We performed a comparison between Elastic Search and OpenText IDOL based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search."Data indexing of historical data is the most beneficial feature of the product."
"The most valuable features are the data store and the X-pack extension."
"The most valuable feature is the out of the box Kibana."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"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."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"The solution has good security features. I have been happy with the dashboards and interface."
"The solution is quite scalable and this is one of its advantages."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"The metadata gets stored along with indexes and isn't queryable."
"The reports could improve."
"It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx)."
"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 some features lacking in ELK Elasticsearch."
"Improving machine learning capabilities would be beneficial."
"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 the report templates."
"There is room for improvement in some very important capabilities in visual analytics. They have been focusing on improving the face recognition algorithm. The accuracy of object detection could be improved as well and I know they are working on that at the moment."
Elastic Search is ranked 1st in Indexing and Search with 59 reviews while OpenText IDOL is ranked 3rd in Indexing and Search with 5 reviews. Elastic Search is rated 8.2, while OpenText IDOL is rated 8.4. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of OpenText IDOL writes "Scales linearly and vertically; primarily used in AI". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Qdrant, whereas OpenText IDOL is most compared with Lucene and Google Search Appliance.
See our list of best Indexing and Search vendors.
We monitor all Indexing and Search 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.