Postgres and ClickHouse forming the default data stack for AI (thenewstack.io)

Postgres and ClickHouse are emerging as the go-to open-source data stack for scaling AI-driven applications, addressing the rapid growth and analytical demands placed on traditional databases. Postgres is praised for its reliability and versatility in handling transactional workloads, but as applications evolve, particularly in the AI space, it often hits performance limits much more quickly due to accelerated data processing needs. To counter this, developers are pairing Postgres with ClickHouse, which excels at analytical queries, allowing each database to operate within its strengths. The integration challenges between the two systems are being tackled with innovative approaches, including dual-write and change data capture (CDC) strategies. These patterns facilitate efficient data distribution while ensuring that applications can query the right database for their needs. The growing ecosystem around this architecture, bolstered by tools like PeerDB and ClickHouse FDWs, enables teams to manage large-scale data analytics effectively without compromising their existing Postgres workflows. As this combined stack gains traction, it suggests a future where using Postgres and ClickHouse together becomes the standard for new projects, ensuring that technical scalability aligns with the rapid development cycles driven by AI.