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."The products comes with REST APIs."
"The most valuable features are its user-friendly interface and seamless navigation."
"It is easy to scale with the cluster node model."
"The initial setup is very easy for small environments."
"Dashboard is very customizable."
"The solution is quite scalable and this is one of its advantages."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"There are some features lacking in ELK Elasticsearch."
"I would like to be able to do correlations between multiple indexes."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"Improving machine learning capabilities would be beneficial."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"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)."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"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.