We performed a comparison between Elastic Search and OpenText IDOL based on real PeerSpot user reviews.
Find out in this report how the two Indexing and Search solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The search speed is most valuable and important."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"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 is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"The solution is quite scalable and this is one of its advantages."
"The most valuable features are the data store and the X-pack extension."
"The UI is very nice, and performance wise it's quite good too."
"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."
"This product could be improved with additional security, and the addition of support for machine learning devices."
"The different applications need to be individually deployed."
"I would like to see more integration for the solution with different platforms."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"Improving machine learning capabilities would be beneficial."
"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, Pinecone, Azure Search and Weaviate, whereas OpenText IDOL is most compared with Lucene. See our Elastic Search vs. OpenText IDOL report.
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.
