Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Postgres can serve as the durable state store ...

Context becomes leverage when an application can connect current data, relationships, history and permissions in real time to ...

Learn how this architecture delivers zero shared fate by design, predictable sub-millisecond storage I/O, and true zero-to-thousands compute scaling.

Discover why PostgreSQL remains a trusted foundation for AI applications, combining decades of reliability with extensibility ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...

Business leaders often frame the role of data architectures around competitiveness, scalability and efficiency. But those benefits no longer capture its most critical role: Risk management. Today, ...

Today’s big data technology stack includes databases, data management and integration software, and data analytics tools – all critical components of an effective operational or analytical data system ...

Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data. Its goal is to ensure that data is ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...