# 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. It was a good experience using elasticsearch search engine **Rating:** 5.0/5.0 stars **Reviewed by:** Ezzeddine A. | Computer Science Student, Enterprise (> 1000 emp.) **Reviewed Date:** October 29, 2019 **What do you like best about Elastic Observability?** Elasticsearch is NO-SQL search engine full of features and support document format. It support REST API and makes it easy for user to send a search request using any language (backend). Also, if the document type is not recognized by elasticsearch, it adds it automatically which is awesome. Furthermore, the fact that elasticsearch output the search request result in JSON format make it a life saver especially for front-end users. **What do you dislike about Elastic Observability?** Honestly, I can't think of any major bugs or cons worth mentioning but I would say that the document upload speed (even using bluk) is a bit slow. **Recommendations to others considering Elastic Observability:** I advice anyone looking for a NO-SQL search engine which stores its data as documents to go for elasticsearch, it is really easy to implement and the fact that it support json format makes it easy for anyone to parse the search result to the front end **What problems is Elastic Observability solving and how is that benefiting you?** I used elasticsearch during my internship at tunisia in sagemcom company. my task was to create a NO-SQL cluster with document format and store certain log files and data in it Since elasticsearch supported document format, I went for it and it was a really good decision. Now, I have my own search engine with multiple cluster (also backups) and the data stored can be accessed easily by using a search API and parsing the JSON result. ### 2. No documentation **Rating:** 0.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2020 **What do you like best about Elastic Observability?** It's free, you can use docker to set it up. **What do you dislike about Elastic Observability?** Configuration is difficult to get right because of a lack of proper documentation. **What problems is Elastic Observability solving and how is that benefiting you?** We want to ingest log data from a java application to show it on kibana. ### 3. One of the best available NO-SQL search engines **Rating:** 4.5/5.0 stars **Reviewed by:** oussema b. | Computer science student, Mid-Market (51-1000 emp.) **Reviewed Date:** October 29, 2019 **What do you like best about Elastic Observability?** Elasticsearch stores data as documents. the storage is very flexible since when it doesn't recognize a new type of document, it add it automatically. Also, your data is safe because it uses clustering and backup nodes. Furthermore, when using search on Rest API, the data is returned in JSON which is amazing and supported for every front-end and backend framework. **What do you dislike about Elastic Observability?** The storage speed in bulk (using bulk API) is faster than the typical storage (one by one) but it is still slow. **Recommendations to others considering Elastic Observability:** If you are looking for a NO-SQL search engine supporting document types, I advice you to go for elasticsearch. **What problems is Elastic Observability solving and how is that benefiting you?** I used elasticsearch during my internship at sagemcom. the goal was to build a monitoring and dashboarding tool using kibana. I used logstash to extract the data and store it in elasticsearch for easy access. ### 4. Made my Job a lot easier **Rating:** 5.0/5.0 stars **Reviewed by:** Aymen H. | Junior Research Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2019 **What do you like best about Elastic Observability?** Elasticsearch support JSON format which makes it a lot easier for developers to integrate it with the backend. It has a powerful REST API and creates redundancy to avoid the loss of data. **What do you dislike about Elastic Observability?** When doing many search request, the server shutdowns sometimes. Also, the speed of accessing the data even when using the bulk API is low. **Recommendations to others considering Elastic Observability:** I advice anyone looking for a NO--SQL search engine supporting document types to take a look at elasticsearch. Its not hard to setup and I'm sure you will not regret it. **What problems is Elastic Observability solving and how is that benefiting you?** I worked on elasticseardh during my internship. My Job was to create a NO-SQL clusters and store data comming from an ETL tool in them. I choosed elasticsearch because it support document types and has a very powerfull java API. ### 5. Probably the best free logs visualisation software. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** July 19, 2020 **What do you like best about Elastic Observability?** Quite rich query language. A lot of different visualisations (graphs, charts, tables and etc). Dashboards. Fast. With premium pack - reports and etc. **What do you dislike about Elastic Observability?** UI filters do not support regexp (but you can put your regexp code manually). No reports or export in free version. Interface might be confusing for new users. **What problems is Elastic Observability solving and how is that benefiting you?** We have tons of logs. So we use Kibana as one centralised interface to search them all and to visualise them. ### 6. Logstash as a pipeline. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** January 11, 2020 **What do you like best about Elastic Observability?** Logstash provides so many plugins to filter and aggregate the data coming from the different data sources with the help of beats. It have three sections input, filter and output which is very easy and good way to write pipeline as in input sections we need to only write from where is data coming and in filter section we need to write the regex or in which format you want data and in output section we need to write where to send that data. **What do you dislike about Elastic Observability?** Till now everything is fine , I like to use logstash as pipeline. **What problems is Elastic Observability solving and how is that benefiting you?** Basically for log monitoring I am using logstash and I am using this because it provides so many plugins for filtration. ### 7. Search engine **Rating:** 5.0/5.0 stars **Reviewed by:** Yogesh B. | Technical Lead, Enterprise (> 1000 emp.) **Reviewed Date:** September 10, 2019 **What do you like best about Elastic Observability?** Its search engine, its best for indexing whole document and search word by word Have cluster capability Latest version is very stable it has the feature to separate the indices based on the category of the metrics or logs we dealing with it provides various features to customise the restart capabilities **What do you dislike about Elastic Observability?** its hard to achieve performance, not enough direction on benchmarking the performance. Faced lot of issues with stability and resiliency of the cluster Has issues with older versions of es with respect to resiliency, cluster management etc has issues in understanding some of internal **Recommendations to others considering Elastic Observability:** use it in right way, use it only for search engine purpose not for any time series or sql way **What problems is Elastic Observability solving and how is that benefiting you?** Store and search through logs we also store and retrieve counters analyse data helps to achieve good search, ranking, scoring etc ### 8. Best NO-SQL search engine **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** October 23, 2019 **What do you like best about Elastic Observability?** Elasticsearch website has a very good documentation. It makes everything easier and clear. The No-SQL search engine uses "document" as a storage type and can recognize any new document type (it adds it automatically). It has apis practicly for every programming language such as java, c++. I like also how it makes cluster and always back up the data. **What do you dislike about Elastic Observability?** Well, I think that elasticsearch should support more ETL softwares such as talend. Also, when implementing Kibana with elasticsearch, sometimes the data is not updated instantly and I have to restart the whole server or wait some time. **Recommendations to others considering Elastic Observability:** If you are looking for a NO-SQL search engine, I recommend using elasticsearch. It is easy to implement and uses the document structure to store your data. Also, it is flexible and can add all new documents even if their structure is not pre-defined. I used the documentation in the official website when implementing it and it made everything easier and clear. **What problems is Elastic Observability solving and how is that benefiting you?** I used elasticsearch, specificly its java api, to integrate it with an ETL tool. The ETL tool extract several data from various type of files and store in the elastic search search engine. My data become accessible everywhere and organized in my own structure. Also I used the Bulk feature in the java API, this way my data is uploaded faster. ### 9. popular search engine **Rating:** 4.5/5.0 stars **Reviewed by:** YOGESH B. | Mr, Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2019 **What do you like best about Elastic Observability?** has the ability to give search engine features letter by letter internally uses lucen for indexing which is a well tested product itself has the capability to create multiple indices based on context has auto retention feature based on time or size **What do you dislike about Elastic Observability?** hard to setup properly working cluster have spend lot of time in understanding performance aspects have lot issues wrt stability in older version so we had upgraded and had many compatibility issue when we upgraded **Recommendations to others considering Elastic Observability:** its a very good search engine meets all our scenarios **What problems is Elastic Observability solving and how is that benefiting you?** search engine store and search through logs store and search metrics aggregate on logs ### 10. Very good tool for troubleshooting **Rating:** 4.5/5.0 stars **Reviewed by:** Meni S. | Tier 4 support Team leader , Enterprise (> 1000 emp.) **Reviewed Date:** December 10, 2019 **What do you like best about Elastic Observability?** I mostly use the logs section, very intuitive. The layout is easy to work with as well. **What do you dislike about Elastic Observability?** search filter can be improved, also there is no hierarchy after filtering by tags **Recommendations to others considering Elastic Observability:** For inhouse troubleshooting purposes, it meets the requirements at a low cost and resource requirements **What problems is Elastic Observability solving and how is that benefiting you?** searching through logs an tracing problems. Realtime errors. customer pain. ### 11. Our goto data delivery and visualization application **Rating:** 4.0/5.0 stars **Reviewed by:** Ashok V. | Senior Manager, Business Applications, Enterprise (> 1000 emp.) **Reviewed Date:** July 31, 2019 **What do you like best about Elastic Observability?** It helps us to monitor and manage our Elastic Stack so that we are always aware of the goings-on with regard to our business operations. we can also do more than create graphs and similar data images with Kibana to visualize our business information. In fact, the solution integrates with the Vega grammar for us to create our own way of presenting our figures in an engaging manner. **What do you dislike about Elastic Observability?** Aggregations on top of other aggregations. Encryption at rest. Has a performance penalty when using inked documents. **What problems is Elastic Observability solving and how is that benefiting you?** We are integrating Kibana with our Process Automated layer database where we have a bot which makes intelligent recommendations and Kibana dashboards help us in identifying and debugging flow of events ### 12. Logs enquiry at best **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Outsourcing/Offshoring | Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2020 **What do you like best about Elastic Observability?** Kibana is really simple to learn and user friendly **What do you dislike about Elastic Observability?** Machine needs a lot of resources in order to manage big data **What problems is Elastic Observability solving and how is that benefiting you?** Log enquiry ### 13. Great tool for reading logs! **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** October 13, 2019 **What do you like best about Elastic Observability?** What I like the most is fact, that in sea of logs, you can easily search for special correlation ID or something else. It's great tool for debuging, which I use it for. **What do you dislike about Elastic Observability?** When your logs from one api calling is too large, it doesnt show all logs. It display just limited number of logs, what can be annoying sometimes. **Recommendations to others considering Elastic Observability:** I would recommended Kibana for all devolopers who try to find order in mess of thousands logs. **What problems is Elastic Observability solving and how is that benefiting you?** Mostly I search for logs for debuging program. Great benefit is, that you have various ways to filter logs, so can find exactly what you looking for. ### 14. Kibana for log analytics **Rating:** 3.5/5.0 stars **Reviewed by:** Sunny Kumar M. | Product Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** September 15, 2019 **What do you like best about Elastic Observability?** Filters applied to analyse logs Saving report and histogram to rapidly update the numbers in reports **What do you dislike about Elastic Observability?** No method to execute regex pattern to query the search logs **Recommendations to others considering Elastic Observability:** Amazing tool for analysing logs and finding insights in real time **What problems is Elastic Observability solving and how is that benefiting you?** Analysing the search logs to find the pattern and update in the report ### 15. Kibana review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Entertainment | Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2019 **What do you like best about Elastic Observability?** The capability to handle millions of logs and extensive abilities of Kibana query language. **What do you dislike about Elastic Observability?** Some UI features are not user friendly. The visualization is not as good as tools like grafana. **What problems is Elastic Observability solving and how is that benefiting you?** We log millions of logs coming towards to back office and other back end component from set top boxes in 6 different across 3 different environments. ### 16. Switching Companies **Rating:** 1.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** October 30, 2018 **What do you like best about Elastic Observability?** I love the fact that when it works we can see real time transactions and all the information that comes with the transaction. It is pretty easy to use and we can save a lot of our search queries so that we can do quick searches later. I also love the fact that we can can pull reports to excel. That is really helpful when we need to pull data quickly. The different ways that it presents information is helpful as well. **What do you dislike about Elastic Observability?** The main problem is that when it goes down there is no time frame of when it will be back up. We have called and called support and it has now been over 4 months that it has been down and we are unable to use it. We need it especially when there is an issue because its the best way for us to pull the data but when we can't use it that is a huge problem. Why pay for something that we can't even use. **Recommendations to others considering Elastic Observability:** They need better customer support. There is no reason we should be down this long. Again why would we pay for something that we can't even use. When it is up though it is a great tool. **What problems is Elastic Observability solving and how is that benefiting you?** The problems that we were solving by using Kibana is we are able to get our data quickly and able to figure out if there is a real issue with our stores quickly. That is a major benefit as well but if we can't use it then there is an issue. ### 17. Elasticsearch is very one of best nosql db . **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 12, 2019 **What do you like best about Elastic Observability?** We have recently used elastic search for our alerting and monitoring and have used elastic search as data store and search engine and had amazing results. Searching was very fast and reporting building was super easy using kibana and change dynamically. L **What do you dislike about Elastic Observability?** Learning curvy is very heavy when coming from relational database. Has lots of challenges with cluster management. Especially configuring ideal shards and replicas. **What problems is Elastic Observability solving and how is that benefiting you?** Search engine to replace splunk for reporting and alerting based on exception logged in application logs. ### 18. Elastic Search gets the job done **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2018 **What do you like best about Elastic Observability?** Elastic Search makes it easy to take machine data and log data and search and view it. Numeric data is easy to graph, especially system performance metrics. There are large number of different dashboards and visualization types available. **What do you dislike about Elastic Observability?** The biggest challenge is that the data has to be perfectly formatted at ingestion. Otherwise the data is not useful. Once the data is ingested, if useful information is not separated into fields, the data is not useful. The interface is also a little awkward when developing visualizations and dashboards **Recommendations to others considering Elastic Observability:** To get the most use of it, enforce standards for logging of useful information. Also, encourage teams not to log useless information. Teams will tend to just dump a lot of junk into the logs and this reduce the value you can get out of Elastic Search. **What problems is Elastic Observability solving and how is that benefiting you?** Performance monitoring, problem investigation, root cause analysis of system issues. Many teams have dashboards they use to monitor their services. ### 19. Elasitcsearch Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2019 **What do you like best about Elastic Observability?** The feature set. ES is an incredible product with a wide variety of capabilities like geo location / mapping **What do you dislike about Elastic Observability?** It's so difficult to get the exact details working with their json uploads. **What problems is Elastic Observability solving and how is that benefiting you?** Analytics and Big Data Inisghts ### 20. Easy to setup detailed log monitoring with interactive dashboards. **Rating:** 4.0/5.0 stars **Reviewed by:** Ahwan K. | Senior Software Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 26, 2018 **What do you like best about Elastic Observability?** The regular expression based log parsers work really well. Immediate discovery of issues helps fixing the bugs very soon. You do not need to login to server and check the logs everytime. Logstash along with Kibana and elasticsearch works like a charm. You will get a holistic view of all your logs and your debugging starts here. **What do you dislike about Elastic Observability?** Its parsing is limited to the regular expressions. Should have some approximate matching with ML techniques which can help discover more issues. Writing custom grok regex patterns is a bit complex. The threshold for one time setup is a bit high and you need to have an initial understanding of the tools. **Recommendations to others considering Elastic Observability:** Use the complete ELK (Elasticsearch, Logstash and Kibana) stack for the best overview and experience. You can find nginx, apache, uwsgi grok rules easily online but you should have an initial hands on with grok parsing if you want to have some custom parsing. **What problems is Elastic Observability solving and how is that benefiting you?** It helps developers discover and manage bugs very quickly. The no of incidents that are occurring can be monitored and helps decide that priority on which the issues needs to be worked upon. App monitoring and backend team's efficiency increases a lot with this tool since they don't have to spend a lot of time discovering the bugs. ### 21. Great log scrapper and visualization tool for logs **Rating:** 5.0/5.0 stars **Reviewed by:** Tyler S. | Engineering Lead - Full-Stack C#/Javascript, Enterprise (> 1000 emp.) **Reviewed Date:** October 05, 2017 **What do you like best about Elastic Observability?** I enjoy being able to query my data out of the logs and quickly find resolution to the issues in the platform. I also enjoy the auto highlighting of the search fields so that I can quickly determine if I am going down the right path for the errors located in the logs. **What do you dislike about Elastic Observability?** Sometimes the filter build is a bit too complex when you want to just create a simple text search. Since I'm not in there everyday I tend to forget the tricks to traversing the logs quickly **Recommendations to others considering Elastic Observability:** As you dive into Kibana you will quickly learn that there is some powerful tools for searching the logs, visualizing using the dashboards, and filtering data to just the context you care about. **What problems is Elastic Observability solving and how is that benefiting you?** We are using it on our production evironments to be able to give the developers access to the logs and visualize where the performance/bugs exist in the code. ### 22. Go to open source log processor **Rating:** 3.5/5.0 stars **Reviewed by:** Ben P. | System Analyst II, Enterprise (> 1000 emp.) **Reviewed Date:** December 27, 2017 **What do you like best about Elastic Observability?** It's a very versatile log processor with a very supportive community. It also comes with ample of plugins that's very useful. The GROK filter plugin contains prebuild regular expression that supports common software log patterns to get you up and running quickly. **What do you dislike about Elastic Observability?** There is a learning curve like all software. It has its own syntax and requires java run time. It's a memory hungry software for being a java app. **What problems is Elastic Observability solving and how is that benefiting you?** This is implemented with elasticsearch, kibana and logstash commonly known as the ELK stack for log management and anomaly detection for future implementation. ### 23. Strange at first, but amazing product **Rating:** 5.0/5.0 stars **Reviewed by:** Marielle Lynn N. | Central Planning Intern, Retail, Mid-Market (51-1000 emp.) **Reviewed Date:** January 30, 2018 **What do you like best about Elastic Observability?** This product was hard to get used to coming from SQL based querying and storage, but this product storage was so much more useful for the twitter data we used to store in it. **What do you dislike about Elastic Observability?** It was confusing because of the document based storage, which was strange. **Recommendations to others considering Elastic Observability:** Fantastic for data with rigid formats such as Tweets **What problems is Elastic Observability solving and how is that benefiting you?** Storing and querying on millions of tuples of twitter data. it was much easier to query over the data and visualize on that data. ### 24. Kibana usage review to get api performance metrics **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** December 26, 2017 **What do you like best about Elastic Observability?** It gives all the info on single dashboard and can be customized to get api response time metrics like average response time for a specific duration.You can see how many calls were made during that time and min,max and average response times **What do you dislike about Elastic Observability?** When I get to raw data it does open one excel sheet st a time and you need to close all other instances **Recommendations to others considering Elastic Observability:** Yes it’s open source and once implemented will be happy **What problems is Elastic Observability solving and how is that benefiting you?** Performance metrics to support capacity planning and infrastrutucture expansion to support growing business calls over a period of time ### 25. Easy to install - powerful to use **Rating:** 5.0/5.0 stars **Reviewed by:** Roberto F. | Senior Data Scientist, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 27, 2017 **What do you like best about Elastic Observability?** The tool is powerful, free and very easy to install. The documentation is wonderful. Well written and complete. **What do you dislike about Elastic Observability?** Nothing. Perhaps it is not in its maturity stage. They are releasing new major versions and it can be a problem. **What problems is Elastic Observability solving and how is that benefiting you?** To analyze logs for a company ### 26. Great log monitoring and viewing tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2017 **What do you like best about Elastic Observability?** Kibana's UI is very intuitive and performant, filtering tools available are also very easy to use and make operational tasks like troubleshooting issues and scanning logs very efficient. **What do you dislike about Elastic Observability?** The query language takes a little bit to get used to **What problems is Elastic Observability solving and how is that benefiting you?** We use Kibana to search logs aggregated across our applications and we also use it to interface with our ES clusters. The primary benefit is obviously having a nice UI to work with. ### 27. Works with great reliability and very low maintenance **Rating:** 4.0/5.0 stars **Reviewed by:** Ankit Narayan S. | Co-Founder, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 29, 2017 **What do you like best about Elastic Observability?** Very supportive community to reach out with issues. I also like their grok feature to do basic regex searches to convert some of my unstructured data into structured data and gives more visibility into my application logs. Last but not least, it's open source so it’s simple to extend it to custom log formats or add plugins for custom data sources. **What do you dislike about Elastic Observability?** It took me a while to set Logstash correctly and run it reliably without running into any issues. I would often get out of memory issues and even after increasing system RAM, I would run into this issue. I finally figured out the issue after much searching around but it was not immediately clear what caused the issue. Documentation is good but as with any open source tool, it is not as extensive or complete as one would wish. **What problems is Elastic Observability solving and how is that benefiting you?** We use logstash as ELK stack to monitor and search our logs in production environment to detect potential issues with our applications. It has also helped us to monitor logs for our large scale crawlers that we have deployed for our product. ### 28. Easy setup but hard to search **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Computer Games | Enterprise (> 1000 emp.) **Reviewed Date:** August 31, 2016 **What do you like best about Elastic Observability?** Very easy setup. The fact that it is open source is always a plus. Good user guide which is very helpful and a must read to know how to use Kibana and all of it's features. **What do you dislike about Elastic Observability?** Poor performance when there are a lot of logs to search through. The max tolerable search we can use is "This Month". Anything over that and it is just very long for the results to load. Need to read the user guide or else it's hard to know what your doing and the best way to search through all your logs. **Recommendations to others considering Elastic Observability:** Read the user guide to know how to use Kibana. It takes some time to fully learn all the features and to easily search through the logs you want. **What problems is Elastic Observability solving and how is that benefiting you?** We needed a way to search through our build system logs to search for recurring errors. Therefore we setup an ELK server to achieve this and Kibana is one of the components in ELK. ### 29. Worst configuration. Why Java and Ruby? Why not just Ruby or Java? **Rating:** 2.5/5.0 stars **Reviewed by:** Евгений . | Управляющий партнёр, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2016 **What do you like best about Elastic Observability?** The Logstash solves my problem. It collects all my logs and stores it in ElasticSearch. Everything else I do not like in this product! Sorry guys but other products from your company is much better! **What do you dislike about Elastic Observability?** I don't like the following: 1) Why Java and Ruby? Why not just Ruby or Java? I have to configure how to run java, jruby and after that I faced with the Ruby errors of some plugin... AAA!! 2) I don't understand configuration, what should i chose: embedded Elasticsearch or dedicated? What is the differences? Why some of plugins may be input, output, and filter? What should I chose? 3) I've configured Logstash, but I still have a lot of misunderstandings. I would like to have interface to configure Logstash in the Kibana. **Recommendations to others considering Elastic Observability:** Logstash are made by the same team as Elasticsearch and Kibana. **What problems is Elastic Observability solving and how is that benefiting you?** Logstahs helps me to collect all logs of all my services. ### 30. Kibana has greatly improved our visualization of stats **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** May 18, 2016 **What do you like best about Elastic Observability?** Kibana is a simple to use web app, which has allowed us to easily visualize or log files and statistics, we have been able to simply push our application log files to elastic search where kibana connects and visualizes the data in real time, being able to show realtime graphs on large displays has helped the support teams monitor to services we provide **What do you dislike about Elastic Observability?** It isn't as straight forward to create and save dashboards and visualizations as it should be, the User interface isn't intuitive and isn't obvious where to go and what to do. **Recommendations to others considering Elastic Observability:** We are now heavily reliant on Kibana, and graphs are displayed on 8 large screen cvs around the offices **What problems is Elastic Observability solving and how is that benefiting you?** We wanted an easy way to monitor all our log files in a visual way so that anyone can see them, allowing the whole company to see what is happening has helped engage everyone ### 31. Awesome for analysis. **Rating:** 5.0/5.0 stars **Reviewed by:** Melvin P. | Full Stack Developer Intern, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** August 03, 2016 **What do you like best about Elastic Observability?** Great visualizations and search provided over elasticsearch. I really like how elastic.co came up with the idea of building this and not let everyone recreate the same wheel. Its simplicity is the really great **What do you dislike about Elastic Observability?** I have not found it to be customizable but what it has is great. Other than that it has fit my use case. **Recommendations to others considering Elastic Observability:** Use ElasticSearch, Logstash/Fluentd with Kibana to save money. **What problems is Elastic Observability solving and how is that benefiting you?** I am using Kibana with Elastic Search and fluentd to parse log files automatically. Have been using elastalert with it to provide alert. ### 32. Quick searching made easy **Rating:** 5.0/5.0 stars **Reviewed by:** Oded S. | CTO & Country Manager, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 05, 2016 **What do you like best about Elastic Observability?** The easy installation, easy of searching out of the box. **What do you dislike about Elastic Observability?** querying is not easy. If you want to understand the underlaying querying, analyzers and tokenizer, it should take you some time. This is not trivial. **Recommendations to others considering Elastic Observability:** If you want to enable searching capabilities to your apps, elastic is easy to setup, and if you want the standard out of the box capabilities - you should be ok. If you need more advance querying from elastic, make your self some time off to learn. If you need logging monitor for your server, this is the right tool as well, combining it with logstash and kibana **What problems is Elastic Observability solving and how is that benefiting you?** Searching in a huge amount of data, was made easy with elastic search. It provides a search capabilities to our applications. In addition, it solves us the ELK stack (Elastic, Logstash, Kibana) - which provides us monitoring for logs in real time. ### 33. Preferred Kibana 3 **Rating:** 2.0/5.0 stars **Reviewed by:** Parker R. | Front-end Engineer, Internet, Mid-Market (51-1000 emp.) **Reviewed Date:** July 28, 2016 **What do you like best about Elastic Observability?** * Seems a bit faster (after the initial load/cache) * Mobile support is nice * CVS export data also helpful **What do you dislike about Elastic Observability?** * Kibana 4 interface is more complicated than 3. * Small things like finding out how to generate short urls is hard to find * Re-creating saved dashboards in 4 wasn't a 1:1 parity transfer. * Sometimes it's hard to find what you're looking for because the incoming logs are bleak. The flow is all over the place. * The scrolling fixed position CSS they do is also quite annoying. **Recommendations to others considering Elastic Observability:** It's very overwhelming at first. I recommend learning all types of queries (field base queries, regex queries, range queries, boolean, etc). **What problems is Elastic Observability solving and how is that benefiting you?** Log monitoring. => Funneling for debugging. Visualize data. => Dashboards for everything. ### 34. Elastic search is used for storing all our application and server logs **Rating:** 4.0/5.0 stars **Reviewed by:** Andy T. | Director, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2016 **What do you like best about Elastic Observability?** It is very easy to install and get going with Elasticsearch, with the ability to transform and manipulate the data as it is inserted allowing for better search results, and grouping of data for reporting. It ties in well with Logstash and Kibanna to create a one stop reporting platform and storage for all our logs from servers as well as our own developed software. **What do you dislike about Elastic Observability?** Creating a Elastic cluster requires a lot of thought and planning, we have also had a few unexplained outages from elastic search were it would drop nodes from the cluster without warning and stop reporting from working **Recommendations to others considering Elastic Observability:** Using elastic search has made querying log files for error much easier, with large log files located on multiple servers meant logs files were missed and errors unaccounted for, elastic search gave us a perfect solution for this **What problems is Elastic Observability solving and how is that benefiting you?** We wanted a single platform to store and monitor log files for our applications and servers, and elastic search provides the perfect storage platform for this ### 35. Low maintenance with high performance **Rating:** 4.0/5.0 stars **Reviewed by:** Ameya K. | Principal Programmer/Analyst (Big-Data), Consumer Electronics, Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2016 **What do you like best about Elastic Observability?** The grok feature used to parse out the fields from raw logs using regular expressions. **What do you dislike about Elastic Observability?** The internal memory consumption used by java for each application thread spawned. **Recommendations to others considering Elastic Observability:** simple to configure and use. easy to maintain and monitor. Only disadvantage is high CPU/memory usage for the underlying java program used by logstash. **What problems is Elastic Observability solving and how is that benefiting you?** parse out all the raw application logs using grok into a single JSON file which can be used to power user usage analytics for mobile devices and to determine customer churn. ### 36. ElasticSearch for ELK **Rating:** 5.0/5.0 stars **Reviewed by:** Timothy S. | Principal Developer Advocate, Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2016 **What do you like best about Elastic Observability?** It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for semistructured data and on top of a hadoop cluster. It's a great utility product for many uses from one cluster. **What do you dislike about Elastic Observability?** It's a bit hard to optimize and if you don't carefully monitor it, you will have weird crashes and run out of memory or disk space. You need to follow the documentation carefully and watch the resources. Always make sure you have more RAM and DISK then you will need by at least 25%. **Recommendations to others considering Elastic Observability:** Download it and try it on one server. Especially start with the ELK stack as that's a good use case and if you can't use it for anything else 1 server could make a great little ELK stack for your developers for their Java application servers. It has most of the functionality that you want from Splunk but without any cost unless you are getting the extra tools and support from Elastic. If you are putting it in production with a ton of servers and many critical use cases, you will want the enterprise support and tools from Elastic. **What problems is Elastic Observability solving and how is that benefiting you?** We needed it for log aggregation, log searching, data aggregation, data searching and for caching data for web sites. All of these work as advertised, the performance requires careful thought and setup. Out of the box, you need specific configuration for the file types you are using. ### 37. Index and Search millions of data and Logs **Rating:** 5.0/5.0 stars **Reviewed by:** David L. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 23, 2016 **What do you like best about Elastic Observability?** Easy to deploy, easy to integration with exist infrastructure. Pluggable front end management tool by head, easy monitoring and statistics by bigdesk. Integration of customized analyzers. Automatic cluster discovery by broadcast. Easy integration with Logstash and Kibana for log visualization and searching. **What do you dislike about Elastic Observability?** Lack of a web front end for configuration management (like the indexing strategy, tokenizer strategy, data source, etc...) Lack of indexing process tuning tool. Lack of indexing process visualization. **Recommendations to others considering Elastic Observability:** Spend some time on investigating the plugins, they will save you lots of time. Consider well about the security before you put it to public network. Use SSD as your storage. Set proper shard size less than 30GB. **What problems is Elastic Observability solving and how is that benefiting you?** We have hundreds of millions of POI data, and billions of nginx/tomcat Logs. And we need to search and group POI data, to find and analyze logs. Elastic search is the right tool. ### 38. Changed our life **Rating:** 5.0/5.0 stars **Reviewed by:** Emanuele L. | Co-founder and CTO, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** March 08, 2016 **What do you like best about Elastic Observability?** It is fast, it is robust, it's APIs are very very well designed **What do you dislike about Elastic Observability?** I don't have any complains at the moment **What problems is Elastic Observability solving and how is that benefiting you?** We are using it with Kibana to store and analyse our Application Logs. It fullfills our notsoBIG DATA needs which are not so pressing as to decide to build a Hadoop infrastructure. This is a much more ready to use tool ### 39. Kibana - not a dashboard-making tool for novices **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2016 **What do you like best about Elastic Observability?** Kibana has a simple, clean, interface. I liked that it had the capacity to display really cool stuff, as seen in tutorials. The standard metrics and options for visualization were efficient. **What do you dislike about Elastic Observability?** No pre-built templates for dashboarding, and limited in what can learn without seeking out video or blog tutorials or user boards. Having to first save a search and then a visualization, and then a dashboard was weird and confusing. **What problems is Elastic Observability solving and how is that benefiting you?** We use this to look for log patterns in multiple areas of the IT infrastructure. ### 40. Best Log management tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Utilities | Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2016 **What do you like best about Elastic Observability?** Open Source Very good tool for collecting and managing log files Very good integration with elastic search and kibana. Together all three form a powerful Log management solution. **What do you dislike about Elastic Observability?** Extensibility becomes complex. Need separate nodes for logstash ,kibana and elastic search. **What problems is Elastic Observability solving and how is that benefiting you?** Log management of the prod application deployed in a cluster environment. ## 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?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-05-23+09%3A43%3A26+-0500&secure%5Bsession_id%5D=da370753-183e-4529-bd25-ed732544ae0a&secure%5Btoken%5D=e5f1931de800e623286af97b2cd3a5466dba185f00b5bcb113705367cfecff18&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 (693 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,231 reviews) - [Sentry](https://www.g2.com/products/sentry/reviews) - 4.5/5.0 (197 reviews)