facilitate quicker incident response. Tools like Splunk, LogRhythm, and Sumo Logic are noted for their robust analytics capabilities, allowing teams to correlate logs from various sources, thus improving threat visibility. Additionally, user reviews emphasize the importance of customizable dashboards and reporting features that help in identifying security breaches effectively.

### What integrations should I consider for log analysis tools?

When considering integrations for log analysis tools, focus on those that enhance data ingestion and visualization. Key integrations include cloud services like AWS and Azure for scalable storage, SIEM tools such as Splunk for security insights, and monitoring platforms like Grafana for real-time analytics. Additionally, consider integrations with incident management systems like PagerDuty to streamline alerting and response processes. These integrations are frequently highlighted by users for improving overall functionality and efficiency in log analysis workflows.

### How do I evaluate the scalability of log analysis solutions?

To evaluate the scalability of log analysis solutions, consider user feedback on performance under increasing data loads. Products like Splunk, Loggly, and Sumo Logic are noted for their robust scalability features, with users highlighting Splunk's ability to handle large volumes of data efficiently. Additionally, Loggly users appreciate its seamless integration capabilities that support scaling. Sumo Logic is recognized for its cloud-native architecture, which enhances scalability. Look for user reviews that specifically mention experiences with scaling during peak usage to gauge effectiveness.

### What pricing models are common for log analysis software?

Common pricing models for log analysis software include subscription-based pricing, which is prevalent among products like Splunk and Loggly, and usage-based pricing, often seen with services like Sumo Logic. Additionally, some vendors offer tiered pricing structures based on features or data volume, as noted with products such as Graylog and ELK Stack. Free trials and freemium models are also available, allowing users to test functionalities before committing to a paid plan.

### How do log analysis tools improve operational efficiency?

Log analysis tools enhance operational efficiency by automating the monitoring and analysis of log data, which helps in identifying issues faster. Users report that tools like Splunk, Loggly, and ELK Stack significantly reduce troubleshooting time, with Splunk users noting a 30% decrease in incident resolution times. Additionally, these tools facilitate proactive system management, allowing teams to detect anomalies early, which leads to improved uptime and resource allocation. Overall, the automation and insights provided by these tools streamline workflows and enhance team productivity.

### What are the key features to look for in log analysis tools?

Key features to look for in log analysis tools include real-time monitoring, advanced search capabilities, customizable dashboards, alerting and notification systems, and integration with other tools. Users frequently highlight the importance of user-friendly interfaces and robust data visualization options. Additionally, support for various log formats and compliance with security standards are critical for effective log management. Tools like Splunk, Loggly, and ELK Stack are noted for their strong performance in these areas, providing essential functionalities that enhance log analysis efficiency.