# Elastic Observability Reviews **Vendor:** Elastic **Category:** [AIOps Tools](https://www.g2.com/categories/aiops-platforms) **Average Rating:** 4.2/5.0 **Total Reviews:** 90 ## 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 **What users like:** - Users find Elastic Observability's **ease of use** invaluable for quick setup and intuitive monitoring across systems. (7 reviews) - Users commend the **robust alerting features** of Elastic Observability for enhancing operational visibility and troubleshooting efficiency. (6 reviews) - Users appreciate the **excellent log management** of Elastic Observability, facilitating streamlined data collection and effective troubleshooting. (6 reviews) - Users appreciate the **real-time monitoring** capabilities of Elastic Observability, enhancing troubleshooting and operational visibility. (6 reviews) - Users commend Elastic Observability for its **strong out-of-the-box features and intuitive dashboards** , enhancing operational visibility and troubleshooting. (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 find the **learning curve steep** , especially with overwhelming log views and advanced features for new teams. (5 reviews) - Users find the **difficult learning** curve challenging, making it hard for newcomers to navigate Elastic Observability effectively. (4 reviews) - Users find the **log viewing experience overwhelming** due to a lack of proper filtering and integration options. (4 reviews) - Users find the **learning difficulty** of Elastic Observability overwhelming, especially with log management and advanced features. (3 reviews) - Users often face **log management issues** , struggling with hardware corruption and the lack of centralized log visibility. (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. Insightful, But Needs Improved Customization **Rating:** 4.0/5.0 stars **Reviewed by:** Sam . | Small-Business (50 or fewer emp.) **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. ### 2. 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.) **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. ### 3. 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.) **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. ### 4. Centralized Log Access with Powerful Monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Alexander F. **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. ### 5. Real-Time Insights, Easy Cloud Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Rembuluwani N. | Senior Devops engineer, Enterprise (> 1000 emp.) **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. ### 6. 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.) **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. ### 7. 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.) **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 ### 8. 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.) **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. ### 9. 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.) **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. ### 10. 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.) **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 ### 11. excellent product for monitoring and visibility **Rating:** 4.0/5.0 stars **Reviewed by:** Naushad A. | SDE II, Enterprise (> 1000 emp.) **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. ### 12. 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.) **Reviewed Date:** December 12, 2023 **What do you like best about Elastic Observability?** I like one of the best features of the elastic observabilty 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. ### 13. 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.) **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 corollation 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) ### 14. Elastic Observability **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **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 stablish it provides a comprehensive solution for monitoring and managing the performance, availability, and health of modern applications and infrastructure environments. ### 15. Excellent APM tool especially for ELK stack **Rating:** 4.0/5.0 stars **Reviewed by:** Yatish H. | Software Engineer, Enterprise (> 1000 emp.) **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 ### 16. 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.) **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. ### 17. 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.) **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. ### 18. The best solution to manage our logs **Rating:** 4.5/5.0 stars **Reviewed by:** Sharan D. | Quality Assurance Engineer, Enterprise (> 1000 emp.) **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. ### 19. Kibana - Goto Dashboard for monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Karthikeyan K. | Student, Design, Enterprise (> 1000 emp.) **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. ### 20. Monitor issues related to Kubernetes cluster **Rating:** 4.5/5.0 stars **Reviewed by:** Shehan D. | Software Engineer, Enterprise (> 1000 emp.) **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. ### 21. 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.) **Reviewed Date:** May 19, 2022 **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. ### 22. ELK - Simple, Easy and Robust Open Search Analytics Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Chirag T. | Technical Lead, Enterprise (> 1000 emp.) **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 andd received in the same language only. No cross language support. 2) Works on near real time. It means there is a lag of atleast 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. ### 23. Review "Elastic Observability" **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** December 19, 2022 **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 ### 24. 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.) **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. ### 25. Logs Visualiser **Rating:** 4.0/5.0 stars **Reviewed by:** Mukesh C. | Student, Mid-Market (51-1000 emp.) **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. ### 26. Great piece of open source tool **Rating:** 4.5/5.0 stars **Reviewed by:** shridhar P. | Technical Architect, Enterprise (> 1000 emp.) **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 alters. When it comes to searching for logs and erros 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 alters 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:** Its a open source tools which can be used in many different ways. Its be a used for logs 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 logs aggregation, error viewing and monitoring. In some projects for altering notifications and monitoring also. We had dashboards set up where the team monitors various systems. ### 27. Great application for data visualization **Rating:** 5.0/5.0 stars **Reviewed by:** Ayush U. | Software Engineer, Mid-Market (51-1000 emp.) **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. ### 28. 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.) **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 Elastcisearch I need to Install and ELk Stack for Monitoring After AWS Elasticsearch it's All Things Are Easy And Very Fast ### 29. Good data visualization tool **Rating:** 4.5/5.0 stars **Reviewed by:** Amar G. | Developer II - Software Engineer, Enterprise (> 1000 emp.) **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 alot of time to developer. And metrics and Alerts are very usefull feature. ### 30. Python integration with elastic search **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2022 **What do you like best about Elastic Observability?** We store appicliation 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 application and also generate log metrics. ### 31. Great tool for visulalizing application logs **Rating:** 4.5/5.0 stars **Reviewed by:** Vivek B. | Associate IT dev, Enterprise (> 1000 emp.) **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. ### 32. 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.) **Reviewed Date:** March 26, 2022 **What do you like best about Elastic Observability?** Interactive charts,Build in aggregators,mapping support,and its easily accessible dashboard makes kibana very useful and easy to manage. **What do you dislike about Elastic Observability?** I do not dislike anything, But it will be helpful if graphs are 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 database and dashboard purpose. ### 33. 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.) **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 data base. **What do you dislike about Elastic Observability?** It is most compatible with elastic search but for other it's need 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 to it 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. ### 34. 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.) **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. ### 35. 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.) **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 ### 36. Great Data Visualization Dashboard **Rating:** 4.5/5.0 stars **Reviewed by:** Sreyas V. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 14, 2021 **What do you like best about Elastic Observability?** Kibana is a great data visualization tool with an excellent user interface, providing different visualizations such as pie charts, histograms, etc. We have been using Kibana extensively to monitor the RPA bot automation and prepare various charts based on the same from the logs generated by the RPA bot.It seems really easy for non-technical people also to understand the visualizations generated. **What do you dislike about Elastic Observability?** There is nothing much to dislike about the tool as it does an excellent job of what it is supposed to do. **What problems is Elastic Observability solving and how is that benefiting you?** We have used Kibana as our primary visualization tool for all monitoring the RPA solution bot's performance, visualizing the average handling time for each bot execution, and also determining the different levels of exceptions based on its severity. The fact that all of this can be generated from the RPA bot audit trail makes it a competent visualization tool. ### 37. Devil is in the details ... Kibana is the Devil **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** December 13, 2021 **What do you like best about Elastic Observability?** Kibana is the tool for all the professional logger management for any service and product based companies. It really gives the specifics of all the requests and responses from the backend side and helps to troubleshoot better and better for sequencing of the transactions. **What do you dislike about Elastic Observability?** documentation has to be placed has walk through document while we are using the tool which will help to quickly find the required configurations/jqls. This is missing in the tool **Recommendations to others considering Elastic Observability:** go for it and try it. **What problems is Elastic Observability solving and how is that benefiting you?** logger management, exception handling, troubleshooting, request and response times, E2E transaction history from backend prospective. This is really helps support/operations teams to save time and business increases when we deliver with SLA ### 38. Its a amazing tool for viewing and browsing logs **Rating:** 4.5/5.0 stars **Reviewed by:** Parth M. | System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2021 **What do you like best about Elastic Observability?** It is very easy to manage, look logs into and you can sort and segregate logs based on time, log groups and millions of custom filters. It makes logging and debugging easy. **What do you dislike about Elastic Observability?** It can be a little complex at time to view logs, but over all it is great. The one thing I find annoying is you need to learn a whole new language in order to advance query the logs. **Recommendations to others considering Elastic Observability:** It is good, must try **What problems is Elastic Observability solving and how is that benefiting you?** Helped in viewing logs, sorting them and debugging applications. The ability to view multiline logs for a single console line is unique and I found it most useful. ### 39. Flexible and powerful **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Small-Business (50 or fewer emp.) **Reviewed Date:** October 20, 2021 **What do you like best about Elastic Observability?** Kibana elastic search offers a powerful and flexible dashboard to monitor the incoming and outgoing api. We love the KQL language that enables us to find the logs that we want quickly. **What do you dislike about Elastic Observability?** While the KQL query is fantastic, we would appreciate more user-friendly filter features, such as the ability to filter by "contain". Not everyone knows how to write KQL, and we have some not too technical business folks who regularly use the dashboard. It would be great if elastic search could add a few features to help them. **What problems is Elastic Observability solving and how is that benefiting you?** We are using elastic search to capture, monitor, and derive insight from our API logs. ### 40. Elasticsearch: Excellent, Superfast and Opensource! **Rating:** 4.0/5.0 stars **Reviewed by:** ANurag T. | Software Engineer II, Mid-Market (51-1000 emp.) **Reviewed Date:** September 08, 2021 **What do you like best about Elastic Observability?** Centralized logging. Easy content searching. Handle tons of data. **What do you dislike about Elastic Observability?** Poor documentation. Not so easy at the first contact. Hard to debugging issues. It's challenging to maintain ES servers and that is why alot of organizations move to managed one or a SaaS based. **Recommendations to others considering Elastic Observability:** It's Opensource if you're capable enough to manage and troubleshoot it's servers then it's great. It's really awesome and nothing is like this if using managed elasticsearch. **What problems is Elastic Observability solving and how is that benefiting you?** Elasticsearch we are using currently as a log aggregator. we're storing API Logs and user activities of our platforms for auditing purposes. ### 41. Kibana review **Rating:** 5.0/5.0 stars **Reviewed by:** Nidha M. | s, Mid-Market (51-1000 emp.) **Reviewed Date:** December 13, 2021 **What do you like best about Elastic Observability?** The filtering of logs using queries and the analysis concerning time. **What do you dislike about Elastic Observability?** In some cases, the time range is not precisely captured, leading to an error. **What problems is Elastic Observability solving and how is that benefiting you?** The solution for 4xx and 5xx errors involves obtaining detailed logs and exceptions. ### 42. Recommend for log searching **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2021 **What do you like best about Elastic Observability?** I like how I can save views and export log information I need to serve to customers as I troubleshoot **What do you dislike about Elastic Observability?** It can be hard to nail down the exact query language and sift through logs for the exact timestamp without the granular timestamp **What problems is Elastic Observability solving and how is that benefiting you?** Our team is using Kibana to store and search through logs to help troubleshoot customer issues and questions ### 43. For detailed logs-Best is Kibana **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** December 02, 2021 **What do you like best about Elastic Observability?** We will get the exact exception message for the error or warning, and we can easily find out the cause of the issue by analyzing the logs **What do you dislike about Elastic Observability?** The old data logs are difficult to find out (more than two months logs) **What problems is Elastic Observability solving and how is that benefiting you?** I am working in production support. It is beneficial to find out the logs behind 4xx, 5xx errors. And by analyzing that, it is easy to debug ### 44. Excellent tool for data monitoring **Rating:** 4.5/5.0 stars **Reviewed by:** Deepanshu C. | Technical Support Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** October 01, 2021 **What do you like best about Elastic Observability?** The tool allows the flexibility to modify results. I can save and view real-time data using the tool. It also allows you to view data on dashboards and you can create your own dashboards **What do you dislike about Elastic Observability?** The only thing i dislike is that the query formation is a bit complex. **What problems is Elastic Observability solving and how is that benefiting you?** Daily Monitoring Real-time data transections Dashboards Raw data ### 45. Best tool for kubernetes architecture platform **Rating:** 4.5/5.0 stars **Reviewed by:** Mallayasamy K. | support engg, Mid-Market (51-1000 emp.) **Reviewed Date:** August 03, 2021 **What do you like best about Elastic Observability?** Able to get the all types of logs like pod logs etc and filter can be able to modify easily. We can able to see them both logs and line chat on the same dashboard and are also able to shorten the time ascending and descending order **What do you dislike about Elastic Observability?** Response graphs are shown only 30sec and also unable to expand the graph showing some data error. **What problems is Elastic Observability solving and how is that benefiting you?** Albe to check the exact errors and it helps to find the issues. ### 46. An amazing search engine to search various fields using a easy single query! **Rating:** 4.0/5.0 stars **Reviewed by:** Ashutosh A. | Software Engineer Trainee, Small-Business (50 or fewer emp.) **Reviewed Date:** October 18, 2020 **What do you like best about Elastic Observability?** Some of the best things in elastic search are that it is open-source which means it's available free of cost and promises good community support. Due to this, a lot of learning resources and forums are accessible to assist and resolve the problems being faced. It facilitates searching for multiple fields in a single query, provides performance enhancement by indexing every field in a document. Also, it provides the availability of horizontal scaling, which further improves performance. It provides continuous node checking which also prevents data loss. **What do you dislike about Elastic Observability?** Elastic search doesn't provide any measure to manipulate overrunning of resources at any moment of time, it can also lead to data corruption in case overrunning occurs. Unavailability to cope with an atomic set of transactions. The absence of an access control mechanism is also another issue. Focusses more on indexing rather than backups and reliability which can also be really troubling at some moments. **What problems is Elastic Observability solving and how is that benefiting you?** Using elastic search as a central log search engine to analyze and search for multiple pieces of information from a single source in real-time. It provides a very easy and efficient way to search through large data and execute complex queries. In case, if load increases in the future, it also provides an option for horizontal scaling and intensifying enforcement. ### 47. Fast and efficient search with large data sets **Rating:** 3.5/5.0 stars **Reviewed by:** Sahit Kumar Reddy J. | Senior Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 24, 2020 **What do you like best about Elastic Observability?** Different applications data can be stored and used to search faster. The integration of APM is an added advantage which provides detail trace of the requests. Also with beats agents like metric beat, it will able to provide Metrics. We can create visualisations and consolidate them into single dashboard which is a wonderful feature **What do you dislike about Elastic Observability?** A little extra documentation with known/expected errors. The security and alerting comes with an extra cost which is bit high. IntelliSense feature needs to be improved. Need to provide extra examples with painless script by elastic **Recommendations to others considering Elastic Observability:** If you considering a simple use cases of APM, Logs, Metrics, Uptime you can try the free version. Also choosing right machine with RAM, storage matters. Go for paid version only if you are looking for security, machine learning and alerting features **What problems is Elastic Observability solving and how is that benefiting you?** Consolidated dashboard with different visualisations. Paid version provides alerting to emails/webhooks. The logs, metrics and uptime all can be found within the Kibana. ### 48. log monitoring tool for prod/non-prod **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2021 **What do you like best about Elastic Observability?** accessible to tail logs and search for errors in realtime **What do you dislike about Elastic Observability?** The graphical presentation could be better. **What problems is Elastic Observability solving and how is that benefiting you?** Log access, monitoring, resolving bugs. ### 49. Elasticsearch for Big Data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 10, 2021 **What do you like best about Elastic Observability?** It was my first experience working with big data and this tool made it super easy to comprehend and to improve my skills. The information available for it is great" **What do you dislike about Elastic Observability?** I don´t have a major negative critic about it, to say the truth **Recommendations to others considering Elastic Observability:** It is one of the tools that is growing on the market **What problems is Elastic Observability solving and how is that benefiting you?** I can´t specify to much because it is confidential data, but it was to deal with huge amounts of data and also to do some text analysis ### 50. A lot of promises, way to go Kibana! **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2020 **What do you like best about Elastic Observability?** Customization is amazing! Being browser based, it unlocks a plethora of options and plug ins. **What do you dislike about Elastic Observability?** The same browser based makes it heavily dependant on the user technical knowledge to take complete advantage. Not so intuitive. User has to think through to make some meaning vizzes. Gradually catching up on the intuitiveness part, but way to go. **Recommendations to others considering Elastic Observability:** Performance is not the best when you load it heavily. If your org permits take advantage of the latest Add-ons. they are a life saver. And if you have a SQL Interface accessible use it. Makes life easier. **What problems is Elastic Observability solving and how is that benefiting you?** Reporting solutions particularly for logs. Still exploring the options. Key benefits being the support from the community. ## 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=2026-05-25+00%3A41%3A43+-0500&secure%5Bsession_id%5D=00bc644a-728a-441b-826b-29c0bf891233&secure%5Btoken%5D=95b9ae60b70e9ced9486d47711241f09b877b6b4af5ab4be4ac5d2b01475d852&format=llm_user) ## Elastic Observability Integrations - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Gemini Enterprise](https://www.g2.com/products/google-gemini-enterprise/reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - [ServiceNow IT Asset Management](https://www.g2.com/products/servicenow-it-asset-management/reviews) ## Elastic Observability Features **Content Management** - Data Centralization - Insight Engines - Archiving - Insight Engines - Search Analysis - Insight Engines **Functionality** - Baseline - Alerting - Multi-Site Monitoring - Reporting - Multi-Channel Alerting - Location Insights **Monitoring** - Usage Monitoring - Database Monitoring - API Monitoring - Real-Time Monitoring - Cloud Infrastructure Monitoring - Security and Compliance Monitoring **Functionality** - Artificial Intelligence - Machine Learning - Systems 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 - Performance Monitoring - AI/ML Assistance - Multi-System 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 **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 **Analysis** - Track Trends - Detect Anomalies - Metric and Event Data - Search - Alerts - Live Tail **Response** - Dashboards and Visualization - Incident Alerting - Root Cause Analysis (RCA) **Agentic AI - Website Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Analysis** - Reporting - Dashboards and Visualizations - Spend Forecasting and Optimization **Management** - System Integration - Alerting - Reporting **Metrics** - Device Performance - Operational Performance - Environmental Conditions - Resource Usage **Visualization** - Dashboards - Data Discovery **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Application Performance Monitoring (APM)** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making **Agentic AI - Log Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Log Analysis** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Cloud Infrastructure Monitoring** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **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 **Performance** - Real User Monitoring (RUM) - Second by Second Metrics **Functionality** - Synthetic Monitoring - Dynamic Transaction Mapping - Load Balancing - Cloud Observability ## Top Elastic Observability Alternatives - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (694 reviews) - 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