Elastic Search vs OpenText IDOL comparison

Cancel
You must select at least 2 products to compare!
Elastic Logo
2,186 views|735 comparisons
98% willing to recommend
OpenText Logo
360 views|214 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Indexing and Search Report (Updated: March 2024).
768,886 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

More Elastic Search Pros →

"IDOL has several important visual analytics, like face recognition and object detection and recognition."

More OpenText IDOL Pros →

Cons
"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."

More Elastic Search Cons →

"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."

More OpenText IDOL Cons →

Pricing and Cost Advice
  • "ELK has been considered as an alternative to Splunk to reduce licensing costs."
  • "An X-Pack license is more affordable than Splunk."
  • "​The pricing and license model are clear: node-based model."
  • "This is a free, open source software (FOSS) tool, which means no cost on the front-end. There are no free lunches in this world though. Technical skill to implement and support are costly on the back-end with ELK, whether you train/hire internally or go for premium services from Elastic."
  • "We are using the free version and intend to upgrade."
  • "It can be expensive."
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • More Elastic Search Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Indexing and Search solutions are best for your needs.
    768,886 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time… more »
    Top Answer: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… more »
    Top Answer:IDOL has several important visual analytics, like face recognition and object detection and recognition.
    Top Answer:If I am not wrong, IDOL is working to release improvements in new capabilities in the next six months. There is room for improvement in some very important capabilities in visual analytics. They have… more »
    Top Answer:IDOL is primarily used in related artificial intelligence solutions, for example in global. It is also used for insight from unstructured, rich media content. We are currently recording and getting… more »
    Ranking
    1st
    out of 25 in Indexing and Search
    Views
    2,186
    Comparisons
    735
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    3rd
    out of 25 in Indexing and Search
    Views
    360
    Comparisons
    214
    Reviews
    1
    Average Words per Review
    420
    Rating
    8.0
    Comparisons
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL
    Learn More
    Overview

    Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.

    Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.

    Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.

    At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.

    Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.

    In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.

    The IDOL Server collects indexed data from connectors and stores it in its proprietary structure, optimized for fast processing and retrieval of data.
    Sample Customers
    T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
    Bank Simpanan Nasional, Felco
    Top Industries
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Manufacturing Company7%
    Government7%
    VISITORS READING REVIEWS
    Government15%
    Outsourcing Company11%
    Manufacturing Company11%
    Real Estate/Law Firm9%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise65%
    Buyer's Guide
    Indexing and Search
    March 2024
    Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search. Updated: March 2024.
    768,886 professionals have used our research since 2012.

    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.