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IBM StoredIQ vs Lucene comparison

IBM and Apache are both solutions in the Indexing and Search category. IBM is ranked #19, while Apache is ranked #10. IBM holds a 1.9% mindshare in IS, compared to Apache’s 4.5% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Apache users who would recommend it.
IBM StoredIQ
Read 1 IBM StoredIQ review
  • 294 Views
  • 85 Comparison Views
100% willing to recommend
Lucene
Read 1 Lucene review
  • 237 Views
  • 235 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between IBM StoredIQ and Lucene based on real PeerSpot user reviews.

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To learn more, read our detailed Indexing and Search Report (Updated: December 2025).
Buyer's Guide
Indexing and Search
December 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM StoredIQ
Ranking in Indexing and Search
19th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
eDiscovery (22nd)
Lucene
Ranking in Indexing and Search
10th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2025, in the Indexing and Search category, the mindshare of IBM StoredIQ is 1.9%, up from 0.1% compared to the previous year. The mindshare of Lucene is 4.5%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search Market Share Distribution
ProductMarket Share (%)
Lucene4.5%
IBM StoredIQ1.9%
Other93.6%
Indexing and Search
 

Featured Reviews

GB
Giuseppe-Barillari
Delivery Manager at Gesel
Helps with GDPR compliance through data discovery and management
We knew that we have a lot of scanned docs inside our repositories, but there was a big issue where we needed to know which content was really an image. Because of the OCR made at runtime during the scan, now we know exactly the data we have. When you have zipped documents the scan will unzip them and find the data inside.
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it_user1158 - PeerSpot reviewer
it_user1158
Developer at a tech company with 51-200 employees
One of the best open source date indexing tools available, with support for various popular file formats like PDF, HTML, etc.
- For Java users, there is a performance penalty due to the well known fact that JVM(Java Virtual Memory) is a memory hogger. Scalability is an issue as well. - If you have a requirement of adding custom algorithms for indexing data, you might face a little difficulty, as there is not much information available either in Lucene forums or mailing lists. Though community support is excellent for Java users, for other area specific Programming Platforms like Perl, and Delphi, it is a bit difficult to get solutions for your problems, as the tool is still not that stable in these platforms and is still in the incubation phase.
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Comparisons

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Compared 54% of the time
Microsoft FAST vs Lucene Logo
Microsoft FAST vs Lucene
Compared 46% of the time
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Product Reports

Buyer's Guide
Indexing and Search
December 2025
IBM StoredIQ reportDownload IBM StoredIQ product report
Buyer's Guide
Indexing and Search
December 2025
Lucene reportDownload Lucene product report
 

Overview

IBM StoredIQ addresses the problems that challenge records management, electronic discovery, compliance, storage optimization and data migration initiatives. By providing an in-depth assessment of unstructured data where it resides, the software gives organizations visibility into data to make more informed business and legal decisions.

IBM
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology.
Apache
 

Sample Customers

J.B. Hunt Transport, BBVA Compass
Bloomberg, Salesforce, Bank of America, AT&T, SAP, JP Morgan Chase, Capital One, DirecTV, Boeing, Monsanto, Warner Bros, The Walt Disney Company, Goldman Sachs, Fiat Chrysler Automobiles, BlackRock
Buyer's Guide
Indexing and Search
December 2025
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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.