--- title: Elastic Stack Reviews meta_title: 'Elastic Stack Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 110 reviews by the users' company size, role or industry to find out how Elastic Stack works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 110 scale: '5' date_modified: '2026-08-07' parent_category: name: Business Intelligence url: https://www.g2.com/categories/business-intelligence --- # Elastic Stack Reviews **Vendor:** Elastic **Category:** [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) **Average Rating:** 4.5/5.0 **Total Reviews:** 110 ## About Elastic Stack The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data. ## Elastic Stack Pros & Cons **What users like:** - Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface. (3 reviews) - Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs. (3 reviews) - Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly. (3 reviews) - Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights. (3 reviews) - Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models. (3 reviews) - Alerting System (2 reviews) - Users appreciate the **real-time analytics and visualization capabilities** of Elastic Stack, enhancing data insights efficiently. (2 reviews) - Collaborative Sharing (2 reviews) - Users value the **flexible customization** options in Elastic Stack, enhancing their ability to tailor solutions to their needs. (2 reviews) - Users value the **customizable dashboards** in Elastic Stack, enhancing their data visualization and analytical capabilities. (2 reviews) **What users dislike:** - Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves. (3 reviews) - Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves. (2 reviews) - Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs. (2 reviews) - Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale. (2 reviews) - Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance. (2 reviews) - Technical Expertise Required (2 reviews) - Users find that the **bugs and troubleshooting difficulties** in Elastic Stack hinder effective performance management and usability. (1 reviews) - Complexity (1 reviews) - Users find Elastic Stack to be **resource-intensive** and challenging to manage, especially with increasing data volumes. (1 reviews) - Users find **debugging difficulties** in Logstash pipelines challenging, often lacking clarity and effective tools for troubleshooting. (1 reviews) ## Elastic Stack Reviews ### 1. Powerful Centralized Log Management with Elastic Stack **Rating:** 4.0/5.0 stars **Reviewed by:** Ravindra N. | SDET - 2, Oil & Energy, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2026 **What do you like best about Elastic Stack?** I like most about Elastic Stack its powerful search capability and real-time log analysis. The ability to quickly search through millions of log entries and pinpoint relevant events is incredibly valuable during troubleshooting and incident response. The full-text search is extremely fast even with large volumes of data. The Kibana dashboard provides clear visual insights into system health and behavior, and the advanced filtering and query capabilities make it easy to isolate specific errors in users, requests, or services. Real-time log ingestion allows the team to monitor issues as they occur visually across multiple applications, simplifying investigations. Custom dashboards help track operational and business metrics in one place. What I personally find most valuable is Kibana's visualization capability to correlate logs, trends, and system behavior through dashboards, helping identify root causes much faster than manually reviewing all log files. The combination of powerful search, centralized logging, and feature utilization makes Elastic Stack one of the most useful tools in our monitoring and troubleshooting workflow. **What do you dislike about Elastic Stack?** The initial setup and configuration of Elastic Stack can be complex, especially for teams that are new to the ecosystem. It requires precise knowledge for building and maintaining complex transport. I've noticed that scalability management can be a challenge as the environment grows, needing more time to manage performance, storage, and optimize indexes efficiently. The setup process was quite complicated and needed guidance and support from the Elastic Stack team. **What problems is Elastic Stack solving and how is that benefiting you?** Elastic Stack centralizes logs from multiple applications, making it easy to search and analyze large volumes of data. It helps identify errors and improve root cause analysis with real-time visibility. It significantly reduces troubleshooting time, resolving issues before they impact users. ### 2. Focus on Team Velocity **Rating:** 4.0/5.0 stars **Reviewed by:** Gautam P. | Researchers, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 27, 2026 **What do you like best about Elastic Stack?** As a Scrum Master, my focus is completely on team productivity and keeping our development cycles moving. What I like best about Elastic Stack (specifically the Elasticsearch and Kibana combo) is how quickly it allows my developers to root-cause issues during production incidents. Before we centralized our logs, a production bug meant devs had to manually SSH into individual servers and comb through raw text files, which completely killed our sprint momentum. Now, everything across our microservices is funneled into Kibana. The search speed even when looking through millions of raw data points is near-instant. Being able to save search patterns and instantly share specific log URLs across Slack allows our devs to collaborate seamlessly and close out hotfixes within the same sprint. **What do you dislike about Elastic Stack?** The primary headache is the steep learning curve for non-technical team members and the maintenance overhead. While the developers can write complex Lucene or KQL queries easily, our Product Managers and QA testers find the raw interface completely overwhelming without pre-built dashboards. Also, from a resource management perspective, it can be a massive hog. If the team doesn't configure index lifecycle management (ILM) correctly right out of the gate, old indices will quietly sit there and inflate your cloud hosting bill or throttle cluster memory. It requires regular tuning and clean-up, which occasionally forces me to dedicate valuable story points to 'infrastructure maintenance' spikes rather than customer-facing features. **What problems is Elastic Stack solving and how is that benefiting you?** It solves our fragmented observability problem. We use it to aggregate application logs, API gateway latencies, and system metrics into a single source of truth. The major benefit to our day-to-day workflow is the massive reduction in our MTTR (Mean Time to Resolution). During our post-deployment monitoring phases, if a new feature release triggers an anomaly, our automated Elastic alerts flag it immediately. The team can pinpoint exactly which microservice or code block is throwing exceptions within minutes. It has saved us countless hours of aimless troubleshooting, letting us protect our sprint goals and keep our production environments stable. ### 3. Easy Integration and Steady Product Evolution **Rating:** 4.0/5.0 stars **Reviewed by:** Siddharth S. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2026 **What do you like best about Elastic Stack?** It’s pretty easy to integrate, and the software seems to evolve at a decent pace. **What do you dislike about Elastic Stack?** The pricing for the paid enterprise software could be better, especially considering that much of this stack has been built on open-source contributions. **What problems is Elastic Stack solving and how is that benefiting you?** Elasticsearch helps us centralize and search logs across multiple systems, which makes debugging faster and easier. ### 4. Kibana -Data Visualization. **Rating:** 3.5/5.0 stars **Reviewed by:** RASHAB K. | Research Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 23, 2022 **What do you like best about Elastic Stack?** Kibana is an open source data visualization plugin for Elasticsearch. It provides us with a way to easily create and share beautiful dashboards filled with dynamic charts, graphs, and maps. It makes it easy to find insights in your data, and since it's fully integrated with Elasticsearch, you can use it to search, analyze, and visualize your data all in one .It's a definite recommendation for data analysis because it's so user-friendly and versatile. **What do you dislike about Elastic Stack?** Major complaint is that it can be slow to load data sets, particularly those that are large. Additionally, I find the built-in visualizations confusing and difficult to use. It also does not currently have a way to export charts and graphs **What problems is Elastic Stack solving and how is that benefiting you?** Our organisation uses it as it provides a wide variety of features, including data exploration, graph creation,Ehcache monitoring, and more. While Kibana is commonly used to visualize search engine results, it can be employed for any data set. Some benefits that have been realized with Kibana include: easier identification of trends and patterns in data, improved collaboration among team members due to the ability to share visualizations, and enhanced understanding of large or complex ### 5. Elastic stack for building search on user generated content **Rating:** 4.0/5.0 stars **Reviewed by:** Amit K. | Software architect, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2023 **What do you like best about Elastic Stack?** Ease of use, its very easy to get started with simple and easy to follow intsructions Good documentation extremely customizable with the help of REST Apis can be scaled quickly as its designed to be distributed from day 1 good community support **What do you dislike about Elastic Stack?** Need to be expert in distributed systems and Elastic stack if managing big and mission crtical Elasticsearch clusters ELK stack is very popular but has its own leaning curve when trying to achive more advanced use-case **What problems is Elastic Stack solving and how is that benefiting you?** It's a Search database based on very popular lucene library but due to its speed and analytics support its trying to be a leader in other category like SIEM, APM etc ### 6. Best NoSql database **Rating:** 4.0/5.0 stars **Reviewed by:** Bogireddy G. | Test Automation Eng Analyst , Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 30, 2023 **What do you like best about Elastic Stack?** Dashboards : these are best to get overview of entire jobs or functions. I love querying and logging logs to elastic which we can query very easily and filter data we require.The best part is date range we can filter the results with date range filter is amazing. **What do you dislike about Elastic Stack?** It's kind of steep learning curve and sometimes results will fetch too much data if you don't specify exactly what you are looking for.Ui is not great but it's okay to work with. **What problems is Elastic Stack solving and how is that benefiting you?** Most of the I use elastic to store the logs of api s I have developed and tested. I use elastic to store metadata of applications we have.I use to store the documents also. ### 7. Functionality Review of ES **Rating:** 3.5/5.0 stars **Reviewed by:** Sankalp A. | Growth Designer, Enterprise (> 1000 emp.) **Reviewed Date:** May 25, 2023 **What do you like best about Elastic Stack?** Elasticsearch excels in search, n-grams, and full-text capabilities, with improved aggregation performance and reliable customization options, and the support of high volume data is remarkable. **What do you dislike about Elastic Stack?** I am unable to able to do self-monitoring due to non availability of PROD, and I am unable to access ES from any device of mine parallel to that RAM storage, an speed is too slow in calculations **What problems is Elastic Stack solving and how is that benefiting you?** It helps my organisation to tackle a large amount of data and to monitor the anomalies,performance, and errors of the system application with real-time notifications. ### 8. Great Tool for Data Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Nadeemur Rehman C. | Director of Product Management, Mid-Market (51-1000 emp.) **Reviewed Date:** May 08, 2023 **What do you like best about Elastic Stack?** The best about Elastic stack is the Canva dashboard. **What do you dislike about Elastic Stack?** The limitation of pulling data for analysis for more than 6 months. **What problems is Elastic Stack solving and how is that benefiting you?** The Elastics Stack is helping me in solving the recruiter data analysis to analyse the current feature usage and help us to find roadmap items. ### 9. Visualizing different Data formats **Rating:** 4.0/5.0 stars **Reviewed by:** Mehak B. | Lead Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 26, 2023 **What do you like best about Elastic Stack?** Visualizing any type of data is possible using Elastic Stack products. With logstash, filtering and customizing the data picked from Elastic search is very easy to understand. **What do you dislike about Elastic Stack?** For transferring the logs to elastic search, filebeat setup is required which sometimes become a complex process **What problems is Elastic Stack solving and how is that benefiting you?** Visualizing log data on kibana to analyze the data and do future predictions ### 10. Elastic Stack Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 27, 2023 **What do you like best about Elastic Stack?** Very good and reliable product for the sharding and configurations.Gives great visualization and data sharing options. **What do you dislike about Elastic Stack?** Faced issues while integration it with kibana , and it also reduce speed if configuration are not correct. **What problems is Elastic Stack solving and how is that benefiting you?** Elastic stack comes up with great visualization, management of assets, and data sharing options. ### 11. Best tool for all log in one place. **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul T. | Associate Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** July 06, 2023 **What do you like best about Elastic Stack?** We can see all log in one place and very easy to setup. **What do you dislike about Elastic Stack?** Setting up the elastic stack and integrating it with Kafka. **What problems is Elastic Stack solving and how is that benefiting you?** We can see all the logs and all events in one place with elastic stack. ### 12. User friendly tool **Rating:** 4.0/5.0 stars **Reviewed by:** Thokala C. | Devops engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 29, 2023 **What do you like best about Elastic Stack?** Open source, user- friendly and perfectly serves the purpose. **What do you dislike about Elastic Stack?** A bit complex to manage. Scaling takes time. **What problems is Elastic Stack solving and how is that benefiting you?** We have over 300 microservices, and ES suits us perfectly to manage the microservices across the company. ### 13. It's a great tool for application monitoring. **Rating:** 4.0/5.0 stars **Reviewed by:** HEMANT S. | Senior Software Engineer I - DevOps, Enterprise (> 1000 emp.) **Reviewed Date:** January 19, 2023 **What do you like best about Elastic Stack?** I like how easily we can setup it and collect al the application logs and debug faster the issues. **What do you dislike about Elastic Stack?** It requires alot of computational resources. Logstash is mainly the resources hungry but at the same time it's very important component aswell. Though filebeat resolves the issue. **What problems is Elastic Stack solving and how is that benefiting you?** It's a centralised loging solution for our complex application where we can see a graphical interface of our application map by the help of kibana. ### 14. Best pipeline to transfer the data. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Investment Banking | Enterprise (> 1000 emp.) **Reviewed Date:** February 09, 2022 **What do you like best about Elastic Stack?** 1. Different format support- Logstash will transfer the different formated and complex data. 2. No data size barrier - Logstash will support the different data sizes without any limitations. 3. Support Customization - Logstash provides different plugins that help create our work pipeline. **What do you dislike about Elastic Stack?** 1. User interface is a bit complex which covers more information which creates UI bulky. 2. Sometimes, observe the performance issue, and the response time is slow. 3. Configuration is a bit complex and challenging to deploy. **Recommendations to others considering Elastic Stack:** If you are looking for a better data flow mechanism, form the different sources and make the process centralize, this is one of the best selections. **What problems is Elastic Stack solving and how is that benefiting you?** To achieve - Collect the different size formatted data from various sources and make it a more centralized process for the data flow; this logstash solution helps a lot and also get better benefits to create the customized pipeline for data flow. ### 15. Flexible tool to monitor api **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Mid-Market (51-1000 emp.) **Reviewed Date:** December 07, 2021 **What do you like best about Elastic Stack?** Kibana has many intuitive and easy-to-use tools for non-techies. For example, they have highly configurable dashboards, reports, charts, and seamless integration with Elastic Search. **What do you dislike about Elastic Stack?** The version of the search query that they use, Kibana Query Language (KQL), is a bit complicated and has a steep learning curve for people unfamiliar with query languages. **Recommendations to others considering Elastic Stack:** I highly recommend beginners to use Kibana as a starting point to their data visualization journey. **What problems is Elastic Stack solving and how is that benefiting you?** We needed a tool to visualize our API input and output. We also need to slice and dice the data and filter them accordingly to dive deeper to find insights and trends from the data. ### 16. Great affordable solution **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2021 **What do you like best about Elastic Stack?** Super easy to visualize data and do basic analysis. The price point compared to similar tools is a massive plus. Handles large data well **What do you dislike about Elastic Stack?** Tableau is definitely the better product, but it's also more expensive. I think Kibana could improve some of its functionality by making pivoting easier. **What problems is Elastic Stack solving and how is that benefiting you?** I'm looking to visualize and gain insights about large data quickly. I use dashboards to communicate with colleagues and clients both, thus making it easier to explain data trends. ### 17. Good tool for data visualization **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Automotive | Small-Business (50 or fewer emp.) **Reviewed Date:** March 03, 2022 **What do you like best about Elastic Stack?** Like the best is its powerful features for data visualization like pie chart histogram line charts. **What do you dislike about Elastic Stack?** No such dislikes about this application as not used it advanced. **What problems is Elastic Stack solving and how is that benefiting you?** We are using it for data analytics purposes for different project data's ### 18. Elastic search is a good database to save information about demographic data **Rating:** 4.0/5.0 stars **Reviewed by:** Wolfred M. | Full Stack Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 13, 2020 **What do you like best about Elastic Stack?** - Retrieve information about demographic statistics - Graphs automatically deploy after the data is submitting **What do you dislike about Elastic Stack?** - Is not easy to install and its difficult to understand at the first sight **Recommendations to others considering Elastic Stack:** know the data and understand the requiriments first, if the project require graphs and statics data use it, otherwise use other type of database **What problems is Elastic Stack solving and how is that benefiting you?** We deploy data about houses and was easy for the users to locate the properties and compare one another ### 19. Challenging to learn, but effective **Rating:** 3.5/5.0 stars **Reviewed by:** Sidney E. | Business Associate, Marketing and Advertising, Enterprise (> 1000 emp.) **Reviewed Date:** November 11, 2019 **What do you like best about Elastic Stack?** I like how you are able to customize queries/searches to get accurate and concise data metrics. **What do you dislike about Elastic Stack?** I do not love the confusing kibana layout. If you are unfamiliar with the tool it can be challenging to learn. **What problems is Elastic Stack solving and how is that benefiting you?** We use Kibana to track changes that we have made to site and evaluate customers navigation prior to landing on specific pages, but the possibilities are truly endless ### 20. Difficult to learn, but useful data **Rating:** 3.5/5.0 stars **Reviewed by:** Sidney E. | Business Associate, Enterprise (> 1000 emp.) **Reviewed Date:** November 26, 2019 **What do you like best about Elastic Stack?** I like how our team is able to easily customize queries to get the exact data set we are looking for! Our team has truly benefited from the software, but additional in-house resources are needed to get all data sets. **What do you dislike about Elastic Stack?** The platform can be difficult to learn and adjust to, but once you get adapted it becomes much easier. **Recommendations to others considering Elastic Stack:** Difficult to learn, but Kibana has a vast amount of resources and a dedicated customer support team **What problems is Elastic Stack solving and how is that benefiting you?** We use Kibana to help visualize customer search data and best understand consumer trends. ### 21. Good **Rating:** 3.5/5.0 stars **Reviewed by:** Divyang S. | Java Software Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2019 **What do you like best about Elastic Stack?** Kibana is a very easy tool to search big data stored in elasticsearch. It has easy navigation options and can quickly analyse data as per requirements **What do you dislike about Elastic Stack?** Initially I needed to understand how to run particular queries. Also doesn't give any error alert if a wrong query has been passed. Also, it shuts elastic cluster if too large a query is run through Kibana. **Recommendations to others considering Elastic Stack:** It's a great tool for real-time analysis of Data without writing queries to elastic. Also, reports can be exported to excel in csv format. **What problems is Elastic Stack solving and how is that benefiting you?** According to the company I am working in, we need to get specific data like ad campaigns are running in which area and how many incoming requests are being received to serve these campaigns. Here kibana has been useful and fast. ### 22. Awesome tool to visualize and monitor data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** September 13, 2019 **What do you like best about Elastic Stack?** Geo- graphic support in kibana and elastic search is really awesome. **What do you dislike about Elastic Stack?** there are no too many. But one is elk and kibana are that much version compatable. **Recommendations to others considering Elastic Stack:** No **What problems is Elastic Stack solving and how is that benefiting you?** To view the real geographic data of all the machines available at different places ### 23. Easy tool for graphical representation for developer without need of UI skill set. **Rating:** 4.0/5.0 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 Stack?** Best is I can dynamically create different types of data in various representation without ui technologies skill set . Just have to select x xaixs and y axis attributes and math function to plat chart. **What do you dislike about Elastic Stack?** Few limitation of match function and not much customization of graph once created. Like chaning the values depicted to different format based on choice. Sample graph with different format is currently limited. **What problems is Elastic Stack solving and how is that benefiting you?** Monitoring health charts of various application and monitoring cluster and alerting using painless script by watcher feature was super hit for was. ### 24. Kibana Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** April 11, 2019 **What do you like best about Elastic Stack?** I love the UI. It's a great web app that has a lot of promise **What do you dislike about Elastic Stack?** Setup is brutal and unpacking the tar files is not inutitive **What problems is Elastic Stack solving and how is that benefiting you?** Data Visualization of geo spatial data ### 25. Kibana Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2019 **What do you like best about Elastic Stack?** Powerful functionality between maps, ml and the search capabilities **What do you dislike about Elastic Stack?** Its so hard to get started with elastic search its not intuitive at all **What problems is Elastic Stack solving and how is that benefiting you?** Data Visualization of Geo Coordinates ### 26. Probably the best database for search **Rating:** 3.5/5.0 stars **Reviewed by:** Varun D. | Associate Software Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** October 17, 2017 **What do you like best about Elastic Stack?** Database exposed as a REST service! Seriously. Working with elasticsearch is so easy and fantastic experience. You get so many features out of the box - like full text search, document custom scoring, suggestions, results highlighting etc. And that's just tip of the iceberg. There are so many pluging like logstash and kibana for displaying metrics and logging. Also it is highly scalable. **What do you dislike about Elastic Stack?** There's not much control over consistency of your data; if you want to see your data in some particular format - you might need to index it in a predefined way. Elasticsearch's query DSL is less normal and less adaptable than PostgresSQL's SQL. By default everything is indexed, which might create index overhead depending on your database schema. You would need to understand some terms, like tokenizers and analyzers in order to get to know how to properly query your data and how the data is stored in the index. **Recommendations to others considering Elastic Stack:** Knowledge in cURL would be required before jumping to Elasticsearch **What problems is Elastic Stack solving and how is that benefiting you?** We are heavily dependent on Elasticsearch for our Business metrics telemetry data. We also use different plugins like Kibana, Logstash, Timelion for getting the data in different forms according to specific needs. It is probably the best tool available for fetching and viewing the data in real time. ### 27. Steep learning curve but it’s worth it **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 20, 2018 **What do you like best about Elastic Stack?** I’m an analyst, and Kibana helps me visualize the data I need in order to do my job well. It’s completely customizable. **What do you dislike about Elastic Stack?** It takes some “coding” savvy to use Kibana. You have to learn the program’s language to get what you want out of it. **What problems is Elastic Stack solving and how is that benefiting you?** I am able to see data trends on prices, and thus decide the best time to sell our products. ### 28. I am using Kibana for 4 years **Rating:** 4.0/5.0 stars **Reviewed by:** Евгений . | Управляющий партнёр, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2016 **What do you like best about Elastic Stack?** It has the best interface to browse throw stream of logs. I've tried some commercial tools: Loggly, Papertrail and Logentries but I've switched back to stack Kibana + Logstash. **What do you dislike about Elastic Stack?** I don't like that configuration format has been changed several times. I would like to have interface to configure the Logstash plugins and settings in the Kibana interface. **Recommendations to others considering Elastic Stack:** You are able to do the most interesting reports for you by yourself. **What problems is Elastic Stack solving and how is that benefiting you?** I've visibility of all my running services. http://12factor.net/logs ### 29. Best Data Visualisation tool **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Utilities | Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2016 **What do you like best about Elastic Stack?** Open Source. Easy to create graphs or charts on top of the content indexed on an Elasticsearch cluster. **What do you dislike about Elastic Stack?** Not much free documentation available for configuration and development using Java API **What problems is Elastic Stack solving and how is that benefiting you?** Indexing the transactions and logs for gas and electricity applications. ### 30. Powerful full text search server **Rating:** 3.5/5.0 stars **Reviewed by:** Guy T. | Software Engineer, Internet, Mid-Market (51-1000 emp.) **Reviewed Date:** January 26, 2016 **What do you like best about Elastic Stack?** Integration with Kibana and Logstash turns it into a powerful data and trend visualisation tool with the ability to run ad hoc queries. HTTP interface and schemaless nature allow users flexibility to modify both data stored and queries run as needed. **What do you dislike about Elastic Stack?** Can be hard to debug even with plugins such as kopf. High hardware requirements to run efficiently. **Recommendations to others considering Elastic Stack:** Powerful but consider options requiring less hardware to run before committing to the cost and complexity of supporting it. **What problems is Elastic Stack solving and how is that benefiting you?** Ability to perform ## Elastic Stack Discussions - [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment - [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment - [View Elastic Stack pricing details and edition comparison](https://www.g2.com/products/elastic-stack/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-07+17%3A42%3A17+-0500&secure%5Bsession_id%5D=e5e9cc1d-f22d-4499-820d-6792d0faca66&secure%5Btoken%5D=01d10c95ac53433396e083ecd998a43844996e226b7e653487c7b77448f78bdf&format=llm_user) ## Elastic Stack Integrations - [BrowserStack](https://www.g2.com/products/browserstack/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Red Hat OpenShift](https://www.g2.com/products/red-hat-red-hat-openshift/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) - [Wazuh](https://www.g2.com/products/wazuh/reviews) ## Elastic Stack Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Data Preparation** - Data Sources - Indexing - Automated Tagging - Data Blending **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Data Management** - Data Model - Data Types - Built - In Search - Event Triggers - Semantic Search **Data Management** - Data Model - Data Types - Built - In Search - Event Triggers - Query Language **Reports** - Reports Interface - Share Reports - Steps to Answer **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Analysis** - Track Trends - Detect Anomalies - Metric and Event Data - Search - Alerts - Live Tail - Real-Time Data **Analytics** - Data Analytics **Availability** - Auto Sharding - Auto Recovery - Data Replication - Backup and Recovery - Real-Time Data **Availability** - Auto Sharding - Auto Recovery **Visualization** - Graphs and Charts - Score Cards - Dashboards - Formats - Mobile Dashboards - Public Dashboards - Private Dashboards **Visualization** - Dashboards - Data Discovery - Activity Dashboard - Activity Dashboard - Customizable Dashboard **Security** - Compliance - Governance - Data Protection **Performance** - Query Optimization - Ad hoc Query **Performance** - Query Optimization **Data Updates** - Historical Snapshots - Real-Time Updating **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Collaboration** - Sharing - Co-Editing - Devices **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 - Third-Party Integrations **Additional Functionality** - Continuous Monitoring - Reporting/Analytics - Real-Time Analytics - Issue Tracking - Anomaly Detection - Visual Analytics - Data Visualization - Monitoring - AI Copilot - Audit Management - Correlation Analysis - Generative AI - Reporting & Statistics - Search/Filter - Data Import/Export - Data Classification - Audit Trail - Pattern Detection and Recognition - Analytics - Activity Tracking - Event Tracking - Log Collection - Alerts/Notifications - Log Analysis - Event Logs - Data Analysis Tools - HIPAA Compliant - Predictive Analytics - Performance Metrics - Secure Data Storage - Dashboard Creation - Real-Time Monitoring - Alerts/Escalation - Remediation Management - Compliance Tracking - Single Sign On - Prioritization - Uptime Reporting - Log Rotation - Real-Time Notifications - Compliance Management - Server Logs - Incident Management - Role-Based Permissions - PCI Compliance - Charting - Log Parsing - Archiving & Retention - Server Monitoring - API - Diagnostic Tools - Customizable Reports - Real-Time Reporting - Policy Management - Issue Management - Vulnerability Scanning **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Support** - Multi-Model - Operating Systems - BI Connectors - Data Connectors **Support** - Multi-Model - BI Connectors - Operating Systems **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Additional Functionality** - Database Conversion - Monitoring - Activity Dashboard - Data Extraction - Reporting/Analytics - Automatic Backup - Real-Time Monitoring - Audit Management - Data Visualization - Ad hoc Reporting - Compliance Management - Indexing - Search/Filter - Alerts/Notifications - Data Verification - Performance Testing - Data Capture and Transfer - Security Auditing - Access Controls/Permissions - Role-Based Permissions - Data Mapping - Data Retrieval - AI Copilot - Third-Party Integrations - Generative AI - Configuration Management - Audit Trail - For NoSQL Databases - Data Import/Export - Data Migration - Data Synchronization - API - Serverless Accessibility - Multiple Data Sources **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Data Updates** - Historical Snapshots - Real-Time Updating - Scheduled/Automated Reports - Customizable Reports - Predictive Analytics - Data Management - Real-Time Data **Additional Functionality** - Customizable Branding - Natural Language Processing - Data Extraction - AI Copilot - Ad hoc Reporting - Real-Time Reporting - Publishing/Sharing - Collaboration Tools - Strategic Planning - Self Service Data Preparation - Trend Analysis - Text Analysis - Real-Time Monitoring - Data Synchronization - Widgets - Benchmarking - Performance Metrics - Data Mapping - Generative AI - Trend/Problem Indicators - Customizable Templates - Access Controls/Permissions - Data Import/Export - Profitability Analysis - OLAP - Alerts/Notifications - Search/Filter - Drag & Drop - Data Connectors - Multiple Data Sources - Key Performance Indicators - Dashboard Creation - Role-Based Permissions - Data Mining - Forecasting - Ad hoc Query **Additional Functionality** - KPI Monitoring - Secure Data Storage - Multiple Data Sources - Data Visualization - Single Sign On - Natural Language Search - Search/Filter - Alerts/Notifications - AI Copilot - Real-Time Notifications - Collaboration Tools - Widgets - Performance Metrics - Ad hoc Reporting - Activity Tracking - Reporting/Analytics - Customizable Branding - Data Aggregation - Dashboard Creation - Data Connectors - Customizable Templates - Data Synchronization - API - Forecasting - Interactive Elements - Single Page View - Data Import/Export - Drag & Drop - Access Controls/Permissions - Trend Analysis - Workflow Management - Third-Party Integrations - Functions/Calculations - Historical Reporting - Data Capture and Transfer - Visual Discovery - Real-Time Updates - Real-Time Reporting - Data Mapping - Relational Display - Visual Analytics - OLAP - Ad hoc Query - Reporting & Statistics ## Top Elastic Stack Alternatives - [Looker](https://www.g2.com/products/looker/reviews) - 4.4/5.0 (1,592 reviews) - [Data Studio](https://www.g2.com/products/data-studio/reviews) - 4.4/5.0 (456 reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) - 4.2/5.0 (328 reviews)