We performed a comparison between Elastic Search and Exalead based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search."The AI-based attribute tagging is a valuable feature."
"It is easy to scale with the cluster node model."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"The search speed is most valuable and important."
"The solution is valuable for log analytics."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"I find the indexing feature the most valuable."
"The GUI is the part of the program which has the most room for improvement."
"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."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"Could have more open source tools and testing."
"There are challenges with performance management and scalability."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"I would like to see more integration for the solution with different platforms."
"They could improve some of the platform's infrastructure management capabilities."
"The scalability of the solution is a problem."
Earn 20 points
Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Exalead is ranked 9th in Indexing and Search. Elastic Search is rated 8.2, while Exalead is rated 6.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Exalead writes "The indexing feature is handy but the user interface and support can be better". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Weaviate, whereas Exalead is most compared with .
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