AI needs the best-of-breed data stack: Postgres and ClickHouse
Blog post from ClickHouse
AI-driven applications are transforming database demands by necessitating real-time transactional and analytical processing, which has led to a growing reliance on Postgres and ClickHouse as a complementary pair of databases. This shift is driven by AI's need to handle massive data volumes and provide immediate insights, requiring a seamless integration between OLTP and OLAP systems. The open-source nature of Postgres and ClickHouse, coupled with their strong communities and proven capabilities, makes them increasingly popular among AI-native companies and enterprises. These databases are being enhanced with tools like PeerDB for Change Data Capture and the pg_clickhouse extension to ensure rapid data replication and efficient query handling. The partnership between Postgres and ClickHouse exemplifies a best-of-breed approach, offering a unified and robust data stack that meets the high concurrency and low-latency demands of modern AI applications, while avoiding the pitfalls of proprietary platform lock-ins.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 11 | 6,576 | 1,504 | 250 | +1% |
| LLM | 2 | 7,768 | 1,386 | 254 | +13% |
| Observability | 2 | 4,209 | 836 | 203 | -6% |
| Data Pipeline | 1 | 663 | 210 | 80 | +12% |
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