We performed a comparison between Coralogix and Elastic Search based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."The solution offers very good convenience filtering."
"The initial setup is straightforward."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"A non-tech person can easily get used to it."
"The solution is easy to use and to start with."
"The AI-based attribute tagging is a valuable feature."
"The solution offers good stability."
"The solution has good security features. I have been happy with the dashboards and interface."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"Implementing the main requirements regarding my support portal."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"Maybe they could make it more user-friendly."
"From my experience, Coralogix has horrible Terraform providers."
"The documentation of the tool could be improved"
"The user interface could be more intuitive and explanatory."
"We have an issue with the volume of data that we can handle."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"There are challenges with performance management and scalability."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
Coralogix is ranked 26th in Application Performance Monitoring (APM) and Observability with 7 reviews while Elastic Search is ranked 1st in Indexing and Search with 59 reviews. Coralogix is rated 8.4, while Elastic Search is rated 8.2. The top reviewer of Coralogix writes "Good capabilities, has a helpful interface and is straightforward to set up". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Logz.io, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra.
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