--- title: Elastic Observability Reviews meta_title: 'Elastic Observability Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 126 reviews by the users' company size, role or industry to find out how Elastic Observability works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 126 scale: '5' date_modified: '2026-09-30' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Elastic Observability Reviews **Vendor:** Elastic **Category:** [AIOps Tools](https://www.g2.com/categories/aiops-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 126 **AI Enabled:** This product embeds AI to enhance or extend its core functionality. ## About Elastic Observability 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. ## Elastic Observability Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users find Elastic Observability to be **intuitively easy to use** , facilitating effortless integration and quick setup for various needs. (7 reviews) - Users value the **real-time alerting** capabilities of Elastic Observability, enhancing proactive monitoring and issue resolution. (6 reviews) - Users value the **excellent log collection and monitoring capabilities** of Elastic Observability for efficient server management. (6 reviews) - Users appreciate the **excellent monitoring capabilities** of Elastic Observability for comprehensive insights into their applications and infrastructure. (6 reviews) - Users value the **flexibility and unified view** of Elastic Observability, enhancing troubleshooting and operational visibility. (5 reviews) - Metrics (5 reviews) - Users value the **comprehensive monitoring** capabilities of Elastic Observability, enhancing issue resolution and reducing downtime. (4 reviews) - Users value the **powerful monitoring tools** of Elastic Observability for enhancing application and infrastructure performance insights. (4 reviews) - Metrics Analysis (4 reviews) - Easy Integrations (3 reviews) **What users dislike:** - Users face a **steep learning curve** with Elastic Observability, requiring extensive knowledge and training for effective use. (5 reviews) - Users find the **difficult learning** curve for Elastic Observability challenging, particularly for teams unfamiliar with the Elastic Stack. (4 reviews) - Users struggle with the **lack of log integration** and find log generation with APM challenging without ELK knowledge. (4 reviews) - Users find the **learning difficulty** frustrating, particularly due to overwhelming logs and advanced feature navigation. (3 reviews) - Users struggle with **log management issues** , from hardware corruption to lack of integration with existing log files. (3 reviews) - Alert Issues (2 reviews) - Users find the **complex setup** for larger companies cumbersome, leading to challenges in cost management and optimization. (2 reviews) - Users find the **lack of log integration** in Elastic Observability limits access to comprehensive application information. (2 reviews) - Users find the **difficult setup** for Elastic Observability cumbersome, especially regarding cost management for larger companies. (2 reviews) - Filtering Issues (2 reviews) ## Elastic Observability Reviews ### 1. Powerful observability platform with a bit of a learning curve **Rating:** 4.0/5.0 stars **Reviewed by:** Divyank M. | Manager, Product Analytics & Innovation, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 25, 2026 **What do you like best about Elastic Observability?** What I like most is being able to bring logs, metrics, and application performance data together in one place. The dashboards and search capabilities make it much easier to investigate issues without having to jump between multiple monitoring tools. I also appreciate the flexibility to customize dashboards and alerts based on what the team actually needs. **What do you dislike about Elastic Observability?** The biggest downside for me is the learning curve. There are a lot of features and configuration options, so it takes some time to figure out where everything is and how to get the most out of the platform. Log filtering, along with some of the more advanced capabilities, could also be more intuitive and easier to navigate for first-time users. **What problems is Elastic Observability solving and how is that benefiting you?** The main problem it helps solve is having application, infrastructure, and log data scattered across different places, which can slow down troubleshooting. Elastic Observability brings logs, metrics, and traces together, so issues can be investigated from a single platform. I found this especially useful for adding context around performance problems and narrowing down potential root causes without needing to switch back and forth between multiple monitoring tools. ### 2. Elastic Observability’s Powerful Unified View for Faster Root-Cause Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Manoj M. | Fullstack developer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 25, 2026 **What do you like best about Elastic Observability?** Elastic Observability provides a single pane of glass for logs, metrics, and traces, making it easy to investigate issues, identify root causes, and monitor system health in real time. Its powerful search and visualization capabilities significantly improve operational efficiency. **What do you dislike about Elastic Observability?** The main drawbacks are the learning curve, complexity of configuration, and potentially high ingestion/storage costs at scale. Some troubleshooting and dashboard customization tasks can also require significant expertise. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps solve the challenge of monitoring distributed applications and infrastructure by bringing logs, metrics, traces, and APM data into a single platform. This allows us to quickly identify performance bottlenecks, investigate incidents, and determine root causes without switching between multiple tools. As a result, troubleshooting becomes faster, system reliability improves, and operational teams can proactively detect and resolve issues before they impact users. The centralized visibility and powerful search capabilities also help reduce mean time to resolution (MTTR) and improve overall operational efficiency. ### 3. Easy Observability & Monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Mohammed Ali A. | Software Engineer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 24, 2026 **What do you like best about Elastic Observability?** UI / UX The interface is clean and well organized. It is easy to navigate between logs, metrics, and other observability data, and the dashboards make it simple to get an overview of the current system status. Integrations I like the range of integrations available. It makes it easier to collect and centralize data from different applications and services in one platform. Performance Elastic Observability performs well when searching and analyzing large amounts of log data. Queries and filtering are generally fast, which is especially useful when troubleshooting production issues. Pricing / ROI The main value for me is having logs, metrics, and observability capabilities together in one platform. It can save time during troubleshooting and make it easier to identify and understand problems. Support / Onboarding The platform is relatively straightforward to get started with, especially if you already have some experience with monitoring and log management. The available documentation is also helpful when setting up or configuring different components. AI / Intelligence The search and analysis capabilities make it easier to identify relevant information from large amounts of data. The intelligence features can also help speed up troubleshooting and provide additional context when investigating issues. **What do you dislike about Elastic Observability?** One thing I dislike is that the platform can take some time to fully understand and configure, especially when working with more advanced features. With large amounts of data, finding the right information can sometimes require more complex queries and filtering. The overall platform is powerful, but some areas could be more intuitive for new users. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps us monitor applications and services and quickly investigate issues using logs, metrics, and other observability data in one place. It makes troubleshooting easier by helping us identify errors and understand what is happening across different services. This saves time when investigating incidents and gives us better visibility into the overall system. ### 4. Happy Customer **Rating:** 5.0/5.0 stars **Reviewed by:** Santosh D. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Unified Data and Search • Single pane of glass: Brings infrastructure, logs, and application performance monitoring (APM) together in one place. • Fast search speeds: Uses the power of Elasticsearch to analyze and query large volumes of log data quickly. • Clean UI and dashboards: Provides clear navigation and customizable visualizations through Kibana. Integrations and Open Standards • Broad ecosystem: Includes built-in integrations for major cloud providers such as AWS, Microsoft Azure, and Google Cloud. • OpenTelemetry support: Works natively with open-source tools and standards, without requiring heavy re-instrumentation. Automation and Insights • Machine learning: Dynamically detects anomalies to help reduce alert fatigue caused by static rules. • AI assistance: Helps streamline root-cause diagnosis and remediation by using context-aware tools. If you'd like, I can: • Compare Elastic Observability with other tools like New Relic or Datadog. • Break down its deployment and pricing models. • Share best practices for setting up OpenTelemetry. Let me know how you would like to proceed. Elastic — The Search AI Company Elastic Observability: Built for open standards and open technologies 28 Mar 2023 — Elastic Observability: Built for open technologies like Kubernetes, OpenTelemetry, Prometheus, Istio, and more * Kubernetes and OpenTelemetry are becoming the d... YouTube·Devoxx 1m Effective Observability: Best Practices with Elastic by Evelien Schellekens YouTube·Elastic 2m How to Troubleshoot Outages Faster Using Elastic Observability [2 Min Live ... G2 Elastic Observability Pros and Cons | User Likes & Dislikes Filter Reviews MA Mohammed Ali A. Software Engineer Enterprise (> 1000 emp.) 8/24/2026 Respond as Elasticsearch "Easy Observability & Monitoring" 4/5 What do yo... Elastic — The Search AI Company An observability solution for today's “always Elastic Observability: A solution for today's “always-on” world * As a single platform, Elastic helps SREs correlate limitless telemetry data, including metrics... YouTube·Elastic 4m Getting Started with Elastic Observability PeerSpot Elastic Observability reviews 2026 - PeerSpot Elastic Observability's most valuable features include pricing, unlimited licenses, performance tracking, flexible deployment, machine learning, and comprehensi... Gartner Elastic Observability Reviews & Ratings 2026 | Gartner Peer Insights Elastic Observability is a software designed to enable organizations to monitor and analyze distributed infrastructure and applications by integrating data from... hr.mcleanco.com Elastic Observability Customer Reviews 2026 - McLean & Company Elastic Observability is awesome because it's an all-in-one tool for keeping an eye on your system—logs, metrics, and app performance in one spot. **What do you dislike about Elastic Observability?** Cost and Resource Demands High Costs: Storage, cloud infrastructure, and advanced features such as security or alerting can become expensive quickly, especially at scale. Heavy Resource Requirements: Running Elasticsearch clusters typically requires substantial memory (RAM) and compute resources, which can add to the overall operational burden. **What problems is Elastic Observability solving and how is that benefiting you?** Problems Solved • Data Silos: Combines disparate monitoring tools and vertical data silos into a single search foundation, helping reduce signal fatigue. • Complex Cloud-Native Visibility: Handles complex microservices and Kubernetes environments by ingesting hyperscaler data and standardizing ingestion through OpenTelemetry. • Reactive Troubleshooting: Improves slow incident response with agentic AI, automated noise suppression, and machine learning-based anomaly detection. • High Storage Costs: Helps control expenses via resource-based consumption pricing, columnar storage, and flexible lifecycle tiering strategies. Key Benefits • Lower MTTR: Reduces mean time to resolution by 40% to 60% (and up to 95% time savings for SRE incident management) by enabling unified root-cause analysis. • Reduced Downtime: Cuts system downtime by up to 75%, helping protect customer-facing service level agreements and revenue. • Cost Efficiency: Lowers total cost of ownership (TCO) by reducing storage consumption up to 65% through optimized indexing and data compression modes. • Streamlined Operations: Brings together over 550 cloud and application integrations to support consistent governance, auditing, and more predictable observability spend. If you'd like, let me know: • Your primary environment (Kubernetes, AWS, multi-cloud, on-premise) • Your biggest pain point (log volume costs, slow incident response, or tool sprawl) I can provide a tailored strategy on how to implement Elastic for your specific setup. Elastic — The Search AI Company 4 benefits of observability | Elastic Blog Benefits: Kubernetes and microservices management (ingests hyperscaler data to track container lifecycles and communications); Third-party visibility (normalize... Elastic — The Search AI Company What is Observability? | A Comprehensive Observability Guide | Elastic Definition: Understanding a system's internal state via external outputs by collecting and analyzing telemetry data across complex cloud-native architectures. P... Forrester The Total Economic Impact™ Of Elastic Observability - Forrester With more than 550 integrations across clouds, CI/CD, databases, and native OpenTelemetry support, Elastic Observability can ingest high-volume telemetry from a... Elastic — The Search AI Company An observability solution for today's “always Elastic Observability: A solution for today's “always-on” world * As a single platform, Elastic helps SREs correlate limitless telemetry data, including metrics... Elastic — The Search AI Company Elastic Observability platform | Full-stack AI monitoring | Elastic Platform: Elastic Observability with full-stack AI monitoring and agentic investigations. Efficiency: LogsDB index mode reduces storage up to 75%, total storage... Elastic — The Search AI Company The challenges of monitoring Kubernetes for observability - Elastic Having the right context, in the right time and the right place, is key for being able to reduce the time to detect and resolve issues. The challenge is that th... Elastic — The Search AI Company OpenTelemetry: The key to modern enterprise observability | Elastic | Elastic Blog 30 Jan 2025 — Challenge: Fragmented observability tools create operational overhead, slower incident response, and tool silos. Solution: OpenTelemetry (OTel) standardizes dat... YouTube·Elastic 2m How to Troubleshoot Outages Faster Using Elastic Observability [2 Min Live ... YouTube·Elastic 4m Getting Started with Elastic Observability ### 5. Unlimited data ingestion **Rating:** 4.0/5.0 stars **Reviewed by:** Salman khan S. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** • Eliminating tool sprawl and data silos: Instead of switching between separate tools for logs, metrics, and traces, it consolidates all telemetry into a single platform. This benefits teams by creating a unified source of truth that accelerates root-cause analysis and fosters seamless collaboration between developers and operations. • Taming massive, fragmented data volumes: Modern microservice and cloud architectures generate overwhelming amounts of unstructured data that are difficult to search. Elastic solves this by indexing data efficiently, benefiting your business with sub-second search speeds across terabytes of data so you can pinpoint production bugs instantly. • Reducing alert fatigue and manual sorting: Traditional monitoring relies on static thresholds that trigger too many false alarms. Elastic solves this by using built-in machine learning to detect anomalies, benefiting engineers by surfacing only genuine issues and automating root-cause insights before outages impact users. **What do you dislike about Elastic Observability?** Steep learning curve: Setting up, configuring, and tuning Elastic Agent, fleet management, and complex index lifecycle policies (ILM) requires dedicated engineering time and platform knowledge. ​Cost scaling and unpredictable sizing: As ingestion spikes during traffic surges or major incidents, resource consumption and cloud storage/compute bills can climb very quickly if data tiers are not aggressively tuned. **What problems is Elastic Observability solving and how is that benefiting you?** Unified full-stack context: Having logs, metrics, APM traces, and profiling data in a single platform reduces context switching during production incidents and keeps investigations focused. Lucene search & ES|QL performance: The ability to quickly filter and aggregate billions of log events across distributed systems makes root-cause analysis much faster than it would be with traditional relational monitoring tools. Open telemetry support: Native compatibility with OpenTelemetry (OTel) helps avoid proprietary agent lock-in and makes instrumentation simpler across hybrid and multi-cloud environments. Flexible deployment: Being able to run self-managed on-premise, across multi-cloud clusters, or on Elastic Cloud provides strong control over data residency while also helping manage infrastructure costs. ### 6. It's best for observability **Rating:** 5.0/5.0 stars **Reviewed by:** Subhani S. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Elastic Observability provides a centralized platform for monitoring logs, metrics, uptime, infrastructure, and application environments. I particularly like the flexibility of Kibana dashboards, powerful search and visualization capabilities, alerting, and the ability to correlate data from different sources. It also integrates well with cloud and on-premises environments **What do you dislike about Elastic Observability?** The platform is very powerful, but the large number of configuration options can make it challenging for new users to get started. Some dashboards, visualizations, and advanced alerting configurations require a good understanding of Elasticsearch and Kibana. Troubleshooting integrations can also take time when there are configuration, permissions, or connectivity issues **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps us centralize monitoring data from applications, infrastructure, cloud services, and network devices in one platform. It makes troubleshooting easier by allowing us to correlate logs, metrics, alerts, and events. This helps reduce the time required to identify issues, improve operational visibility, and proactively detect potential problems before they impact services. ### 7. Flexibility on scale **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammed A. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** • Unlimited data ingestion: Elastic handles terabytes of logs, metrics, and traces daily across complex, multi-cloud, or hybrid architectures without hitting performance bottlenecks. • Granular tiering and storage: It lets you scale cost-effectively by automatically moving older data from fast, expensive hot storage to cheaper cold or frozen storage tiers while keeping it searchable. • Unified data schema: The Elastic Common Schema (ECS) standardises data formats across thousands of microservices, ensuring that search and correlation remain fast and accurate no matter how large your environment grows. • Tailored deployment models: You can scale seamlessly by using Elastic Cloud as a fully managed SaaS, hosting it in your own private cloud, or deploying it on-premises to meet strict compliance and data sovereignty rules. **What do you dislike about Elastic Observability?** Steep learning curve and high operational complexity. Unlike plug-and-play SaaS competitors that work out of the box, Elastic takes substantial manual effort, expertise, and time to set up properly. Configuring agents, designing dashboards, tuning alert thresholds, and managing data index lifecycles all require ongoing attention to avoid performance lag or unexpected storage costs. **What problems is Elastic Observability solving and how is that benefiting you?** • Eliminating tool sprawl and data silos: Instead of switching between separate tools for logs, metrics, and traces, it consolidates all telemetry into a single platform. This benefits teams by creating a unified source of truth that accelerates root-cause analysis and fosters seamless collaboration between developers and operations. • Taming massive, fragmented data volumes: Modern microservice and cloud architectures generate overwhelming amounts of unstructured data that are difficult to search. Elastic solves this by indexing data efficiently, benefiting your business with sub-second search speeds across terabytes of data so you can pinpoint production bugs instantly. • Reducing alert fatigue and manual sorting: Traditional monitoring relies on static thresholds that trigger too many false alarms. Elastic solves this by using built-in machine learning to detect anomalies, benefiting engineers by surfacing only genuine issues and automating root-cause insights before outages impact users. ### 8. Powerful and flexible observability platform for modern infrastructure **Rating:** 5.0/5.0 stars **Reviewed by:** Jeyaganapathy N. | CloudOps Engineer - Associate , Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Elastic Observability provides a centralized way to monitor logs, application metrics, performance, and infrastructure in one platform. Instead of using separate tools or software for monitoring, we can rely on a single-pane service where we can track all types of logs, metrics, and related data through Elastic Observability. I particularly like its powerful search features and visualization capabilities, which make it easier to troubleshoot issues and identify the root cause. **What do you dislike about Elastic Observability?** Elastic Observability is a powerful service, but with so many options it can feel overwhelming for a new user. There’s definitely a learning curve to understand how everything works, but the documentation helps a lot and makes it easier to follow. The initial setup and integration can take some additional effort, but once it’s in place, everything runs smoothly and feels well organized. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic observability help us centralized, analyze logs, infrastructure metrics and application metrics. It improves visibility system health and makes troubleshooting a lot easier as we get a single pane solution for monitoring all the types logs, application logs, metrics etc save a lot of time for searching for different tools. Creating useful alerts can help an organization proactively detect issues earlier also if anything feel overwhelming to new users there are documents available where it is well documented makes it easier to understand. ### 9. Good **Rating:** 4.5/5.0 stars **Reviewed by:** Rupesh B. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** What I like most about Elastic Observability is how it brings logs, metrics, traces, and application performance data together in one unified platform. This makes monitoring easier and helps teams investigate incidents without constantly switching between different tools. I particularly value the ability to correlate data across services, which can make identifying the root cause of performance issues much faster. Elastic’s powerful search and analytics capabilities are also useful for exploring large volumes of observability data and spotting unusual patterns. Another strong point is its support for OpenTelemetry, which provides flexibility in collecting and managing telemetry from different applications and environments. Overall, Elastic Observability provides a comprehensive view of application and infrastructure health, making troubleshooting more efficient while helping teams understand system performance and reliability more effectively. **What do you dislike about Elastic Observability?** The interface can feel complex at first, and configuring dashboards, alerts, and integrations may require a learning curve for new users. Also need some featured **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps us solve issues around monitoring, troubleshooting, and identifying the root cause of application and infrastructure problems. It gives us a centralized view of logs, metrics, and traces, which reduces investigation time and improves visibility. This helps us detect issues faster, resolve incidents more efficiently, and improve overall system reliability. ### 10. A practical observability platform for modern applications and infrastructure **Rating:** 4.5/5.0 stars **Reviewed by:** Vimal V. | Technical Lead / Solution Architect, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Elastic Observability provides a unified platform for logs, metrics, application performance monitoring, and infrastructure visibility. We particularly like its ability to correlate telemetry across applications and infrastructure, which makes troubleshooting and root-cause analysis easier. The dashboards, alerting capabilities, centralized log management, and integrations also provide good flexibility for monitoring diverse environments **What do you dislike about Elastic Observability?** The platform provides extensive capabilities, but the initial configuration and onboarding can require some learning, particularly for teams that are new to the Elastic ecosystem. With larger environments, designing the right data ingestion, retention, indexing, and dashboard strategy also requires careful planning to maintain performance and control operational costs **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability provides centralized visibility across applications, infrastructure, and logs, reducing the need to investigate issues across multiple monitoring tools. It helps teams identify application and infrastructure issues faster through correlated logs, metrics, and traces. This improves troubleshooting and root-cause analysis, provides better operational visibility, and supports proactive monitoring through dashboards and alerts. ### 11. One of the best observability tool **Rating:** 3.5/5.0 stars **Reviewed by:** Chinmay R. | Mid-Market (51-1000 emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** I really enjoyed attending the Elastic event in Mumbai. The sessions were insightful and well organized, and they covered some genuinely interesting topics around observability, search, security, and AI. Overall, the event experience was excellent, with good networking opportunities, knowledgeable speakers, and an energetic atmosphere throughout. The early-bird welcome gift was a nice touch too! 😄 I’m looking forward to attending more Elastic events in the future. Great job by the entire team! 👏 **What do you dislike about Elastic Observability?** Overall, the event was good, but a few sessions felt a bit too high-level for what I was hoping for. I would have appreciated more hands-on demos, more real-world use cases, and deeper technical discussions to make the content feel more practical. The networking and booth experience were fine, but they also could have been more engaging and interactive. **What problems is Elastic Observability solving and how is that benefiting you?** One issue I noticed was that some sessions felt more like product overviews than truly deep technical discussions. There also wasn’t much time set aside for hands-on demos or for walking through practical implementation details. In addition, the booth area could have done more to engage the crowd, with stronger interaction and more activities that encouraged participation. ### 12. Best Security and Observability Product **Rating:** 5.0/5.0 stars **Reviewed by:** Nikhil B. | Senior Elastic Enterprise Security Administrator , Information Technology and Services, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Search-first core: logs, metrics, and traces live in one Elasticsearch store. You can query anything, at any scale, without knowing in advance what you're looking for. Add ES|QL, native OpenTelemetry support, and cheap long-term retention via tiered storage, and you get deep, flexible investigation on your own terms, whether SaaS or self-hosted. **What do you dislike about Elastic Observability?** Self-managed clusters take real effort to tune, scale, and upgrade, and the learning curve (mappings, index lifecycle policies, query languages) is steep for new team members. Out-of-the-box dashboards and the APM interface feel less polished than competitors', and costs can climb quickly at high ingest volumes without careful tuning. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability consolidates logs, metrics, and traces into one searchable platform, eliminating tool sprawl and blind spots across our distributed systems. We now pinpoint root causes in minutes instead of hours, catch anomalies before users notice, and keep long-term data affordably, all with fewer tools to manage. ### 13. Streamlined Debugging, But Interface Needs Simplification **Rating:** 4.5/5.0 stars **Reviewed by:** Subramanya S. | Quality Assurance Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 26, 2026 **What do you like best about Elastic Observability?** I use Elastic Observability to monitor application performance, analyze logs, and troubleshoot issues across different environments. It helps me identify errors, investigate failures, and track system behavior. I especially like that it makes debugging faster and helps provide clear technical evidence when reporting bugs. The filtering and search capabilities are very useful for narrowing down specific errors or events. I also find the dashboard and visualization tools useful for understanding trends and spotting unusual behavior. Overall, Elastic Observability makes troubleshooting more structured and reduces the time I spend on it. **What do you dislike about Elastic Observability?** I find the interface overwhelming for new users because there are many options and features. I also believe the interface should be more user-friendly by simplifying navigation. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability to monitor performance, analyze logs, troubleshoot issues, and validate errors. It reduces investigation time, helps identify failures, and clarifies if the problem lies in frontend, backend, API, or services. The dashboard and visualization make troubleshooting structured and faster. ### 14. Unified Observability That Speeds Troubleshooting Across EKS, Docker Swarm, and AWS **Rating:** 4.0/5.0 stars **Reviewed by:** Vishal P. | Associate DevOps Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 25, 2026 **Describe the project or task Elastic Observability helped with:** Elastic Observability offers a comprehensive solution for monitoring and troubleshooting across diverse cloud environments, including EKS, Docker Swarm, and AWS. By providing a unified interface that correlates logs, metrics, and APM traces, it simplifies the process of identifying and resolving issues, thereby reducing the mean time to resolution. The platform's powerful search capabilities and intuitive visualizations enhance the user experience, making it easier to manage complex CI/CD pipelines and microservice architectures. However, users must be mindful of resource consumption and storage costs, which can escalate as data volumes grow. Overall, Elastic Observability is a valuable tool for infrastructure teams seeking to improve system reliability and efficiency. **What do you like best about Elastic Observability?** As a cloud infrastructure engineer managing diverse environments across EKS, Docker Swarm, and AWS, Elastic Observability provides a unified pane of glass that is invaluable. What I like best is how seamlessly it correlates logs, metrics, and APM traces across the entire stack. Instead of jumping between different monitoring tools for Kubernetes clusters and varied deployments, Elastic brings it all into one highly queryable interface. The powerful search capabilities and intuitive visualizations make troubleshooting complex CI/CD pipeline bottlenecks or microservice latency issues significantly faster, drastically reducing the mean time to resolution. While the platform delivers immense value by drastically reducing our mean time to resolution across diverse Kubernetes and AWS environments, the total cost of ownership requires active management. The unified visibility and correlation capabilities are definitely worth the investment for an infrastructure team, as they save countless engineering hours each week. However, as log volumes and metric cardinality grow, the associated costs—whether that means compute and storage for self-managed clusters or the pricing tiers for the managed cloud offering—can escalate quickly. To truly get your money's worth, you have to be highly disciplined about data retention policies, cold storage routing, and index lifecycle management. If you maintain strict data governance, the return on investment is excellent, but without it, the storage costs can easily start to outpace the value. **What do you dislike about Elastic Observability?** While Elastic Observability is incredibly powerful, the learning curve can be steep, particularly when it comes to mastering its query language for complex log analysis. As a generalist infrastructure engineer managing diverse environments across Kubernetes (EKS), Docker Swarm, and AWS, I find the initial manual setup and dashboard customization to be quite time-consuming. It lacks enough out-of-the-box, pre-built dashboards that could immediately simplify insights for cloud-native deployments. Additionally, at scale, resource consumption—specifically system memory and disk I/O—can become demanding, and managing index lifecycles requires constant attention to avoid unexpected storage costs and performance bottlenecks. Incorporating more automated configuration assistants and expanding the repository of plug-and-play templates for containerized microservices would significantly reduce the initial onboarding friction and ongoing maintenance toil. **Recommendations to others considering Elastic Observability:** To enhance the user experience and streamline operations, Elastic Observability could benefit from the following improvements: 1. **Enhanced Query Language Documentation**: Providing more comprehensive guides and examples for mastering the query language would help users overcome the steep learning curve. 2. **Pre-built Dashboards**: Offering a wider range of out-of-the-box dashboards tailored for specific cloud-native environments could simplify initial setup and provide immediate insights. 3. **Automated Configuration Assistants**: Introducing more automated tools to assist with initial setup and ongoing maintenance could reduce the time and effort required from users. 4. **Resource Optimization Features**: Implementing features that help manage resource consumption, such as memory and disk I/O, would be beneficial, especially at scale. 5. **Index Lifecycle Management Tools**: Providing more intuitive tools for managing index lifecycles could help prevent unexpected storage costs and performance issues. **What problems is Elastic Observability solving and how is that benefiting you?** Managing disparate environments across AWS, Kubernetes clusters, and containerized workloads previously created fragmented monitoring silos, making end-to-end root cause analysis slow and cumbersome. Elastic Observability solves this by centralizing distributed logs, metrics, and APM traces into a single, unified pipeline. Having full-stack visibility in one place has drastically cut down our mean time to detection (MTTD) and resolution (MTTR) during production incidents. Correlating deployment changes directly with latency spikes and microservice bottlenecks across our CI/CD pipelines has eliminated guesswork, saving valuable engineering hours each week and ensuring higher system reliability and uptime. ### 15. Strong Log, Trace, and Metric Visibility That Turns Data Into Insights **Rating:** 4.5/5.0 stars **Reviewed by:** shree b. | Data Analyst, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Elastic Observability?** I like Elastic Observability because it provides strong log, trace, and metric visibility. It makes operational data easier to understand and interpret, and it helps turn that data into useful insights. **What do you dislike about Elastic Observability?** One thing I find challenging about Elastic Observability is the learning curve, especially for people who are new to Elasticsearch, Kibana, and query languages like KQL or ES|QL. On top of that, there are many configuration and customization options, which can make the platform feel a bit overwhelming and complex at first. **What problems is Elastic Observability solving and how is that benefiting you?** For me, the biggest benefit is faster troubleshooting and root-cause analysis. Rather than checking a metric in one system and then switching to another to dig into logs or traces, I can follow the issue across the different signals in one flow. This reduces the time it takes to identify and resolve incidents, and it also gives me clearer visibility into what’s happening in the environment. ### 16. It was an amazing experience overall. **Rating:** 5.0/5.0 stars **Reviewed by:** Ratnesh P. | Freelance Developer & Technical Consultant, Information Technology and Services, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 30, 2026 **What do you like best about Elastic Observability?** What I like best about Elastic Observability is that it was really amazing and unique in usage. I love how it brings logs, metrics, traces and APM into a single intuitive UI, the search speed is incredible, and the out-of-the-box dashboards make root cause analysis very easy and efficient. **What do you dislike about Elastic Observability?** Honestly, there's nothing I dislike about Elastic Observability - it's really amazing. The unified view of logs, metrics, and traces, the ease of use, and the powerful ML features make troubleshooting so much faster. Great product! **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability is really helping me with real time solutions. It solves the problem of scattered monitoring tools by giving full stack visibility in one place, which helps me detect issues instantly, reduce MTTR, and proactively improve application performance and user experience. ### 17. Unified Visibility and Proactive Monitoring with Elastic Observability **Rating:** 4.5/5.0 stars **Reviewed by:** Sandeep B. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** What I like most about Elastic Observability is the unified visibility it provides across logs, metrics, traces, and application performance—all within a single platform. Its powerful search and analytics features, along with AI-driven capabilities, make it easier to spot issues quickly and support better overall operational efficiency. **What do you dislike about Elastic Observability?** The main areas I’d improve are the learning curve and the complexity of advanced configuration. I’d also like to see simpler cost management and dashboards that feel more intuitive and easier to navigate. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability gives us a unified view across our applications and infrastructure, bringing together logs, metrics, and traces in one place. It helps us spot issues faster, pinpoint root causes more easily, reduce MTTR, and ultimately improve service reliability and the overall user experience. ### 18. Secure Log Access Control With Easy Team and Role Management **Rating:** 4.5/5.0 stars **Reviewed by:** Aleksa K. | DevOps Engineer, Banking, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 25, 2026 **What do you like best about Elastic Observability?** We used it mostly for logs, and its easy to manage teams and roles so user dont get permission to see logs that they should not see, which is very important in banking system **What do you dislike about Elastic Observability?** Updates are coming very fast, you have to keep up with them and watch expetionaly for major updates. Sometimes there are some metadata that take storage and are not easy to deal with **What problems is Elastic Observability solving and how is that benefiting you?** Elastic solves problem of having easy access to logs so you can much easier find problems. Its a place for most of statistics with logs, metrics, datastreams etc ### 19. Modern engineering stacks. **Rating:** 5.0/5.0 stars **Reviewed by:** Pravin H. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** • Blazing Fast Analytics: Leverages the core power of Elasticsearch to query petabytes of log data and trace streams in real time. • True Single Pane of Glass: Highly rated for its comprehensive APM maps, out-of-the-box Kubernetes/cloud integrations, and AI-driven root cause analysis assistants. • OpenTelemetry Native: Seamlessly adopts open standards, minimizing vendor lock-in for modern engineering stacks. **What do you dislike about Elastic Observability?** Complex Configuration: Can have a steep learning curve; complex deployments—like managing standalone Elastic Agents, shards, and JVM configurations—often require manual tuning. **What problems is Elastic Observability solving and how is that benefiting you?** Instead of guessing where the error is, it correlates the data instantly—often using AI—to pinpoint the exact line of code, broken cloud container, or database query causing the issue in real time. ### 20. Unified Logs, Metrics, and Traces Make Investigation Seamless **Rating:** 4.0/5.0 stars **Reviewed by:** Prayush B. | Enterprise (> 1000 emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** What I like most about Elastic Observability is how it connects investigation across logs, metrics, and traces. For me, the strongest appeal is being able to follow an incident from a symptom to the underlying evidence in one place. **What do you dislike about Elastic Observability?** The part I’d find least helpful is the setup and tuning effort. Connecting logs, metrics, and traces only pays off when the data is consistently labelled and the dashboards and alerts are well configured. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps solve the problem of scattered logs, metrics, and application traces, which can make issues difficult to diagnose. Bringing them together helps our team spot performance problems, investigate failures, and find root causes faster. ### 21. Instant Indexing and Smart Search That Delivers Fast Insights **Rating:** 4.0/5.0 stars **Reviewed by:** Lakhan K. | Data Scientist, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Elastic Observability?** Smart search feature that lets me search a huge set of data instantly, since indexing happens immediately upon ingestion. With other data lakes, indexing typically takes much longer to complete, so searches aren’t available as quickly. **What do you dislike about Elastic Observability?** One thing I dislike about Elastic Observability is the learning curve. You need to get comfortable with tools like the Elastic Query DSL, Kibana Lens, and the QL language, and that takes time. Because of this, team adoption can be slower than expected. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability lets us query huge amounts of data in seconds. We use fraud detection models that require features drawn from a very large dataset of messages and call transcripts, and with Elastic Observability, feature engineering becomes much easier and more straightforward. ### 22. Service Delivery Lead **Rating:** 5.0/5.0 stars **Reviewed by:** Mukesh Y. | Head IT, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Log storage Kibana Anomaly detection Like that I have both security and observability on one platform Really like the professional services team who is engaging with us **What do you dislike about Elastic Observability?** Dashboards need effort sometimes, while solid product, you need to build expertise on the product. Certifications are important but they are paid, I have gone through the free learning but paid is helpful **What problems is Elastic Observability solving and how is that benefiting you?** Need to store and manage logs better Using search capability for doing semantic search Using data tiering for keeping the costs down Using anomaly detection to find anomaly in my data set Makes my engineers' job easy ### 23. Centralized Monitoring with Flexible Dashboards **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 25, 2026 **What do you like best about Elastic Observability?** I appreciate the ability to quickly search through large volumes of logs and metrics and correlate information from different systems, which makes troubleshooting much easier. The flexibility of Kibana dashboards is another aspect I really like, as we can build customized views for different teams and use cases. The initial setup was relatively easy, particularly for the basic integrations. Elastic agent and the available integrations made it straightforward to start collecting logs and metrics. **What do you dislike about Elastic Observability?** Cost management can be challenging, especially with the large volumes of logs and metrics that we collect. It would be helpful to have more built-in tools to identify unnecessary data ingestion and control retention and storage costs. Having clearer recommendations showing which data sources or log types are causing the most ingestion and storage costs would be beneficial for identifying low-value data before it reaches Elasticsearch. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability to centralize logs and metrics, simplifying incident troubleshooting and providing operational visibility across infrastructure. It allows me to search and correlate data in one place, making it easier to understand what is happening system-wide. ### 24. Platform Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Aniket M. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** It offers broad compatibility with many programming languages. It’s easy to understand and user-friendly, especially for beginners. Overall, it feels versatile and well-suited to a wide range of use cases. **What do you dislike about Elastic Observability?** Application-level changes are needed for log collection from APM and observability. In some cases, the application or certain entities do not allow the application team or the third-party vendor to make the required code changes. **What problems is Elastic Observability solving and how is that benefiting you?** The Elastic support team is quite good at helping with issues and providing timely support. The only drawback is that they need more diagnostic tools for observability-related issues. ### 25. Elastic Observability: A Cohesive One-Stop Platform with Fast, AI-Ready Retrieval **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 17, 2026 **What do you like best about Elastic Observability?** Elastic Observability could provide one stop solution for enterprise observability and security platform. Being a platform engineer, coherence in the platform tools is imporant, from quickly understaning the tools from their opensource availability to enterprise feature, elastic observability stands out. I have used Kibana, and Log search, and I can confidently say, with AI agents prolifirating day by day, the comprehensive solutions, and faster retreival (Agentic Retreival) is going to be a thing. **What do you dislike about Elastic Observability?** I still see there is a gap of having a Tracebility where OTEL Logs can be collected, may be I am not yet aware of it, but that is something I see as a gap. Elastic could really be a complete solution if that is added as one other primary feature. **What problems is Elastic Observability solving and how is that benefiting you?** I think log search and analytics is the primary benefit that is providing our organization. It is well known among deveopers and is providing meaningful out of the box as well automations to us. ### 26. Easy-to-Use Unified Platform for Logs, Metrics, and Dashboards at Scale **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 26, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Elastic Observability?** Unified platform to track logs, metrics, events, and data in one place, easy to configure, easy to use, and to create dashboards, we just need to have data in elastic. Great in performance in terms of scale, as we have tested this in large scale SAAS product. **What do you dislike about Elastic Observability?** New ecosystem, so a new learning curve is needed, as configuration can be complex for teams without expertise in the Elastic ecosystem. For complex dashboarding also a learning curve **What problems is Elastic Observability solving and how is that benefiting you?** We are tracking logs, events, and metrics to improve our product and track the funnel, churn rate, performance of the product, and also track alerts in case of any deviations ### 27. Good **Rating:** 4.0/5.0 stars **Reviewed by:** Faruk A. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from English using AI. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** GoodQe are using lot of things abs very much excited to participate in labs to know agwntic ai and other tools to enhance oirbakillset for future role in the company **What do you dislike about Elastic Observability?** GoodQe are using lot of things abs very much excited to participate in labs to know agwntic ai and other tools to enhance oirbakillset for future role in the company **What problems is Elastic Observability solving and how is that benefiting you?** Qe are using lot of things abs very much excited to participate in labs to know agwntic ai and other tools to enhance oirbakillset for future role in the company ### 28. Great product **Rating:** 3.5/5.0 stars **Reviewed by:** Prakash k. | Senior Manager, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Give complete insights hence its make very easy to diagnose and easier to identify the problem in advance also helps in finding root cause.. freat way to safeguard **What do you dislike about Elastic Observability?** The way interface can be made more user friendly and help user to land on the correct widget so more work on graphics user interface and also loading time **What problems is Elastic Observability solving and how is that benefiting you?** Give complete insights hence its make very easy to diagnose and easier to identify the problem in advance also helps in finding root cause.. freat way to safeguard ### 29. Short review of Elastic Observability **Rating:** 4.0/5.0 stars **Reviewed by:** Sourav S. | Manager- Data Engineering, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 30, 2026 **What do you like best about Elastic Observability?** I like the suite of tools and data points provided by Elastic Observability in terms of checking logs and observing and tracking metrics for your data across the board **What do you dislike about Elastic Observability?** Kind of unwieldy in terms of setup and management of the platform for larger corporations and institutes for AI and ML setups and data architectures etc. **What problems is Elastic Observability solving and how is that benefiting you?** It is helping me with observing my uptime and downtime for data across AI and Data platforms, tracking logs for cloud infra and various etl platforms in AWS ### 30. Easy to use and useful for monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** murugan n. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** I like that it makes it easy to monitor applications, logs, and system performance in one place. The dashboards are helpful and make troubleshooting issues much easier. **What do you dislike about Elastic Observability?** The main downside is that it can take some time to understand and set up properly. Some features and configurations can feel a little complex for new users. **What problems is Elastic Observability solving and how is that benefiting you?** It helps us monitor applications, logs, and system performance in one place. It makes it easier to identify issues, troubleshoot faster, and keep track of overall system health. ### 31. Great Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Narendra G. | Offering Manager , Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** It gives the details of how a transaction can be traced to the last possible point of failures and also find how we can resolve the error and have near about perfect resolution **What do you dislike about Elastic Observability?** The least helpful is how to ensure the error related to bringing in one panel whenever there are multiple issues and trace to multiple original factors; this gives better enhancement **What problems is Elastic Observability solving and how is that benefiting you?** Transaction, log, application, infrastructure IT and daily synergy problem related to process and ensure transparency in resolution of multiple errors ### 32. Review ing **Rating:** 4.5/5.0 stars **Reviewed by:** Sudin D. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 30, 2026 **What do you like best about Elastic Observability?** Great to use user friendly helping in different environment to use it adequately and efficiently helping the vendors and customer to use hand in hand. **What do you dislike about Elastic Observability?** Didn't find anything to be disliked as it complete product which can deployment and then use it for complete solution for customer and vendors to work **What problems is Elastic Observability solving and how is that benefiting you?** Quick problem solving help user to focus on quick resolution and great ROI of the time and fund investment helping to get great output after deployment ### 33. Insightful, But Needs Improved Customization **Rating:** 4.0/5.0 stars **Reviewed by:** Sam . | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 22, 2026 **What do you like best about Elastic Observability?** I appreciate Elastic Observability for making everything visible with a single dashboard and its ability to monitor my environments effectively. The timeline feature is handy for determining if a problem is connected to a single server or more, which saves time compared to searching on the server itself. What stands out most for me is the AI-powered insights, along with the LLM and Generative AI integrations that enhance its capabilities. I also value the LLM observability, automated pattern detection, and dashboard automation. Plus, the initial setup was very easy and done really fast with just a few individuals. **What do you dislike about Elastic Observability?** Dashboard and customization challenges for first-time users. The entire first-time manual setup is pretty time-consuming, also searching through every possible query. If that could be done with an assistant it would save a lot of time. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability to track issues across servers, helping me identify if they're localized or widespread with ease using dashboards and timelines. ### 34. Observability **Rating:** 4.5/5.0 stars **Reviewed by:** judo jerome joseph l. | Architect, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 29, 2026 **What do you like best about Elastic Observability?** Its unified visibility across logs, metrics, traces, and security, with powerful analytics and AI-driven insights for faster troubleshooting from beginners to experts **What do you dislike about Elastic Observability?** The learning curve can be steep, and some advanced configurations require deeper technical expertise and better documentation and more often releases and bugs are identified **What problems is Elastic Observability solving and how is that benefiting you?** It brings logs, metrics, traces, and infrastructure data into one platform, helping us troubleshoot faster, improve visibility, and reduce operational effort. ### 35. OpenTelemetry-First Observability Without Vendor Lock-In **Rating:** 5.0/5.0 stars **Reviewed by:** Ayush J. | Analyst, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 25, 2026 **What do you like best about Elastic Observability?** It leans heavily into OpenTelemetry standards. You can ingest telemetry from any source using open formats without getting trapped in proprietary agent vendor lock-in. **What do you dislike about Elastic Observability?** Scaling clusters demands heavy memory, CPU, and storage resources, making it expensive for smaller teams. Advanced enterprise features and commercial capabilities require paid subscriptions that can become costly at scale. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability solves fractured monitoring, data silos, and slow outage troubleshooting by unifying logs, metrics, traces, and synthetics into a single platform ### 36. Unified Observability Makes Distributed Debugging Fast and Straightforward **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 26, 2026 **What do you like best about Elastic Observability?** The unified visibility across logs, metrics, and APM traces makes diagnosing distributed system issues fast and straightforward. Having powerful search capabilities and real-time dashboarding in a single interface saves significant debugging time **What do you dislike about Elastic Observability?** The initial setup and index lifecycle management can have a steep learning curve, especially for smaller teams. Additionally, resource consumption can scale up quickly if log retention policies aren't carefully tuned. **What problems is Elastic Observability solving and how is that benefiting you?** It eliminates fragmented monitoring by centralizing logs, infrastructure metrics, and distributed traces into a single platform. This significantly reduces our mean time to resolution (MTTR) during incidents and gives our team clear visibility into system performance bottlenecks ### 37. APM is a Game-Changer for GKE Infrastructure **Rating:** 5.0/5.0 stars **Reviewed by:** Ever M. | Manager & Founder, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 14, 2026 **What do you like best about Elastic Observability?** I used Elastic Observability to track my GKE infrastructure and everything ran smoothly. I appreciate the APM feature the most because it allows me to see the interaction between the more than 80 pods I have on my GKE. Before using this, tracking logs was a nightmare, but APM makes it easy to see how data travels between pods. This helps me identify which ones need attention. Initial setup was really easy, and overall, I'm very satisfied with its performance. **What do you dislike about Elastic Observability?** Maybe there could be more pre-built dashboards to simplify GKE insights. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability makes tracking my GKE infrastructure smooth. APM helps me see interactions between my 80+ pods, turning a nightmare of log tracking into identifying which pods need attention. ### 38. Speedy Bug Resolution, User-Friendly Experience **Rating:** 4.5/5.0 stars **Reviewed by:** smithila d. | Small-Business (50 or fewer emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 09, 2026 **What do you like best about Elastic Observability?** I like the ease of use of Elastic Observability. It's really easy to set up, which is great. I also appreciate the speed at which it helps identify bugs, making it easier to debug any production issues and fix them. **What do you dislike about Elastic Observability?** I dislike the UI. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability for log monitoring and debugging production issues, making it easier to fix them quickly. ### 39. Easy to Start, Tech-Agnostic, and Packed with AI—Elastic Delivers Daily **Rating:** 5.0/5.0 stars **Reviewed by:** Diego C. | Solutions Architect, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** February 10, 2026 **What do you like best about Elastic Observability?** It’s quite easy to get started with. The fact that Elastic is technology-agnostic makes it straightforward to learn and to integrate with other technologies. For example, I initially began using it through Google’s Cloud Marketplace, but at one point I hesitated because Google Cloud already has a product called Cloud Monitoring. Still, I decided to give Elastic a chance and try it, and honestly, it’s a terrific product. There’s a lot of AI-related functionality, and the fact that it has an MCP server I can use makes it really easy to implement and work with. I now use it daily as part of my job operations. Regarding support, I have an MSP contract with a company, so I get first-hand support from them, and only the toughest cases are escalated to Elastic. To be completely transparent, once a case reaches Elastic, the process is quite easy and the response is fast. **What do you dislike about Elastic Observability?** It’s really hard to have a productive conversation with my manager and other decision-makers about why Elastic is a good choice. For example, most of my company relies on New Relic for observability, so it’s difficult to clearly show the benefits of switching or adding Elastic. Other products have stronger “sales” sites and materials that I can use to compare and contrast, but Elastic isn’t very good at selling the product in a way that helps internally. It’s an amazing product, yet I don’t have an effective way to present its value and benefits to C-level stakeholders. **What problems is Elastic Observability solving and how is that benefiting you?** My company is adopting an SRE culture, and Elastic has been easy to implement. It’s also straightforward to create metrics based on our needs. Most tools rely on predefined metrics, whereas in Elastic it’s really easy to create more complex metrics that we can use to assess whether a service is up or down, and whether it’s working or not working. ### 40. Centralized Log Access with Powerful Monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Alexander F. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** February 11, 2026 **What do you like best about Elastic Observability?** I find Elastic Observability really helpful for collecting and viewing logs from all of our on-prem servers. The ability to view all logs in one place and monitor server metrics is great. I particularly like being able to view current running processes with Elastic Agent, as it helps a lot when debugging servers and identifying processes that cause CPU usage spikes. The initial setup was very easy and pretty straightforward, which I appreciate. Overall, these features make Elastic Observability a valuable tool for my needs. **What do you dislike about Elastic Observability?** It could be overwhelming to view all the logs without any proper filtering for a first time user. Also, there's a bit of a learning curve to know where everything is. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability to collect and view logs from all our servers in one place and monitor their metrics. ### 41. Real-Time Insights, Easy Cloud Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Rembuluwani N. | Senior Devops engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 12, 2026 **What do you like best about Elastic Observability?** I really like Elastic Observability's ability to provide real-time logs on the fly. It also gives operators a clear view of the system, making it easier to see spikes and act before they happen, which is great for our online gambling operations. It's powerful to know what's happening on both the system and operator side. **What do you dislike about Elastic Observability?** I find it challenging when hardware becomes corrupt and we don't have a view on that. It would be helpful to have a process that alerts us, so we don't lose logs before it happens. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability for real-time logs in online betting, providing operators a view and alerting us to spikes so we can act beforehand. It gives us the ability to know what's happening in the system operator side. ### 42. Intuitive, Customizable Dashboards with Strong Out-of-the-Box Correlations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 12, 2026 **What do you like best about Elastic Observability?** Strong out-of-the-box features and dashboards, plus automatic correlations. There’s also a lot of customization available with plenty of options, and the user interface feels intuitive and easy to navigate. **What do you dislike about Elastic Observability?** Anomaly detection and categorization can be hard to manage, especially when there’s a high number of unique entities. I also feel it’s missing more built-in dashboards and templates tailored to specific adapters or data sources. **What problems is Elastic Observability solving and how is that benefiting you?** Our use cases include log storage, APM, anomaly detection, and metrics. The main benefit for us is having all of this data in one place, with powerful visualization options across different application layers, which makes it easier to explore and connect what’s happening end to end. ### 43. All-in-One Monitoring Hub for Metrics, Availability, Synthetics & Alerting **Rating:** 4.5/5.0 stars **Reviewed by:** Vikas Kumar C. | Data Engineer, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 12, 2026 **What do you like best about Elastic Observability?** Creating a holistic monitoring experience where metrics, availability, synthetics, alerting available at one place. **What do you dislike about Elastic Observability?** Some integrations can be easier like for syntetics we have to go through whole node setup and much more **What problems is Elastic Observability solving and how is that benefiting you?** We have more than 500 servers to monitor, where we have to keep track of availability and alerting in case of issues. it makes our life really easy ### 44. Unified Full-Stack Monitoring on Elasticsearch for Faster Troubleshooting **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 14, 2026 **What do you like best about Elastic Observability?** A full‑stack monitoring and troubleshooting solution that brings together logs, metrics, traces, uptime, and user‑experience data on top of Elasticsearch, helping SRE, DevOps, and security teams detect issues sooner and resolve them faster. **What do you dislike about Elastic Observability?** Pricing, complexity, and a steep learning curve. **What problems is Elastic Observability solving and how is that benefiting you?** Unified troubleshooting: Correlates a user-request trace with related logs and host/container metrics, making it easier to pinpoint slow or failing microservices quickly. Cloud/infrastructure monitoring: Monitors servers, VMs, containers, Kubernetes, and serverless runtimes for resource utilization, saturation, and failures, helping surface issues before they escalate. ### 45. Flexible, Unified Observability Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Rafael S. | Tech Lead – Observabilidade, Performance, Security e Sandbox, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** February 10, 2026 **What do you like best about Elastic Observability?** Elastic Observability stands out for its flexibility and unified view of logs, metrics, and traces, enabling faster troubleshooting and better operational visibility. **What do you dislike about Elastic Observability?** Some advanced features require a learning curve, especially for teams new to the Elastic Stack. **What problems is Elastic Observability solving and how is that benefiting you?** Elastic Observability helps us quickly detect incidents, correlate signals across systems, and reduce MTTR, improving service reliability and operational efficiency. ### 46. Excellent Monitoring Solution for Work Fusion Components **Rating:** 4.5/5.0 stars **Reviewed by:** Sai Srinivas L. | Associate Engineer, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** November 25, 2025 **What do you like best about Elastic Observability?** I like most about Elastic Observability for monitoring the status of the different components in Work fusion **What do you dislike about Elastic Observability?** I didn't noticed any drawbacks or dislikes about Elastic Observability **What problems is Elastic Observability solving and how is that benefiting you?** We can see the status is the components whether they are in up or down state ### 47. excellent product for monitoring and visibility **Rating:** 4.0/5.0 stars **Reviewed by:** Naushad A. | SDE II, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 04, 2023 **What do you like best about Elastic Observability?** Real time Monitoring. Detailed insights, logs, and metrics, making it easier to pinpoint and resolve issues, reducing downtime. Centralize data from various sources, such as logs, metrics, and traces, into a single platform, making it easier to correlate information. Historical data to identify trends, plan capacity, and make data-driven decisions for optimization and cost-efficiency. Easy to integrate. **What do you dislike about Elastic Observability?** Teams need training to maximize the benefits of observability tools, and finding individuals with expertise in these tools are challenging. **What problems is Elastic Observability solving and how is that benefiting you?** Issue Detection and Resolution: It helps in quickly identifying and resolving issues within your applications and infrastructure. This proactive approach minimizes downtime and improves user experience. Root Cause Analysis: It provides detailed insights into system performance, making it easier to pinpoint the root causes of problems. This speeds up troubleshooting and reduces mean time to resolution (MTTR). Data Centralization: Elastic Observability centralizes data from various sources (logs, metrics, traces) into a single platform, facilitating correlation and providing a holistic view of your systems. Historical Analysis: Historical data analysis enables trend identification, capacity planning, and data-driven decision-making, leading to optimized system performance and resource utilization. ### 48. Elastic observability enigma - A profound analysis of pervasive real time monitoring and analytics. **Rating:** 4.0/5.0 stars **Reviewed by:** Jyothi Swaroop L. | Associate Developer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 12, 2023 **What do you like best about Elastic Observability?** I like one of the best features of the elastic observability is the elastic search, which I really enjoyed. This facilitates a rapid search for the necessary logs and provides a wide range of filter options for querying to extract the necessary data from the logs. **What do you dislike about Elastic Observability?** Occasionally, findings may not be entirely correct during the fetching process, and there may be extreme delays. And because there is so much integrated and it is not very user-friendly, I find the experience to be a little challenging. **What problems is Elastic Observability solving and how is that benefiting you?** By enabling search criteria and allowing us to view the logs in real time, it makes it easier to find the specific logs we're looking for and helps us avoid hunting for logs on the server in the conventional manner. ### 49. Leading observability tool, anyone should install and try it once **Rating:** 4.5/5.0 stars **Reviewed by:** Şenol . | Founder, Information Technology and Services, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 12, 2023 **What do you like best about Elastic Observability?** there are so many features, unfortunately it is overkill. You need to tune your solution for your own needs. Anyone on the IT industry, who is looking for a observability tool needs to try it at least once(POC, Testing). Elastic defined all the standarts on this observability stack. **What do you dislike about Elastic Observability?** Overkill for the details, you need to be preciese about the needs. Otherwise you will get lot of information with no result. The latest AI additions are useless, there needs to be some templating to make things simpler. Ressource consumption is another downside. You need a real cluster with a lot of fast IO disks. **What problems is Elastic Observability solving and how is that benefiting you?** Single dashboard for all your monitoring exports. Later you can combine them with some alert mechanisms etc. Biggest benefit is about correlation between different data streams, so you can observe someone who send a mail from your internal network is at the same time on vacation(which can be caught easily on Elastic) ### 50. Elastic Observability **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** April 24, 2024 **What do you like best about Elastic Observability?** It is a suite of tools and features provided by Elastic that enables organizations to monitor and gain insights into the performance, availability, and health of their applications and infrastructure. **What do you dislike about Elastic Observability?** Log generation with APM is difficult. Knowledge of ELK is required. **What problems is Elastic Observability solving and how is that benefiting you?** Once established, it provides a comprehensive solution for monitoring and managing the performance, availability, and health of modern applications and infrastructure environments. ## Elastic Observability Discussions - [Do elastic search use indexes to store the information.](https://www.g2.com/discussions/do-elastic-search-use-indexes-to-store-the-information) - 1 comment, 1 upvote - [what is the best way to sync data with elastic search from SQL server](https://www.g2.com/discussions/13471-what-is-the-best-way-to-sync-data-with-elastic-search-from-sql-server) - 3 comments, 1 upvote - [Can I use Elasticsearch for free?](https://www.g2.com/discussions/can-i-use-elasticsearch-for-free) - 1 comment - [View Elastic Observability pricing details and edition comparison](https://www.g2.com/products/elastic-observability/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-30+19%3A20%3A04+-0500&secure%5Bsession_id%5D=6879cb76-5891-41ce-a928-0d2d6ac75162&secure%5Btoken%5D=a82140035128bb9ff3794869c9eaebb0461b6d7ec93378146ece0aa8b284a404&format=llm_user) ## Elastic Observability Features **Content Management** - Data Centralization - Insight Engines - Archiving - Insight Engines - Search Analysis - Insight Engines - Intelligent Search - Sentiment Analysis - Text Analysis **Functionality** - Baseline - Alerting - Multi-Site Monitoring - Reporting - Multi-Channel Alerting - Location Insights - Server Monitoring - FTP Monitoring - Mail Server Monitoring - Transaction Monitoring - Multi-Location Monitoring - Real-Time Monitoring - SSL Monitoring - Uptime Reporting **Monitoring** - Usage Monitoring - Database Monitoring - API Monitoring - Real-Time Monitoring - Cloud Infrastructure Monitoring - Security and Compliance Monitoring **Functionality** - Artificial Intelligence - Machine Learning - Systems Monitoring - IT Monitoring - Performance Monitoring **Visibility** - Dashboards and Visualizations - Alerts and Notifications - Reporting **Data Sources** - Pre-Built Connectors - API - Performance and Stability **Data Preparation** - Data Sources - Indexing - Automated Tagging - Data Blending **Monitoring** - Performance Baselines - Performance Analysis - Transaction Monitoring - AI/ML Assistance - Multi-System Monitoring - Generative AI - Container Monitoring **Content Discovery** - Search Interface - Insight Engines - AI Functionality - Insight Engines - NLP Functionality - Insight Engines - Data Mining - Insight Engines - Structured Navigation - Insight Engines - Machine Learning - Insight Engines - Full Text Search - Semantic Search - AI/Machine Learning **Administration** - Activity Monitoring - Multi-Cloud Management - Automation - Auto-Scaling & Resource Optimization **Issue Resolution** - Root Cause Identification - Proactive Identification - Resolution Guidance **Monitoring and Management** - Automation - Performance Baseline - Real-Time Monitoring **Analytics** - Queries - Dashboards - Visualizations - Insights - Data Visualization **Analysis** - Track Trends - Detect Anomalies - Metric and Event Data - Search - Alerts - Live Tail - Real-Time Data **Response** - Dashboards and Visualization - Incident Alerting - Root Cause Analysis (RCA) - Trend Analysis - Data Visualization **Agentic AI - Website Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Additional Functionality** - AI Copilot - Customizable Reports - Activity Dashboard - Single Sign On - Remote Monitoring & Management - Issue Management - Widgets - Chat/Messaging - Availability Testing - Website Analytics - Real-Time Analytics - Incident Management - Compliance Management - Performance Management - Performance Metrics - Collaboration Tools - Trend Analysis - Email Alerts - Alerts/Notifications - Real-Time Notifications - Drag & Drop - Data Visualization - Activity Tracking - Configurable Alerts - User Management - Generative AI - Application Management - Event Logs - Multiple User Accounts - Mobile Alerts - Visitor Tracking - Issue Tracking - Risk Alerts - API - For Websites - Scheduled Testing **Analysis** - Reporting - Dashboards and Visualizations - Spend Forecasting and Optimization **Management** - System Integration - Alerting - Reporting **Metrics** - For IoT Devices - Operational Performance - Environmental Conditions - Resource Usage **Visualization** - Dashboards - Data Discovery - Activity Dashboard - Activity Dashboard - Customizable Dashboard **Generative AI** - AI Text Generation - AI Text Summarization - Multiple Data Sources - Generative AI **Agentic AI - Application Performance Monitoring (APM)** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making - Third-Party Integrations **Agentic AI - Log Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Additional Functionality** - Configuration Management - Data Synchronization - Reporting & Statistics - Asset Tracking - Analytics - Real-Time Reporting - Data Extraction - Data Collection - Real-Time Data - Trend Analysis - Activity Tracking - Generative AI - Multiple Data Sources - Data Management - Predictive Analytics - Big Data Analytics - Visual Analytics - Alerts/Escalation - Real-Time Monitoring - Real-Time Notifications - ETL - Real-Time Analytics - Monitoring - Connectivity Management - Performance Analysis - Status Tracking - AI Copilot **Additional Functionality** - Analytics - Data Source Connectors - Multi-Language - Data Security - Search/Filter - AI Copilot - Knowledge Management - Reporting & Statistics - Data Extraction - Natural Language Processing - Third-Party Integrations - Data Visualization - Recommendations - Access Controls/Permissions - Automatic Backup - Compliance Management - Augmented Analytics - Data Aggregation - Intent Recognition - Indexing - Personalization - Activity Dashboard - Usage Tracking/Analytics - Data Classification - Data Discovery - Behavioral Analytics - Data Capture and Transfer **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Log Analysis** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Agentic AI - Cloud Infrastructure Monitoring** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Additional Functionality** - Continuous Monitoring - Reporting/Analytics - Real-Time Analytics - Issue Tracking - Anomaly Detection - Visual Analytics - Data Visualization - Monitoring - AI Copilot - Audit Management - Correlation Analysis - Generative AI - Reporting & Statistics - Search/Filter - Data Import/Export - Data Classification - Audit Trail - Pattern Detection and Recognition - Analytics - Activity Tracking - Event Tracking - Log Collection - Alerts/Notifications - Log Analysis - Event Logs - Data Analysis Tools - HIPAA Compliant - Predictive Analytics - Performance Metrics - Secure Data Storage - Dashboard Creation - Real-Time Monitoring - Alerts/Escalation - Remediation Management - Compliance Tracking - Single Sign On - Prioritization - Uptime Reporting - Log Rotation - Real-Time Notifications - Compliance Management - Server Logs - Incident Management - Role-Based Permissions - PCI Compliance - Charting - Log Parsing - Archiving & Retention - Server Monitoring - API - Diagnostic Tools - Customizable Reports - Real-Time Reporting - Policy Management - Issue Management - Vulnerability Scanning **Agentic AI - AIOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Automation - Cloud Infrastructure Monitoring** - AI-Powered Anomaly Detection - AI-Driven Insight Recommendations **Additional Functionality** - Root Cause Analysis - AI Copilot - Application Security - Reporting/Analytics - Data Aggregation - Incident Management - Alerts/Notifications **Performance** - Real User Monitoring (RUM) - Performance Metrics **Functionality** - Database Monitoring - Dynamic Transaction Mapping - Load Balancing - Cloud Observability - Server Monitoring **Additional Functionality** - Real-Time Data - Email Alerts - Bottleneck Identification - API - Uptime Reporting - Resource Management - Dashboard Creation - Data Import/Export - Baseline Manager - Issue Tracking - Drag & Drop - Reporting/Analytics - Alerts/Notifications - Prioritization - Collaboration Tools - Real-Time Reporting - Application Management - SSL Security - Incident Management - Access Controls/Permissions - Status Tracking - Audit Management - Customizable Reports - Diagnostic Tools - Single Sign On - Workflow Management - AI Copilot - Activity Tracking - Event Logs ## Top Elastic Observability Alternatives - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (717 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,238 reviews) - [Sentry](https://www.g2.com/products/sentry/reviews) - 4.5/5.0 (224 reviews)