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 | 2,883 | 708 | 173 | -49% |
| LLM | 2 | 3,751 | 612 | 168 | -39% |
| Observability | 2 | 1,844 | 344 | 128 | -56% |
| Data Pipeline | 1 | 215 | 103 | 51 | -57% |
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