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.
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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.
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 …
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 …
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 …
Verified User
Technician
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 …
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 …
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 …
Team Lead Xactimate Online Xactware Solutions, Inc
Chose Elasticsearch
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 …