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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Elasticsearch

    Score8.5 out of 10
    N/AElasticsearch is an enterprise search tool from Elastic in Mountain View, California.

    $16

    per month

    Pricing
    Elasticsearch
    Editions & Modules
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Elasticsearch
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Elasticsearch
    Considered Both Products
    Elastic
    Chose Elasticsearch
    Elasticsearch has a steep learning curve, but it is the best in terms of customization and use cases it can cover most of the business needs. The other tools might be easier to integrate with and start seeing results, but you will end up having issues when you need customized …
    Incentivized
    Chose Elasticsearch
    Elasticsearch is relatedly cheaper the splunk. OpenSearch is good and we migrated some data into it but the critical data stays in elasticsearch as it has formal support.
    Incentivized
    Chose Elasticsearch
    They all have their specific pros and cons. Elastic was actually initially brought in to provide less expensive functionality to Splunk, and Splunk use cases. Grafana was brought in to provide less expensive visualizations compared to Splunk and Elastic...I would recommend …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    • SharePoint seems antiquated.
    • Amazon Elastic File System is hard to find things.
    • Google Search Appliance does ranking poorly.
    Incentivized
    Chose Elasticsearch
    Elasticsearch is more expensive, especially on disk storage. In terms of functionality and ease of use, it's better than most solutions out there.
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    Previously, we used Microsoft SQL Server's full-text search. Elasticsearch is faster and that includes searching and indexing and re-indexing the catalog of products.
    Incentivized
    Chose Elasticsearch
    Elasticsearch is much easier to set up and maintain. It provides better distributed architecture and fault tolerance, and is much faster searching.
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    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 …
    Incentivized
    Chose Elasticsearch
    We've not tried any other products as Elasticsearch is the best fit for our requirements.
    Incentivized
    Chose Elasticsearch
    Power and simplicity along with performance.
    Incentivized
    Key User Insights
    Would buy again
    82%
    Would buy again
    14 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    17 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    87%
    Implementation went as expected
    13 Answers
    Best Alternatives
    Elasticsearch
    Small Businesses
    Apache Solr
    Score7.9 out of 10
    Medium-sized Companies
    IBM Watson Discovery
    Score9 out of 10
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    All AlternativesView all alternatives
    User Ratings
    Elasticsearch
    Likelihood to Recommend
    9.0
    (48 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    Usability
    10.0
    (1 ratings)
    Support Rating
    7.8
    (9 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    User Testimonials
    Elasticsearch
    Likelihood to Recommend
    Elastic
    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.
    Incentivized
    Read full review
    Pros
    Elastic
    • As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
    • Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
    • Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
    Incentivized
    Read full review
    Cons
    Elastic
    • Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
    • Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
    • Schema changes require complete reindexing of an index
    Incentivized
    Read full review
    Likelihood to Renew
    Elastic
    We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
    Incentivized
    Read full review
    Usability
    Elastic
    To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
    Incentivized
    Read full review
    Support Rating
    Elastic
    We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
    Incentivized
    Read full review
    Implementation Rating
    Elastic
    Do not mix data and master roles. Dedicate at least 3 nodes just for Master
    Incentivized
    Read full review
    Alternatives Considered
    Elastic
    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.
    Incentivized
    Read full review
    Return on Investment
    Elastic
    • 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.
    Incentivized
    Read full review
    ScreenShots