Elasticsearch

Elasticsearch Reviews

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(1-25 of 45)

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Keith Lubell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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We use Elasticsearch to Index and make available for Search and Navigation our proprietary data on the M&A landscape. It drives dashboards and alerts to allow users to monitor trends and the latest events that occur in our dataset. It aligns our research group with our bankers. We marry it to Couchbase and MS SQL-Server.
Andrew Meyer | TrustRadius Reviewer
Score 9 out of 10
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Verified User
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We are using this in conjunction with other applications such as Atlassian stack. So this is being used throughout the whole organization but is an extension to another application. This allows us to search for words/topics very quickly in projects and commits. We currently use it in a single server instance.
Oscar Narváez Del Rio | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Elasticsearch enables an operational capacity to quickly adopt this technology and boost observability on the different platform's components (infrastructure, integration, application, and services). Elasticsearch distributed architecture to index and search data make it a robust platform to scale on the go and support operational needs.
Score 8 out of 10
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Verified User
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In my organization, Elasticsearch is used as a fast and simple solution for providing search capability to text-based data and to easily perform analytics for our dashboard. Being a JSON-based response system, our APIs become simple and support multiple behaviors by translating to Elasticsearch queries. Not only does Elasticsearch act as our analytics platform, but also it serves as secondary database storage.
Maria Sousa | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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We're using Elasticsearch for indexing most of our data, allowing for blazing-fast searches. We store massive time-series data volumes from thousands of IoT sensors that Elasticsearch handles brilliantly, making metrics available in realtime. We're also running dashboards and canvas in Kibana, fed from Elasticsearch, which gets updated in realtime.
Mark Freeman, MBA | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Elasticsearch is being used to store and search architecture standards, guidance, and other documents pertaining to software architectures. When used with the Spring Java Framework, it is extremely easy to set up custom queries.
Erlon Sousa Pinheiro | TrustRadius Reviewer
Score 8 out of 10
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Verified User
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In a cloud universe where we have hundreds or even thousand of servers to manage, is is a huge challenge to figure out the root cause of issues, it is totally unacceptable keep this sort of environment without a reliable logging and analysis system. Being part of the ELK stack, Elasticsearch give us what is necessary to handle this huge amount of data. I can't imagine our environments without Elasticsearch nowadays.
Gary Davis | TrustRadius Reviewer
Score 10 out of 10
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Verified User
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Elasticsearch is used on our B2B and B2C eCommerce websites to provide fast and powerful search capabilities for products. Search by title, artist, or various facets like genre, price-range and availability-date results in a list of products that the user can then drill down or continue searching within the result list. Within the organization, Elasticsearch is used by the programmers in the IT department.
Score 10 out of 10
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Verified User
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Elasticsearch is currently our log aggregator and SIEM. It is collecting Windows Event Logs, Syslog, DNS logs and HIDS logs. We use it in the IT department, but its reach is far and wide and collects data from every domain machine we have. The problems it solves are numerous! We have dashboards set up for authentication activity, firewall event and VPN activity. With a single glance, it's easy to understand the data and move on to other tasks. In the event of an incident, the detail that is able to be gleaned is incredible. The SIEM app has a working Timeline feature that allows you to simply drag and drop events when investigating an issue. Host intrusion is done by a third-party app but is able to ship the data right to Elasticsearch for easy processing, storage, and display.
Score 9 out of 10
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Verified User
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The most crucial piece of infrastructure behind my company's whole product line is Elasticsearch. Our company's big selling point is an extremely flexible data model for our customers who send us their data. We want them to be able to send us data in almost whatever shape or form they want (as long as it's valid JSON we'll take it) and yet, make it still searchable. And you know how we store that nearly-unrestricted free-form data? Elasticsearch!
Score 7 out of 10
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Verified User
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Our organisation is currently using Elasticsearch for the Elasticstack functionality. Elasticstack gives us functionality to collect, aggregate, search and alert on logging. Kibana, which runs within the Elasticstack, gives us the functionality to create neat dashboards which we use within every layer of our organisation. This addresses the need for various levels of insight across the organisation.
Score 10 out of 10
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Verified User
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The way we set it up usually for our customers, Elasticsearch improves developer velocity by allowing to quickly search through millions of log messages. It is usually used by the development and operations team.
Gedson Silva | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Elasticsearch is being used for multiple purposes in multiple projects: centralized log management, APM, Metrics Collection as a TSDB, and as a replacement for traditional OLAP databases. It provides a high-performance indexing and search engine, which has become an invaluable tool addressing hard problems that would otherwise be very difficult to solve.
Jose Adan Ortiz | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch has been a big help for us. We used to work with Application Performance Management Tools that need another layer of visualization and data treatment, and with Elasticsearch we have delivered better insights for our customers.
We use Elasticsearch at our Technology & Services Department to address these issues for our customers:
- Customized Dashboards.
- Anomaly Detection.
- Metrics Predictability.
Ben Williams | TrustRadius Reviewer
Score 6 out of 10
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Verified User
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We currently use it to log the details of our RPA processes as they run through their production and development environments. They log back checkpoints, statues and error messages back to the Kibana database we use in conjunction with Elasticsearch.
Anatoly Geyfman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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We use Elasticsearch for our online (realtime) search engine. We've indexed over 2 billion documents, including every physician, hospital, and clinic in the United States. We started using ES from the beginning since I had a bunch of great experiences with the technology from my last job. We load data into Elasticsearch from multiple locations, including Postgres and BigQuery. On top of Elasticsearch, we've built a number of analytics tools that let us not only search but also deliver analytics for our stored data -- like top physicians performing a specific service and geography-based analyses. Overall we're super happy with Elasticsearch.
Tarun Mangukiya | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Elasticsearch is being used for multiple purposes at Iconscout. Starting from a search engine to viewing detailed analytics. We're even using it for logging of the server. It helps us to query through the millions of data easily and efficiently.
David Greenwell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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We decided to start looking into Elasticsearch after we had good success with using lucene (the full-text search indexer that Elastic uses). We had some queries in Oracle that were running EXTREMELY slow and knew we had to do something for the customer to make their experience better. We had a few thoughts on what we could use and Elasticsearch fit what we really wanted.
Colby Shores | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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We use Elasticsearch as the storage/search component of our logging infrastructure (ElasticStack). Once we have broken apart the individual variable components of each log as their own variable type using Logstash, we store those records in to Elasticsearch. Kibana queries Elasticsearch to display the resulting data. We also utilize Elasticsearch to display the cluster status for each of our markets across our entire web cluster using an internal reporting tool we wrote.
Trung Le | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch helped us to provide comprehensive reports, and frequent queries on our data (millions of rows), provided us a performance that we could not achieve before (though we have only 40 concurrent users at most) We also consolidate data from many sources within our company, and elasticsearch made it easy for us to do data analyzing, to have many useful insights of our data; things that we could never do (so easily) in the past.
October 04, 2017

Elasticsearch review

Manish Rajkarnikar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Elasticsearch is used across the whole org. It's used mainly for storing and searching application logs. We have many elastic clusters set up differently. Sometimes it's one cluster per app; sometimes it's one cluster for many apps; depending upon the volume of data being generated. Elasticsearch is used mainly for debugging purposes rather than metrics, but sometimess it's used along with Kibana to visualize metrics also.
Devaraj Natarajan | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is currently in our organization for multiple use cases. With the data volume growing huge and rapidly, we push the data into an Elasticsearch cluster setup. We collect logs from multiple systems and push into E C using logstash and few other message brokers system. We collect telemetry from multiple systems and run algorithms to analyze the data.

What is Elasticsearch?

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

Elasticsearch Pricing

More Pricing Information

SaaS Editions Pricing
Pricing DetailsTerms
Standard$16.00per month
Gold$19.00per month
Platinum$22.00per month
EnterpriseContact Sales

Elasticsearch Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

What is Elasticsearch?

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

What is Elasticsearch's best feature?

Reviewers rate Support Rating highest, with a score of 7.7.

Who uses Elasticsearch?

The most common users of Elasticsearch are from Mid-size Companies and the Computer Software industry.