Question: Is there a platform that provides a unified data fabric and supports data quality and governance?

If you're looking for a platform that provides a unified data fabric and strong data quality and governance capabilities, Qlik could be a great option. Qlik offers a broad portfolio of data integration, analytics and AI solutions. Its data fabric is rich with insights through end-to-end data integration and analytics. With data streaming, application and API integration, data lake creation and data quality and governance, Qlik supports a broad range of integrations and connectors, making it suitable for a variety of industries and roles.

Databricks is another top contender. It uses generative AI to integrate data, analytics and governance so customers can build and run AI applications directly against their data while keeping control and privacy. With support for ETL, data ingestion, business intelligence and AI, Databricks is built on lakehouse architecture for open, scalable and unified data management. It offers a free trial for customers to try it out.

If you're looking for a cloud-based, AI-powered option, Informatica is another option. It integrates, manages and unifies data across multi-cloud and hybrid environments, using its CLAIRE AI engine to automate data integration tasks. Informatica's platform includes data catalog, integration and governance, so it's a good fit for companies trying to modernize their data management and get their data ready for AI.

Last, Collibra offers a variety of data management tools, including AI Governance, Data Catalog and Data Governance. It offers features like data quality monitoring, pipeline reliability tracking and data discovery and curation to help increase productivity by automating data workflows and giving a single view of data assets across the organization. Collibra is highly scalable and flexible, supporting a variety of use cases, including data analytics and AI model development. A 20-day free trial of its Data Quality & Observability tool is available.