Data intelligence and data products are evolving from traditional cataloging and project-based data delivery toward governed, reusable assets designed for self-service consumption. Enterprises increasingly need to understand how data is produced, consumed and governed while applying product thinking to improve discoverability, trust and reuse. Knowledge graphs, data contracts, observability, domain ownership and agent-driven automation are strengthening data democratization and the delivery of data as a product.
Software Provider Summary
The ISG Buyers Guide™ for Data Intelligence and Data Products evaluates 16 software providers offering products that support data intelligence, including data discovery and data governance, as well as data product development, consumption and management. The research ranked the top three overall as Databricks, Pentaho and Actian. Alation, Databricks, IBM and Pentaho were rated Exemplary, with Actian, Microsoft, Qlik and Salesforce rated Innovative. AWS, Collibra, Google Cloud and SAP were rated as providers of Assurance, and Ataccama, Atlan, Quest and Snowflake were rated providers of Merit. Actian, Salesforce and AWS were identified as Leaders for Data Intelligence, while Databricks, Alteryx and Domo were identified as Leaders for Data Products.
Product Experience Insights
Product Experience, representing 80% of the evaluation, focuses on Capability (50%) and Platform (30%), including adaptability, manageability, reliability and usability. Databricks, Pentaho and Actian were the Product Experience Leaders. Performance reflects differentiated requirements spanning data inventory and lineage, metadata management, data quality insights, data product development and consumption, and AI for data intelligence and data products.
Customer Experience Value
Customer Experience, representing 20% of the evaluation, focuses on validation and TCO/ROI. AWS, IBM and Google Cloud were the Customer Experience Leaders and best communicate commitment and dedication to customer needs. Providers with lower performance may lack sufficient information demonstrating customer success, customer commitment or TCO/ROI value.
Strategic Recommendations
Enterprises should evaluate data intelligence and data product platforms based on the ability to support governed self-service access and reusable data assets. Assessment should prioritize data discovery and lineage, metadata management, data quality, data product lifecycle management, data contracts and observability. Organizations should also evaluate knowledge graph and AI capabilities, including agent-driven automation, while ensuring clear ownership, interoperability and transparency across data producers and consumers.
The software providers and products evaluated in this research offer product and customer experiences, but not every feature is equally valuable to every enterprise or is needed to support the relevant business processes and use cases. Moreover, having too many product capabilities may be a negative factor for an enterprise if it introduces unnecessary complexity. Nonetheless, you may decide that a more comprehensive set of capabilities is important and meets your enterprise’s requirements.
An effective customer relationship with a software provider is vital to the success of any investment. The overall customer experience and the full lifecycle of engagement play a key role in ensuring satisfaction and long-term success. Providers with dedicated customer leadership, such as chief customer officers, tend to invest more deeply in these relationships and prioritize customer outcomes in line with TCO and ROI expectations. It is equally important that this commitment to customer success is evident throughout the
The research finds Databricks atop the list, followed by Pentaho and Actian. Providers that place in the top three of a category earn the designation of Leader. Actian, Databricks and Pentaho have done so in three categories; AWS in two; and Google Cloud, IBM, Microsoft and Quest in one category.