Elasticsearch Reviews

Naushad A.SDE II

4.0

Easy to integrate. Review collected by and hosted on G2.com.

Jyothi Swaroop L.Associate Developer

4.0

I like one of the best features of the elastic observabilty is the elastic search, which I really enjoyed. This facilitates a rapid search for the necessary logs and provides a wide range of filter options for querying to extract the necessary data from the logs. Review collected by and hosted on G2.com.

enol .Founder

4.5

Elastic defined all the standarts on this observability stack. Review collected by and hosted on G2.com.

Verified User in Computer SoftwareEnterprise(> 1000 emp.)

0.0

Configuration is difficult to get right because of a lack of proper documentation. Review collected by and hosted on G2.com.

Verified User in RetailEnterprise(> 1000 emp.)

1.5

The main problem is that when it goes down there is no time frame of when it will be back up. We have called and called support and it has now been over 4 months that it has been down and we are unable to use it. We need it especially when there is an issue because its the best way for us to pull the data but when we can't use it that is a huge problem. Why pay for something that we can't even use. Review collected by and hosted on G2.com.

Parker R.Front-end Engineer

2.0

* The scrolling fixed position CSS they do is also quite annoying. Review collected by and hosted on G2.com.

Anonymous ReviewerComputer Software

5.0

Using elastic stack I can easily track my application logs.

Anonymous ReviewerComputer Software

5.0

Elastic search is very fast, it returns the results within a few milliseconds. We can connect Logstash and Kibana very easily with Elastic.The filters in Kibana are very good. We can sort the data as needed.

Anonymous ReviewerComputer Software

5.0

I mostly like the Elastic Search queries. Those follow a certain standard and work very well. Data retrieval is very easy and fast in Elastic Search.Visualizing data thru Kibana is very smooth and straightforward. It supports a couple of inbuilt dashboards to represent the data nicely.

Victor Luis G.

3.0

Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.

Anonymous ReviewerAutomotive

4.0

The multiple versions of API and multiple possible format make it quite hard to get the correct one - mostly when a new release is out and user is pushed to use it - without proper support.

Anonymous ReviewerComputer & Network Security

4.0

Pattern-matching needs to be more user-friendly, it would be best if they were able to leverage conventional regex usage instead of their custom format. Elastic RegExp queries must match the entire string and take a bit of learning, see here for syntax documentation: [SENSITIVE CONTENT]

Aaron GussmanSenior Technologist

10.0

We use ElasticSearch for multiple projects across our company, everything from development proof-of-concept efforts to large production systems supporting real-time data ingestion and multiple simultaneous users. ElasticSearch is our go-to data storage solution for anything requiring a responsive web interface. While it's full text search capabilities are its most often touted feature, we get more use out of its rapid search aggregations (formerly facets) and its scalability for large data sets.
Store large numbers of documents in a redundant, distributed fashion across multiple hosts. It handles sharding out of the box with a minimal amount of configuration. Extensive search capabilities, particularly full text search. It also supports aggregations/facets and geospatial searching. Native REST API is great for web applicaitons.

Verified UserProfessional

10.0

We use Elasticsearch in our Web-Payment Fraud and Security Solution. We index every Http Request Response message of our customers' eBanking applications to analyze for fraud/malware/security threats. We then provide flexible and robust analytics on their data including free text search, reporting and real time data insights.
Free text search. Query String Query is totally awesome and allows complex search in real time. Very scalable and highly configurable, there is no scalability problem we couldn't solve. Aggregations are great for analytics and we utilize them in our proprietary reporting tool.

Shannon DonohueDevOps and Carrier Engineer

10.0

We use Elasticsearch in tandem with Logstash and Kibana, in order to graph trends through log line analysis. The tool has become invaluable as we can peer into data on a deeper level, and set up alerts if there is a high frequency of errors. This becomes useful to study how changes positively or negatively impact production.
Consolidate data Searchable Graphable

Verifizierter RezensentVerifizierter Nutzer auf LinkedIn

5.0

Elastic Stack is a powerful platform which allows you to quickly search and query on the data even if the data is in huge volume, thanks to its distributed computing and storage. it has enabled me to develop an application which fetches results from TBs of data in seconds.

Verifizierter RezensentVerifizierter Nutzer auf LinkedIn

5.0

Overall I am happy with my decision to choose Elastic Stack. It is completely fulfilling my requirements without any issues.Kibana works very well even with a lot of data.

AndreasSystem Administrator in Deutschland

4.0

Der Elastic Stack mit 15 Nodes betreiben wir OnPrem als zentrales Logfile-Monitoring fr unzhlige Systeme.

MoDevOps Architect in USA

5.0

Organizing chat data to be searchable and log management to proactively fix issues.

Victor Luisstudent in Venezuela

3.0

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