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Elasticsearch Overall Review
December 29, 2023

Elasticsearch Overall Review

John Anderson | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Elasticsearch

We use Elasticsearch to analyze and visualize logs from various Engineering workflows. We have clusters defined for providing Application Performance Monitoring for a variety of Engineering applications, utilizing Beats and other processes to populate the data required for monitoring and analysis. We also capture metrics (for both servers and applications).
  • Log and data capture, via Beats
  • Visualization of data
  • Application monitoring
  • Some of the cluster management functions could be more intuitive.
  • It would be nice if it could be used for large data sets (streaming data)
  • Troubleshooting could be easier.
  • Elasticsearch provides a convenient way to analyze data from various data sources.
  • Visualizations from data analysis provide easy guidance to management.
  • Elasticsearch reduces overall IT/Administrative costs
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 each organization try out the trial versions of all of these applications and determine for yourself which is the best fit for your enterprise and use cases.

Do you think Elasticsearch delivers good value for the price?

Yes

Are you happy with Elasticsearch's feature set?

Yes

Did Elasticsearch live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Elasticsearch go as expected?

I wasn't involved with the implementation phase

Would you buy Elasticsearch again?

Yes

As stated before, it does a good job of providing analysis and visualization on data coming into the system, but troubleshooting could be better (when issues arise). Performance, scalability, and overall speed are good, but the trade-off is it can be resource-intensive. Overall a good tool, it just takes a bit to learn (it's not always as "intuitive" as it should be).