Elasticsearch

Elasticsearch

About TrustRadius Scoring
Score 8.4 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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Reviewer Sentiment

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Awards

TrustRadius Award Top Rated 2020

Reviewer Pros & Cons

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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

Features Scorecard

No scorecards have been submitted for this product yet..

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

Comparisons

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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 7.8.

Who uses Elasticsearch?

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

Reviews and Ratings

 (186)

Ratings

Reviews

(1-25 of 46)
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Borislav Traykov | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Greatly reduced data-in-transit and at-rest overheads
  • Provided us with a truly scalable solution for our data
  • Kibana offers a reporting platform based on our custom queries. Extremely useful for reports from automated test executions.
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Faster searches on our application have resulted in better usability and increased application use
  • Analytics dashboard has given our managers a better understanding of day-to-day activities
  • Being a backup data store, we need not touch SQL database while doing data dumps for local data science projects
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • I am not in finance and I suspect even if I was this would be hard to measure. But for sure, Elasticsearch has enabled us to have the most flexible data model in the industry for our customer's data, and in doing so we have attracted many many technical customers and got much of their $$$.
  • One problem with Elasticsearch is that because it runs on the JVM, there can be some stop-the-world JVM garbage collections happening that can take down nodes and reduce indexing speed. The solution for that tends to be "let's just upgrade the CPU on that machine". And before you know it you are paying $$$ because this'll happen with 40+ machines.
  • On the other hand, I do think that ES is more efficient than other systems and so it requires fewer nodes to keep it highly tolerant and available, so we probably saved some money that way.
Jose Adan Ortiz | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Elasticsearch can give you insights based on predictability, to do a Capacity Plan for infrastructure metrics.
  • The Visualization and Dashboards can give you a real view of business KPIs.
  • With OOTB anomaly detection, you can see potential issues with systems.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • ElasticSearch was able to meet the high demands of our product when it mattered most.
  • Implementation of ElasticSearch was easy and quick, saving on the cost of implementation.
  • Managing ElasticSearch is very easy. With the right monitoring tools in place, it really is "set it and forget it".
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • (Negative) Expense: Just Time. Early on, I had issues getting it installed in an exotic distribution, so labor/hours invested.
  • (Positive) Configuration and Modularity: You don't *have* to implement a full ELK stack. In fact, you could just run one, two or three components. However, marrying up ES with something like Syslog-ng, you combine two very powerful, feature-rich software packages in their own right, into an amazingly powerful data collection and gathering tool.
  • (Positive) Shallow learning curve: if you can write your own Unix configuration files, you will be able to maintain and develop on Elasticsearch.
Anatoly Geyfman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • We have had great luck with implementing Elasticsearch for our search and analytics use cases.
  • While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
  • We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
Tarun Mangukiya | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Improved the speed of our website
  • Improved the user experience by providing highly efficient text search
  • We're using it for logging, which makes it easy to query the errors and solve them
  • It takes time to understand the advanced queries in Elasticsearch