IBM Predictive Analytics vs Persistent Data and Analytics comparison

IBM and Persistent Systems are both solutions in the Predictive Analytics category. IBM is ranked #12, while Persistent Systems is ranked #14. IBM holds a 2.2% mindshare in PA, compared to Persistent Systems’s 1.7% mindshare. Additionally, 100% of IBM users are willing to recommend the solution.

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

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142 Comparison Views

100% willing to recommend

Persistent Data and Analytics

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86 Comparison Views

IBM Predictive Analytics

Persistent Data and Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Predictive Analytics and Persistent Data and Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics.

To learn more, read our detailed Predictive Analytics Report (Updated: September 2025).

Buyer's Guide

Predictive Analytics

September 2025

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Helped 868,787 peers since 2012

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 Predictive Analytics

Ranking in Predictive Analytics

12th

Average Rating

7.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Persistent Data and Analytics

Ranking in Predictive Analytics

14th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Predictive Analytics category, the mindshare of IBM Predictive Analytics is 2.2%, up from 0.8% compared to the previous year. The mindshare of Persistent Data and Analytics is 1.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
IBM Predictive Analytics	2.2%
Persistent Data and Analytics	1.7%
Other	96.1%

Predictive Analytics

Featured Reviews

Luigi-Esposito

Head of Digital Consulting at a tech services company with 10,001+ employees

Good prediction capability for marketing purposes, although it needs to be more flexible

I found it very hard to change the algorithm that is used for prediction and I think that this solution can be more flexible. It looks like more of a black box in some cases and there are few ways to intervene and specify actions. Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions. In the next release of this solution, I would like to see better integration with business solutions so that the data can be more easily accessed.

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Comparisons

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Product Reports

Buyer's Guide

Predictive Analytics

September 2025

Download IBM Predictive Analytics product report

Buyer's Guide

Predictive Analytics

September 2025

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Overview

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IBM

Persistent Data and Analytics offers a comprehensive approach to enterprise data management, delivering advanced analytics capabilities tailored for complex business environments.

Persistent Data and Analytics is designed for organizations seeking to leverage data-driven insights. It supports intricate data ecosystems, facilitating seamless integration and processing of vast datasets. With its robust analytics tools, professionals can harness critical data insights to drive strategic decisions. The platform is optimized for scalability, ensuring it grows alongside business demands while providing reliable analytics solutions.

What are the key features of Persistent Data and Analytics?

Data Integration: Combines data from multiple sources for unified analysis.
Advanced Analytics: Offers predictive and prescriptive analytics tools for deeper insights.
Scalability: Grows with business needs, supporting larger data volumes effortlessly.
Real-Time Processing: Delivers immediate data analysis results for time-sensitive decisions.
User-Friendly Dashboard: Simplifies data visualization and interpretation.

What benefits should be considered when evaluating Persistent Data and Analytics?

Enhanced Decision Making: Supports informed strategy formulation.
Increased Productivity: Streamlines data management workflows.
Cost Efficiency: Reduces resource expenditure through optimized analytics processes.
Data Accuracy: Maintains high data quality and consistency.
Competitive Advantage: Identifies trends that inform competitive strategies.

In finance, Persistent Data and Analytics is used for risk management and fraud detection, leveraging predictive analytics. In healthcare, it supports patient data management and operational efficiency improvements. Its adaptability extends to retail where customer analytics and supply chain optimization are crucial.

Persistent Systems

Sample Customers

Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.

Cisco

Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics. Updated: September 2025.

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868,787 professionals have used our research since 2012.

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We monitor all Predictive Analytics 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.