Elasticsearch

Elasticsearch

About TrustRadius Scoring
Score 8.3 out of 100
Elasticsearch

Overview

Recent Reviews

Win quickly with Elasticsearch

8 out of 10
October 30, 2019
Elasticsearch is used as a full-text search solution in most of my use cases. We have another analytics us -case which uses Elasticsearch …
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Elasticsearch is the future!

9 out of 10
October 26, 2019
The most crucial piece of infrastructure behind my company's whole product line is Elasticsearch. Our company's big selling point is an …
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Awards

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Pricing

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Standard

$16.00

Cloud
per month

Gold

$19.00

Cloud
per month

Platinum

$22.00

Cloud
per month

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services
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Features Scorecard

No scorecards have been submitted for this product yet..
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Product Details

What is Elasticsearch?

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

Elasticsearch Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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

Reviewers rate Support Rating highest, with a score of 7.8.

The most common users of Elasticsearch are from Enterprises (1,001+ employees) and the Computer Software industry.
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Comparisons

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Reviews and Ratings

 (192)

Ratings

Reviews

(1-25 of 42)
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Borislav Traykov | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is the most well-known and supported free data platform that we identified. We are taking advantage of community knowledge and practices.
In terms of flexibility and breadth of use cases no other competitor came close to Elasticsearch.
We've tried Solr in the past be we encountered issues which were deal-breaking for us.
MongoDB - it just did not pass our evaluation parameters as a main data platform. We still use it for smaller purposes, though.
Oscar Narváez Del Rio | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch brings the capacity to grow data ingest and provides 24/7 visibility into critical services across IT and Business teams.
With Elasticsarch, specialized support teams can easily view all the relevant information by using real-time dashboards, and can immediately start the initial analysis to isolate and mitigate issues.
Keith Lubell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch and Solr are both based on Lucene, but the user community for Elasticsearch is much stronger, and setting up a cluster is easier. Splunk is very well suited for Log indexing and searching but is not nearly as flexible as Elasticsearch. Couchbase is a great NoSQL database and is super fast as key value store, but it's indexing abilities are much weaker than Elasticsearch and can not do aggregates and listings in a single query
Score 8 out of 10
Vetted Review
Verified User
Review Source
Search and analytics capabilities of Elasticsearch are superior to its competitors. Being open source, it is a cheaper and faster solution than other competitors. Installation is straightforward and it can be potentially deployed anywhere and everywhere! There is no need for expensive subscriptions or pay per data.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Faster, better, more efficient. There was no comparison in Elasticsearch vs LEM. AlienVault was decent but too expensive for what it does compared to Elastic. The only competitor I'd consider as in the same ballpark in the SIEM world is Splunk. Save yourself the money and get a Ferrari and Elasticsearch instead.
Score 7 out of 10
Vetted Review
Verified User
Review Source
I think Elasticseach works less great compared to Splunk. Mainly the way the Splunk search head works is vastly superior to the way the Elasticsearch query language works. Furthermore, the Splunk architecture is in my opinion easier to roll out and scale-up. Splunk also has a better visualisation editor for dashboarding, which has more freedom and is easier to use.
Maria Sousa | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is very well packed in a broad set of features, ranging from customization capabilities to security and add-ons, and also comes with a great visualization tool named Kibana. Most of the competitors are strong in some of these areas, but I know of no other that's so well balanced as Elasticsearch is.
Erlon Sousa Pinheiro | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
From my perspective, there is nothing currently on the marker better than Datadog, but unfortunately, that's a pricey product, Elasticsearch deliver us part of Datadog functionalities being cheaper. Fluentd as a service (provided by the company behind Fluentd) looks like a medium service. I didn't find anything better than Elasticsearch, so, from my perspective, Elasticsearch is a product between Fluentd and Datadog.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Almost no one uses Solr anymore--most have migrated to Elasticsearch. I've never tried it myself but I heard Solr is much more difficult to configure and because it doesn't use a REST API, it locks you into Java and XML. XML--ick!
Lucene: Elasticsearch is built using Lucene instances for each index (the ES code essentially just glues together tons of Lucene instances), so it's not a fair comparison. But I suppose if you wanted the flexible data-model and you don't need the system to be distributed and highly available and parallel, Lucene would be a good choice.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is open source and therefore cost effective.
Search query language in Elasticsearch is easy to use and helps everyone to get hands-on basic training.
Elasticsearch integrates well with Kibana and Logstash which extends its capabilities of visualization and analytics.
Its extendible with multiple applications through REST api services.
Jose Adan Ortiz | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
With Elasticsearch you can integrate a lot of data sources. It can act as a small DataLake where you can put different kinds of data and extract important insights. With Splunk, additional to elevated costs of licensing and hardware, you need to have expert engineers to address business and platform requirements. If you have Elasticsearch, it can be easily deployed and scaled.
Score 9 out of 10
Vetted Review
Verified User
Review Source
All database systems have things they are good at, and things they aren't as good at. Riak/SOLR is great as a K/V store, but SOLR cannot handle requests as fast as ElasticSearch. In fact, SOLR is the reason we had to migrate to ElasticSearch.
Redis is great at SET operations on large sets of data and quick in-memory operations. We actually use Redis for a small subset of tasks in our product that wasn't appropriate to perform on ElasticSearch. In this case, it was much faster and cheaper to use Redis.
Score 7 out of 10
Vetted Review
Verified User
Review Source
ES does not compete with the above packages but compliments them. By automating and mining logs, you are able to get a sense of the business process, marketing data or whatever else you need to capture and mine. The potential energy stored within Elasticsearch makes it a great tool to include in your DevOps toolbox.
January 10, 2019

The Best Available

Score 9 out of 10
Vetted Review
Reseller
Review Source
Elasticsearch is the most powerful and easy to use platform in this market. It's open source which makes enhancements very possible and also makes customization something that is commonplace. We're able to create custom modules to pull data from both log and config files, which is a very unique ability.
Score 10 out of 10
Vetted Review
Verified User
Review Source
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
Anatoly Geyfman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
When we first evaluated Elasticsearch, we compared it with alternatives like traditional RDBMS products (Postgres, MySQL) as well as other noSQL solutions like Cassandra & MongoDB. For our use case, Elasticsearch delivered on two fronts. First, we got a world-class search engine out of it, that we custom-built for our specific domain (healthcare). We've got, easily, the most expressive (easy to use & powerful) healthcare search engine out there. Second, along with the search, we also received an analytics engine that could do most analytics jobs as quickly as it retrieved search results. Overall, it would be very difficult for us to find a single solution for these two different problems.
David Greenwell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
The only other competitor we researched was mongo as some of our table information is stored in an XML file, but as we were doing searching we gravitated towards Elasticsearch. We knew mongo had some of the qualifications for what we wanted, but went with Elasticsearch for specifically our searches and actually used Mongo for more DB storage.
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