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Product

AI needs the best-of-breed data stack: Postgres and ClickHouse

AI applications are driving explosive data growth and collapsing the line between transactional and analytical workloads, making the best-of-breed combination of Postgres and ClickHouse — increasingly tied together through CDC, native querying, and observ

Sai Srirampur
Sai Srirampur
Jul 7, 2026 · 10 minutes read
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Engineering

Using ClickHouse as a webhook endpoint with HMAC verification

Mark Needham · Mar 3, 2026
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Engineering

Clone massive tables instantly and experiment safely in ClickHouse

Tom Schreiber · Feb 24, 2026
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Engineering

Getting started with ClickHouse? 13 mistakes and how to avoid them

Dale McDiarmid, Tom Schreiber and Geoff Genz · Feb 20, 2026
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Engineering

Making large Postgres migrations practical: 1TB in 2 hours with PeerDB

Amogh Bharadwaj · Feb 19, 2026
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Engineering

AI-powered migrations from Postgres to ClickHouse

Fiveonefour · Feb 17, 2026
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Engineering

pg_stat_ch: a PostgreSQL extension that exports every metric to ClickHouse

Kaushik Iska · Feb 13, 2026
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Engineering

Is it over for metrics?

Mike Shi · Feb 12, 2026
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Engineering

What's new in ClickStack. January '26.

The ClickStack Team · Feb 11, 2026
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Engineering

ClickHouse Release 26.1

ClickHouse · Feb 11, 2026
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Engineering

ClickPy at 2 Trillion rows: Scaling ingestion and fixing the past

Lionel Palacin · Jan 21, 2026
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Engineering

How ClickHouse makes Top-N queries faster with granule-level data skipping

Tom Schreiber · Jan 19, 2026
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Engineering

ClickHouse Release 25.12

ClickHouse · Jan 14, 2026
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Engineering

ClickHouse projections now behave like true secondary indexes

Tom Schreiber · Jan 13, 2026
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Engineering

Streaming secondary indices: incremental, demand-driven index evaluation

Tom Schreiber · Jan 12, 2026
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Engineering

The Journey to Zero-Copy: How chDB Became the Fastest SQL Engine on Pandas DataFrame

Xiaozhe Yu Auxten Wang · Jan 9, 2026
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