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 solution is easy to use and to start with."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"The initial setup is straightforward."
"A non-tech person can easily get used to it."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"The UI is very nice, and performance wise it's quite good too."
"Data indexing of historical data is the most beneficial feature of the product."
"The most valuable features are the ease and speed of the setup."
"The AI-based attribute tagging is a valuable feature."
"The tool's stability and performance are good."
"The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"The solution is stable and reliable."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"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."
"The documentation of the tool could be improved"
"The user interface could be more intuitive and explanatory."
"Maybe they could make it more user-friendly."
"From my experience, Coralogix has horrible Terraform providers."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"There are some features lacking in ELK Elasticsearch."
"There is an index issue in which the data starts to crash as it increases."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"The UI point of view is not very powerful because it is dependent on Kibana."
"Machine learning on search needs improvement."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release."
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 and Azure Search.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
