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 46)
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Borislav Traykov | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly.
Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly.
Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it.
Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
Oscar Narváez Del Rio | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticseach platform allows implementing a robust operational stuck for unified observability handling a huge volume of data with high performance and capacity to scale fast. Logstash, Beats, and APM products provide a structured framework to collect events and data being easy to deploy and configure.
Keith Lubell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is really well suited for searching text (Natural Language Processing) and you can fine tune the searches and scoring very well. I like the ability to find Significant Terms in the Index, where you can find aggregations that are really relevant to a specific search. It also allows for queries to lead to new queries via aggregations which is great for navigating your data. It is less suited to doing more complex aggregations where slices of data are required to be processing using guassian normalizations. And doing searches which join different documents is very very hard, and requires serious thought on how to denormalize data.
Andrew Meyer | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is used very well in the log management space. In conjunction with Logstash, Kibana, and Graylog Elasticsearch makes leveraging these products wonderful. The ease of deploying it. Securing it very quickly. Fast and scalable searching options. It can also be a distributed data warehouse for immutable documents. However, it is not a fully functional database system.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is best suited for search, analytics, aggregation, and consumption from single tabular structured data. It works best if you sync your data at regular intervals either with Logstash or any other custom sync process.

However, Elasticsearch still does not support relational queries out of the box. You could denormalize your data before every sync, but that has the potential for complicating the sync process very fast.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Easiest recommendation of my career. The capability and speed are out of this world, and pricing compared to enterprise logging solutions is a fraction of the cost. That'd come with a caveat, that you must be ready to devote some time to it to learn it and get it working. It's not turnkey, but it's one of the best all-around.
Score 7 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is very well suited within an IT architecture where a lot of open-source software is already being used and where the developers strongly appreciate open-source software. Elasticsearch might be less appropriate in an organisation where there is less space to master the tool. The tool is quite difficult to learn once you start working on the CLI-level search queries.
Maria Sousa | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch really excels in search performance, so if you have massive amounts of data you need to search from, Elasticsearch is surely a great fit. I woud advise against using it as the main database or the only source of truth, because data corruption can happen in rare cases, and in that case a reindexing will have to take place.
Erlon Sousa Pinheiro | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is a great tool, but remember as every other tool, needs knowledge and expertise to work with. My first option would be using the cloud version provided by Elastic company, but unfortunately it is over my budget, then I need to manage by myself. Also according to your company's area, it wouldn't be possible to keep your data into third's cloud environment. In this case, there is no option other than keeping it by yourself.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch's best use case is when you want to store loosely-structured data and be able to search for it near-instantly. And you want to do that in a highly tolerant distributed system. My company doesn't use it this way but I've heard of other companies using ES to store system logs. Another company uses it to store giant store-catalogs.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is well suited for environments where multiple logs are being generated and investigation needs to be done in relation to multiple log files with each other.
Elasticsearch can help to provide a better visualization of the logs and an easy (sql like) search capability.
It also provides analytics capabilities powered with machine learning tools to help make decisions based on the log data.
Gedson Silva | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is so versatile and so easy to set up that it's really a no-brainer including it in most projects as the indexing and search engine components, as well as for analytics and aggregations. It's not so well-suited to be used as the main database, as there's a minor risk of data loss.
Jose Adan Ortiz | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch can be used perfectly inside a site for searching features in order to respond quickly to user queries. It can be used to act as a Centralized Log Server, where you can define events based on pattern detection for anomaly detection.
Elasticsearch has potent visualization features with Canvas and OOB Dashboards that can respond to business and technical requirements.
Score 9 out of 10
Vetted Review
Verified User
Review Source
ElasticSearch is great when you need a lot of data indexed really fast, as well as when you need to retrieve a large number of documents based on a complex query. Searching is super-fast.

If you need a large data store for documents where not everything needs to be indexed, don't use JUST ElasticSearch. We use one KV database system to store all of our data and use ElasticSearch as our Index. All searches are run off of ElasticSearch, and the main data store that it pulls from is the other database.
Score 7 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is great for development/research projects: It's fast, and *fairly* simple to set up. Project ideas of the calibre of: Watching a marketing feed from Twitter, or scraping sites. But for High availability in (say) a SCADA environment, probably not helpful. Though, I would recommend it for logging system nodes: such as a data center, trouble ticketing dashboard, or health/status visualizations.
January 10, 2019

The Best Available

Score 9 out of 10
Vetted Review
Reseller
Review Source
Elasticsearch is a great fit for a data lake environment that is being created to get rid of the typical siloed environment in so many data centers today. Being able to easily search, analyze, and correlate device information in easy to read JSON files is crazy valuable to our internal team.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is the gold standard for text-based search. Across large data sets it performs admirably, and we will certainly make it our first choice search solution in the future. For a use case where needs are simple and regular database queries might suffice, Elasticsearch may or may not provide any benefits.
Anatoly Geyfman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch is extremely well suited for structured (faceted) search, full-text search, and analytics workloads. Elasticsearch and the ELK stack are also a good fit for operations teams that want to be able to interrogate their logs in an online (read: fast) query tool. Elastic is amazing at creating super fast search experiences over very large datasets, where traditional RDBMS systems are either too costly or too slow.
Tarun Mangukiya | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Elasticsearch has a very fast an efficient searching process. If you've searched a heavy project, you can't just be dependent on databases. Plus, they have a REST API for everything, making it easy to use with any programming language or database.
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