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 most valuable feature for us is the analytics that we can configure and view using Kibana."
"The special text processing features in this solution are very important for me."
"The most valuable features are the data store and the X-pack extension."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"The most valuable features are the ease and speed of the setup."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"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 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."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"We'd like more user-friendly integrations."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"They could improve some of the platform's infrastructure management capabilities."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"Technical support should be faster."
"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 4th 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.