Supported Operating System(s):
About Elasticsearch
EndGame is a cloud-based and on-premise endpoint security solution, which assists medium to large organizations with threat detection and malware attack prevention. Key features include incident tracking, runtime analysis, role-based device access, agent and policy management.
The application allows network administrators to collect and analyze endpoint telemetry data and block intrusions such as exploits, token theft or credential dumping, operating at the lowest level of the system. Engineers can use the dynamic binary instrumentation feature to prevent malicious threats before the execution of code on the device.
EndGame includes an AI-based functionality, which helps users process website content and monito...
101 Reviews of Elasticsearch
Average User Ratings
Overall
4.57 / 5 stars
Ease-of-use
4.0
Value for money
4.5
Customer support
4.0
Functionality
4.5
Likelihood to Recommend
Not likely
Very likely
May 2019
Adam Victor from Liferay, Inc.
Verified Reviewer
Company Size: 501-1,000 employees
Industry: Computer Software
Time Used: Less than 2 years
Review Source: Capterra
Ease-of-use
3.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
May 2019
Best search engine on the market
I work with Elasticsearch as a developer on a daily bases for textual search. It is the greatest tool I've used in years. Really like it.
Pros
It is just the best back end for search engines in the market. A NoSQL database that is trustworthy. Also, it is open source. Incredibly easy to use.
Cons
Mostly for developers: other people would have a hard time with it.
Reasons for Choosing Elasticsearch
Elasticsearch is basically the standard of the market. Much easier to set up, maintain and extend than Solr. And it is an open source software, unlike Algolia.
September 2019
Jim from AristaMD
Company Size: 11-50 employees
Industry: Hospital & Health Care
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
3.0
Functionality
5.0
September 2019
Scale, Features, Functionality.
Excellent. The ELK stack is the foundation of our audit process, and it's held up really well. The installation can be automated, and archiving in the AWS environment works quite well. We have not yet had a problem in scaling resources to match our resource needs. The integrations with logstash, beats and kibana have been excellent, and used to great effect.
Pros
Scale: You can run this from a single server or even co-installed on a database or file server. I wouldn't recommend it, but let's just say it will run in a small box. On the top side, Elasticsearch will run in clusters managing multiple Terabytes of data. Features: Excellent flexibility to absorb multiple types of data sources, and great integration with Logstash and Kibana.
Cons
The upgrades in terms of archived data. This platform changes significantly on an annual basis. If you do a ton of customization, automation, or work with a lot of data, this can be an issue as you will need to update ALL of your data for every upgrade.
Reasons for Choosing Elasticsearch
When starting up we did not want to be harnessed by the cost of analyzing our data output. Elasticsearch had the capacity to handle our data needs at an essentially zero license cost.
April 2021
Matthew from Fidelity Solutions
Verified Reviewer
Company Size: 2-10 employees
Industry: Information Technology and Services
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
4.0
Value for money
5.0
Functionality
5.0
April 2021
Superb search, logging, and analytics platform
Searching a database of parameterized data to provide results to buyers. Ingesting millions of product updates on a daily basis from dozens of distributors. Logging and analyzing user activity for business metrics, system performance, and security. Elasticsearch has been a vital tool for all these use cases.
Pros
Search functionality is our basic need, and Elasticsearch nails it - scalable, fast, efficient. It is also good at logging, aggregation, and analytics when used in combination with the rest of the Elastic stack.
Cons
It's complex and can be a challenge to dial in performance unless you have a really vanilla use case. Docs are light on details and examples, so there is a fair amount of trial and error.
November 2020
SREEHARI from ALTIMEtriK CORP
Company Size: 201-500 employees
Industry: Information Technology and Services
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
3.0
Value for money
4.0
Customer support
4.0
Functionality
4.0
November 2020
Decent Data store but lot of scalable issues
Pros
Its decent search to NOSQL DB and I find it good for content management
Cons
it has scalable and reliability issues. I would not recommend this for your SOR
January 2021
Anonymous
Verified Reviewer
Company Size: 51-200 employees
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
4.0
Value for money
5.0
Customer support
4.0
Functionality
5.0
January 2021
Blazing fast in searching through a lot of data!
I am extremely satisfied with Elasticsearch, its speed & querying capabilities among lots of data amaze me!
Pros
The fact that Elasticsearch offers really efficient & quick querying of data without a compromise on the different range of queries it can support is really awesome, also Elasticsearch can rank matching documents based on matching criteria which is also very useful. Elasticsearch also handles distributed queries very efficiently.
Cons
Reindexing documents can be a real pain if there is a major change in the schema, otherwise no complaints.
Reasons for Choosing Elasticsearch
Elasticsearch has more features, a good user community, and suited our needs better, therefore we selected Elasticsearch.
