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]

Verified UserProfessional

10.0

We utilize Elasticsearch (with Kibana and Logstash) to provide log management services internally and as an offering to our IT clients. This helps clients meet compliance regulations requiring log review and SIEM implementation without paying the premium at other high-end products. In essence, Elasticsearch allows us and our clients on the platform to gain greater visibility into their applications and endpoints.
Elasticsearch has a great ecosystem and user base. Elasticsearch is easy to use and set up (once you have the basic training). The document/searching focused feature of the database is perfect for log management (or any searching) application.

Gary DavisDirector

10.0

Elasticsearch is used on our B2B and B2C eCommerce websites to provide fast and powerful search capabilities for products. Search by title, artist, or various facets like genre, price-range and availability-date results in a list of products that the user can then drill down or continue searching within the result list. Within the organization, Elasticsearch is used by the programmers in the IT department.
Search results are provided very quickly. The search results are accurate. Search results contain details on the accuracy of each hit.

Verified UserTeam Lead

10.0

The way we set it up usually for our customers, Elasticsearch improves developer velocity by allowing to quickly search through millions of log messages. It is usually used by the development and operations team.
Log handing Full-text search

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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