--- title: Elastic Observability Reviews meta_title: 'Elastic Observability Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 105 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: 105 scale: '5' date_modified: '2026-09-11' 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:** 105 **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. 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. ### 5. 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. ### 6. 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. ### 7. Insightful Monitoring with Room for Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Samra K. | Quality Assurance Engineer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using 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:** September 05, 2026 **What do you like best about Elastic Observability?** I think Elastic Observability is a great platform to see how devices are working and to troubleshoot issues like whether a user's device is turning on. It provides all the details at once place, which is helpful for root cause analysis. I also appreciate being able to see the performance of APIs, checking if they are taking too long or encountering errors. The setup is straightforward, even at the entry level, and I find working with queries to be a good experience. **What do you dislike about Elastic Observability?** Sometimes Elastic Observability doesn't work until I open it in a different tab, which is kind of frustrating. **What problems is Elastic Observability solving and how is that benefiting you?** I use Elastic Observability to troubleshoot user device issues and monitor API performance, seeing all telemetry data and API calls in one place, which helps in analyzing problems quickly. ### 8. 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 ### 9. 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. ### 10. 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. ### 11. 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. ### 12. 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 ### 13. 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. ### 14. 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 ### 15. 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 ### 16. 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. ### 17. 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. ### 18. 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. ### 19. 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. ### 20. 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. ### 21. 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. ### 22. 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 ### 23. 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. ### 24. 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. ### 25. 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 ### 26. 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. ### 27. 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. ### 28. 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) ### 29. 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. ### 30. Excellent APM tool especially for ELK stack **Rating:** 4.0/5.0 stars **Reviewed by:** Yatish H. | Software 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:** September 20, 2023 **What do you like best about Elastic Observability?** User-Friendly Interface - It has a very intuitive and user-friendly interface that allows both professionals and novice users to quickly get started with monitoring and analyzing their applications and infrastructure.

Excellent Data Collection - Elastic Observability has an ability to collect and ingest data from a wide array of sources, including logs, metrics, traces, and more which makes adding a new data source and analysing it much easier than other platforms **What do you dislike about Elastic Observability?** Cost Factor: For larger companies it becomes a bit cumbersome to set it up and also manage costs since it can be a bit expensive (for big companies) if not optimised well **What problems is Elastic Observability solving and how is that benefiting you?** - Collecting logs and monitoring alerts
- Analysing application performance ### 31. Best way to analize and store million log traces **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel J. | Administrador BMC TrueSight Operations Management, 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:** April 14, 2023 **What do you like best about Elastic Observability?** Best way to analize and store million log traces in graphs. The best big data open source platform **What do you dislike about Elastic Observability?** The timestamp fields are very restricted. It should be more open and automatically detecting the needed timestamp **What problems is Elastic Observability solving and how is that benefiting you?** Now we can use big data to analyze million traces for our customer devices, with different dashboards such as time series or geographical maps. ### 32. Overviewing all our customer data for deep-dive analysis & modulating actionable insights is superb **Rating:** 4.0/5.0 stars **Reviewed by:** Ravi C. | Cloud Engineer, Information Technology and Services, 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 06, 2022 **What do you like best about Elastic Observability?** Elastic Observability is a powerful platform for observing transactions & telemetry customer data so that we can correlate issues within a short duration. This also helps us to handle Mean Time To Resolution (MTTR) efficiently, which is crucial for our end users. Along with the internal state of our applications, we can also gain insights into their dependencies & potential vulnerabilities to prevent production failures. **What do you dislike about Elastic Observability?** Improvements in the documentation would be helpful while we work with various data connection and visualization requirements. It will also ease the complexities faced during Agent setup for our environment. Elastic Observability is apt for our enterprise needs as it aggregates, correlates and inspects our application's telemetry data to visualize our functionalities. **What problems is Elastic Observability solving and how is that benefiting you?** Working with log messages, metrics & traces is crucial for identifying what's happening in our environment while the application is deployed. They can be hard to comprehend at times, and Elastic Observability gives us clarity on analyzing these telemetry data & helps on preparing our actionable insights. We can build custom metric aggregations to quickly work on their resolution whenever we encounter specific performance issues. Elastic Observability platform also consolidates costs in its unified dashboard, which is beneficial for saving expenses over the long term. ### 33. The best solution to manage our logs **Rating:** 4.5/5.0 stars **Reviewed by:** Sharan D. | Quality Assurance 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:** July 01, 2022 **What do you like best about Elastic Observability?** It allows to search keywords or attributes pushed by fluent D filter in text format and returns JSON documents based on the search keywords and selected time frame. More than going through each Kubernetes log it's easy to search any issue within a few seconds around whole log files. **What do you dislike about Elastic Observability?** When we use the elastic search API over HTTP it will take much time to return the JSON response when the log files' weight becomes terabytes. However, it can be avoided using backup and clearing the old logs from the storage. **What problems is Elastic Observability solving and how is that benefiting you?** Check the issues in Kubernetes clusters in a minimum amount of time. It helps us to reduce the allocated engineers in the monitoring team and is always helpful when it comes to an issue at the Kubernetes level. ### 34. Kibana - Goto Dashboard for monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Karthikeyan K. | Student, Design, 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:** May 05, 2022 **What do you like best about Elastic Observability?** I like the watchers feature the most. It is very useful in support lifecycle. we create events n our logging and then we once we create the watchers for the given event. the watcher gets alerted. we can also write an action like triggering a slack notification that will alert the monitoring team. this has helped our team in championing the proactive monitoring. **What do you dislike about Elastic Observability?** in watchers, the queries are limited unlike the free search/ lucene query. sometimes, its difficult to write a complex query for filtering an event in watcher script. **What problems is Elastic Observability solving and how is that benefiting you?** we are using Kibana to bridge our monitoring and support lifecycle of the applications. Once we receive a failure event in application, we log it which will be picked by the watcher in Kibana and triggers a notification to monitoring team; who in turn looks at the event and decides whether to flag it to support team or not. In this way, we capture production failures much faster. ### 35. Monitor issues related to Kubernetes cluster **Rating:** 4.5/5.0 stars **Reviewed by:** Shehan D. | 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:** July 06, 2022 **What do you like best about Elastic Observability?** Reduce the time engineers spend reading log files related to the Kubernetes cluster by using keyword search. Query any indexed keyword within seconds for any timeframe. **What do you dislike about Elastic Observability?** Over time, the query time will increase due to the heavy volume of logs, and Elasticsearch might sometimes hang due to the large volumes of log data. However, backing up old logs and clearing them would help to maintain Elasticsearch's health in a good way. **What problems is Elastic Observability solving and how is that benefiting you?** Monitor the performance issues related to Kubernetes clusters and applications delivered to customers globally in a particular time frame. Furthermore, it helps to display the visual elements in Kibana. ### 36. One of the best software products I have ever worked with **Rating:** 4.5/5.0 stars **Reviewed by:** Yoanis G. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using 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:** May 19, 2022 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?** I like three things about Elasticsearch: 1 - Its flexibility 2 - Its reliability 3 - How much the product has evolved over time I have been using Elasticsearch for some time and even after a few years, I'm still amazed at how flexible and reliable it is. I have been able to use Elasticsearch to ingest millions of events and build queries/dashboards on top of it and every time Elastic has delivered above and beyond. **What do you dislike about Elastic Observability?** There is very little I do not like about Elastic. Maybe one thing that could see improvement over time is the Kibana UI. Sometimes is not counter-intuitive how it works, especially if you're trying to build complex visualizations. **Recommendations to others considering Elastic Observability:** Elasticsearch is a flexible tool but it might take some time before you can fully experience the benefits of such a flexible piece of software. **What problems is Elastic Observability solving and how is that benefiting you?** I have been mainly using Elasticsearch to benchmark/troubleshoot application performance. We use it as a data sink where we ship hundred of thousands of events, on top of which we build different visualizations to analyze our applications' performance and optimize accordingly. ### 37. ELK - Simple, Easy and Robust Open Search Analytics Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Chirag T. | Technical Lead, Enterprise (> 1000 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:** March 28, 2022 **What do you like best about Elastic Observability?** 1) Flexibility of integration with almost all the tools and components around the globe. 2) Ease of use. 3) Developer friendly API's and Query mechanism. 4) Super quick. 5) Support for Distributed Computing. 6)Very powerful analytics tool called the Kibana which is the 'K' part of the ELK stack. **What do you dislike about Elastic Observability?** 1) No multi language support for handling request and response. Means, the request and response can be sent and received in the same language only. No cross language support. 2) Works on near real time. It means there is a lag of at least 1 sec between the time of data input and the time when the data becomes available for search. **Recommendations to others considering Elastic Observability:** One must definitely consider using Elasticsearch in their enterprise application suite. Few reasons being: 1) Did not find any other tool which provides so informative visualisation of logs on a user friendly dashboard. 2) JSON based query language which is easy to learn, adopt and use. 3) Can process millions of records with ease. 4) Can be considered if near real time logging is accepted and real time logging is not required. **What problems is Elastic Observability solving and how is that benefiting you?** 1) Easy to use, efficient, scalable. 2) Lot of filters provided by Logstash API's which allows integration with almost all the tools and components from different vendors. 3) Powerful and very informative Kibana dashboard. Can be used to index almost all types of data. 4) Supports Distributed Computing. Data is stored across multiple nodes. Hence, making it fault tolerant and resilient. 5) Very powerful tool for visualization of Logs, events that flow across multiple streaming platforms like Kafka, Spark etc. 6) Filtering based on various criteria to narrow down the search results. 7) Search results can be bookmarked, stored in a file, displayed on a console. ### 38. Review "Elastic Observability" **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | 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 incentive as thanks for completing this review. **Source: Organic:** Organic review. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** December 19, 2022 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?** What I like the most is the simplicity of using Elastic Observability **What do you dislike about Elastic Observability?** I dislike in "Elastic Observability" is the fact that there is no option to combine the logs with our log files and to see all application info at the same place **What problems is Elastic Observability solving and how is that benefiting you?** We checked this util for testing purposes. Since the code already used ES ### 39. Great software to visualize data **Rating:** 5.0/5.0 stars **Reviewed by:** Drew N. | Senior Director Of Operations, 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 **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** February 04, 2022 **What do you like best about Elastic Observability?** I have been impressed by Kibana's flexible layout, which makes it easy to visualize large volumes of data in one place quickly. Kibana has allowed me to put everything I need to see right at my fingertips to make real-time decisions. **What do you dislike about Elastic Observability?** It would be great to have more support materials to guide new users in connecting their data and setting up their visualizations. I am intrigued by the machine learning options and would love to understand that more, but I struggle to find suitable materials. **Recommendations to others considering Elastic Observability:** I would undoubtedly recommend Kibana for anyone looking to find patterns in their time-series or production data. **What problems is Elastic Observability solving and how is that benefiting you?** Kibana allows us to keep in the know on the performance of our systems that lead to customer experience. It has enabled our teams to become more productive and allocate our resources where most needed. ### 40. Logs Visualiser **Rating:** 4.0/5.0 stars **Reviewed by:** Mukesh C. | Student, Mid-Market (51-1000 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:** March 23, 2022 **What do you like best about Elastic Observability?** Dashboards and visualization feature in Kibana is really great. There are tons of ways you can visualize and analyse your data. The feature of importing and exporting object helps save time. **What do you dislike about Elastic Observability?** It's a bit complex to integrate kibana as application logging tool. There will be many challenges on setting up agents and if the agent faces some issue then that can cause issues in log file rotation. Data is retained for less number of days and it can become more expensive if you need more data retention period. However, it does offer cold storage. **Recommendations to others considering Elastic Observability:** If you are moving to Kibana from any other vendor and are not aware of ELK then I would recommend first learn about it and then use the tool because it will help you gain knowledge on how data exactly flows from application server to the dashboards. **What problems is Elastic Observability solving and how is that benefiting you?** We use Kibana for API logging and monitoring. Using different visualization we created log dashboards in order to help us identify problems in our system and make changes. ### 41. Great piece of open source tool **Rating:** 4.5/5.0 stars **Reviewed by:** shridhar P. | Technical Architect, 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 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:** January 04, 2022 **What do you like best about Elastic Observability?** Kibana along with Elasticsearch is such an useful and great open-source tool. In several projects we depend on ELK stack for monitoring and alerts. When it comes to searching for logs and errors, this is one of the best solutions out there in the market. **What do you dislike about Elastic Observability?** The query language can be tricky. Even setting up certain alerts needs a certain level of tool and scripting. With the understanding of its scripting syntax, it can be hard to use this tool. **Recommendations to others considering Elastic Observability:** It's an open-source tool that can be used in many different ways. It can be used for log aggregation, monitoring & alerting, or even as dashboard reporting. I would highly recommend this in many different scenarios. **What problems is Elastic Observability solving and how is that benefiting you?** We are mainly using it for log aggregation, error viewing, and monitoring. In some projects for alert notifications and monitoring also. We had dashboards set up where the team monitors various systems. ### 42. Great application for data visualization **Rating:** 5.0/5.0 stars **Reviewed by:** Ayush U. | Software 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 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:** December 31, 2021 **What do you like best about Elastic Observability?** There are a bunch of things that I like about Kibana: 1. Beautiful visualization: The visualization provided on the interface is a very handy tool during debugging. 2. It also provides an interface to monitor and manage our Elastic cluster 3. We can filter logs on the basis of various parameters. This has come out to be the most important tool in our daily work and especially during incidents. **What do you dislike about Elastic Observability?** There is nothing I dislike. It is going great with the application. The details we are provided are very specific and you can also use Search API and python packages to integrate with your scripts. **What problems is Elastic Observability solving and how is that benefiting you?** We manage our Elastic clusters and also store logs with Kibana. We use Kibana as a source of debugging for various incidents internal to our software as well as external. ### 43. Best Ever Easy to Install Monitoring Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Ravi K. | Devops 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:** July 27, 2022 **What do you like best about Elastic Observability?** The Best Part of AWS Elasticsearch is the Managed Integrations and Easy Dashboards for Mostly Used Applications. **What do you dislike about Elastic Observability?** There is Still Some Improvements Needed for Source Data For Monitoring, and There Should to Option to Monitor Old Data From SE Buckets. **What problems is Elastic Observability solving and how is that benefiting you?** Before AWS Elasticsearch I need to Install and ELk Stack for Monitoring After AWS Elasticsearch it's All Things Are Easy And Very Fast ### 44. Good data visualization tool **Rating:** 4.5/5.0 stars **Reviewed by:** Amar G. | Developer II - 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:** January 20, 2022 **What do you like best about Elastic Observability?** It has the ability to search with any text from the log records, this helps a lot and saves lot of time. We can filter the log records based on conditions like environment, application, timestamp etc. **What do you dislike about Elastic Observability?** There should be a feature to save the current result set of the logs. View surrounding documents has bugs when we try to load more. **What problems is Elastic Observability solving and how is that benefiting you?** Easy to find errors from the application with simple search and date filter. It saves a lot of time for developers. And metrics and alerts are very useful features. ### 45. Python integration with elastic search **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul S. | Software Engineer, Mid-Market (51-1000 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:** July 30, 2022 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?** We store application logs easily with elastic observability **What do you dislike about Elastic Observability?** It's difficult to integrate es with python as source. **What problems is Elastic Observability solving and how is that benefiting you?** It helps in unifying logs from different applications and also generate log metrics. ### 46. Great tool for visualizing application logs **Rating:** 4.5/5.0 stars **Reviewed by:** Vivek B. | Associate IT dev, 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 10, 2021 **What do you like best about Elastic Observability?** Best thing about Kibana is the ease of conversion of visualization and dashboard into reports as we need reports to send to business daily for log and alerts. Also, automatic alert generation is an outstanding feature. **What do you dislike about Elastic Observability?** Installation of external plugins require lot of effort and very difficult to install on the first go. If a dataset is too large, there are better options, or you can use Mongodb etc. UI can be further improved. **What problems is Elastic Observability solving and how is that benefiting you?** We are using Kibana for logging purposes in Mulesoft application. It provides great-searching features and full-text search options, which is very useful when analyzing logs. It's easy to integrate into mule apps, and features like dashboards, graphs, and reports help us daily. ### 47. I would recommend OpenSearch over Kibana, since its easy to install, configure, and manage. **Rating:** 5.0/5.0 stars **Reviewed by:** Raveendra B. | Technical Lead, Mid-Market (51-1000 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:** March 26, 2022 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?** Interactive charts, built-in aggregators, mapping support, and its easily accessible dashboard make Kibana very useful and easy to manage. **What do you dislike about Elastic Observability?** I do not dislike anything, but it would be helpful if graphs were 3D instead of 2D. **Recommendations to others considering Elastic Observability:** I highly recommend others to try Kibana with OpenSearch for application monitoring and data visualization purposes. **What problems is Elastic Observability solving and how is that benefiting you?** We use Kibana for data gathering from the database and dashboard purposes. ### 48. One of the Best Data Processing Pipeline tool available **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | 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 **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:** March 18, 2022 **What do you like best about Elastic Observability?** The ability to collect data from various sources and the ability to process it on the go is the best feature of logstash. We mainly use it for collecting and processing data to send it to our database. **What do you dislike about Elastic Observability?** It is most compatible with elastic search but for others it needs a lot of improvement. So, documents to integrate it with other databases and tools should be provided. **Recommendations to others considering Elastic Observability:** Use it for collecting logs **What problems is Elastic Observability solving and how is that benefiting you?** We use it to collect metrics and logs from various sources and process it to send it to our database elastic search where we process it more to show on our monitoring page. ### 49. Elasticsearch is basically a well known tool for the users of ELK stack **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | 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 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:** January 09, 2022 **What do you like best about Elastic Observability?** Elasticsearch is a larger version of Logstash that brings together a smaller amount of data/logs. Elasticsearch creates an index for the data gathered, and one can use that index to fetch the data on Kibana or any other visualization tools to create reports. **What do you dislike about Elastic Observability?** Elasticsearch is only valid if we are dealing with more significant amounts of data or for companies willing to create reports for archived data of the previous 5 or 10 years. **What problems is Elastic Observability solving and how is that benefiting you?** Elasticsearch is a tool that is one of a kind in the business to deal with more significant amounts of data or logs. Elasticsearch creates an index for the data gathered, and one can use that index to fetch the data on Kibana or any other visualization tools to create reports. It helps companies to lessen the burden of consolidating the data themselves manually. ### 50. Excellent and Fast results for log analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Kavya P. | Freelance Writer, 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:** February 10, 2022 **What do you like best about Elastic Observability?** Kibana is an excellent tool to analyze log data and monitor or track logs for various applications. It is extremely user friendly Writing queries is also not rocket science and can be learned within a few minutes. **What do you dislike about Elastic Observability?** Installation is not very simplistic. The URLs are incredibly long; although there is an option of a short URL, it can timeout quickly. You then have to write the entire query again. **What problems is Elastic Observability solving and how is that benefiting you?** Generate reports and charts from existing log data Find errors and warnings from the backend monitor ## 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=2026-09-13+18%3A28%3A08+-0500&secure%5Bsession_id%5D=af494ed4-7c7c-401f-8324-a7ba3ff0735e&secure%5Btoken%5D=2ad143ec577533095537816c01f696f29910e6b9c9179c105a9be7dec438ad46&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) - 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