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."You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"The UI is very nice, and performance wise it's quite good too."
"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 is the out of the box Kibana."
"The initial setup is very easy for small environments."
"The solution has great scalability."
"A nonstructured database that can manage large amounts of nonstructured data."
"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."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"Technical support should be faster."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"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)."
"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."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"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.
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