How to Evaluatea Data Product PlatformA Buyer's Checklist Basedon ISG's Framework


Choosing a data product platform involves more than comparing features. It means understanding how well a platform supports the way your organization wants to develop, manage, discover, and use data products.The 2026 ISG Buyers Guide™ for Data Products evaluates 30 software providers across Product Experience and Customer Experience. Its framework covers everything from developing and managing data products to classifying, consuming, and enhancing them with AI.

For teams evaluating platforms, these areas provide a practical checklist.
Here is what to look at.

1. Data Product Development

Can the platform support the full process of creating a data product, beyond ingestion and transformation? Look for capabilities that help teams define business context, add semantic information, establish ownership, and set expectations around quality and usage. A data product should be maintainable and reusable, not a one-off data asset built for a single project.

2. Classification and Discovery

Once data products exist, people need to find and understand them. Look for classification, metadata, search, and discovery capabilities that make it clear what a product contains, what it is intended for, who owns it, and how it relates to other data. Without this information, reusable data products can quickly become another collection of assets that users must navigate manually.

3. Self-Service Consumption

Finding a data product is only useful if people can use it. Evaluate how the platform supports access and consumption across different user groups while keeping governance in place. Self-service should make data easier to access and use without compromising control over who can do what.

4. Data Contracts and Governance

Reusable data products need clear expectations around their structure, meaning, quality, and usage. Data contracts can formalize these expectations between producers and consumers, while metadata and lineage help users understand the data and its context. Observability adds another layer by monitoring characteristics such as validity, timeliness, and completeness.

5. AI-Enabled Capabilities

AI is another area covered by the 2026 ISG Buyers Guide™. When evaluating it, look beyond standalone AI features and consider how they support the data product lifecycle. This can include assistance with classification, development, recommendations, quality checks, and the ongoing management of data products. Focus on where AI reduces manual work or improves how data products are built and maintained, rather than simply checking whether AI features are available.

6. Platform Architecture

Individual features also need to work within an architecture that can support enterprise requirements. ISG evaluates the platform across areas including adaptability, manageability, reliability, and usability. For buyers, this means assessing how well the platform fits existing architectures and processes, how easily it can be managed at scale, and whether it works for both technical and business users.

7. Customer Experience and Business Value

The platform itself is only part of the decision. ISG also evaluates Customer Experience, including how providers support customers and communicate the value of their solutions. When comparing providers, consider onboarding, ongoing support, responsiveness, roadmap transparency, and how they help customers assess total cost of ownership and potential ROI. A platform can offer the right capabilities on paper and still be difficult to implement or operate in practice.

Put The Checklist to Work

Whether you’re preparing an RFP, comparing vendors, or building an internal shortlist, these seven areas help you identify what matters most in a data product platform.

The 2026 ISG Buyers Guide™ for Data Products applies its framework across 30 software providers, assessing product capabilities, platform, and customer experience.

One Data was recognized as a Capability Leader with an 86.2% score for product capabilities. ISG highlighted strengths in data product classification, consumption, management, and the use of AI across the data product lifecycle.

Beyond individual provider assessments, the guide offers a structured basis for understanding the market and making more informed decisions.

WANT TO LEARN MORE?

Ready to evaluate your options?

Download the full ISG Buyers Guide™ to explore the assessment of 30 providers and find the criteria that matter for your platform evaluation.

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