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Contrasting Data Mesh and Data Fabric

Sahil Babbar makes a comparison:

The concept of a data mesh proposes that each business domain takes charge of hosting, preparing, and delivering its own data to both its internal team and broader stakeholders. This decentralized approach empowers autonomous data teams to take full ownership and accountability for their data products and management processes.

Data fabric is a system designed to help a company manage and use its data from various storage types, like databases, tagged files, or document stores. It supports different tools and applications to easily access this data, working with technologies like Apache Kafka for real-time data streaming, ODBC for database connections, HDFS for big data storage and REST APIs for web services. It focuses on creating a unified data environment that acts as a reliable, centralized source for all organizational data. This setup ensures data is accurate, consistent, and secure, making it easy for different teams to access and manage data efficiently.

Read on to learn a bit more about the two architectures.