How to remain competitive in the AI era of software engineering
ClickStack now supports Role-Based Access Control, giving teams precise control over who can access dashboards, searches, and notebooks. With flexible roles, fine-grained permissions, and seamless ClickHouse Cloud integration.
Padlet uses ClickHouse Cloud to deliver real-time classroom analytics at scale, supporting billions of events per month with sub-second queries and no dedicated data team.
Agents need real-time ingestion, fast aggregation, flexible handling of semi-structured events, low-latency concurrency, and economics that still work at massive scale. ClickHouse already has this foundation
Ten best practices for getting the most out of ClickHouse, from primary key design and data types to materialized views, ReplacingMergeTree, and join optimization — illustrated with benchmarks on a 150M row dataset.
ClickHouse now supports direct querying of Iceberg and Delta Lake formats across major cloud catalogs without requiring data migration.
How ClickHouse Cloud's two-window recommender and target-tracking CPU algorithm cut scale-down latency from 30 hours to 3 hours while eliminating oscillations and reducing infrastructure costs.
ClickHouse Cloud's new monitoring capabilities give platform administrators deeper visibility into their deployments, with a unified Overview page, infrastructure scaling insights, and automatic email and Slack notifications for common issues.
Learn how to send structured .NET logs directly to ClickHouse using Serilog — with full schema control, full-text search, and SQL queries over your log data.
High-performance full-text search, even on object storage. This deep dive from the ClickHouse engineers explains the new text index design and how it keeps queries fast at scale.
How to query datetime columns in ClickHouse - from hourly bucketing to rush hour analysis with real taxi data.
The latest changes to the JSON data type in v25.8 make ClickHouse the leader in analytics over JSON data.
"The key thing that ClickHouse unlocks for AI is speed. Everything we do needs to be done at machine speed to counter AI-enabled attackers.” Karan Gugle, Founding Engineer
Welcome to the March 2026 ClickHouse newsletter, which will round up what’s happened in real-time data warehouses over the last month.
ClickHouse is fast by design, but raw database speed isn't enough. This post explores how ClickStack tightly integrates with ClickHouse to generate optimized queries — from progressive time window pagination and chunked charts to automatic use of materi
AI-native observability notebooks for Managed ClickStack let engineers investigate logs, metrics, and traces with AI as a collaborator — keeping humans in control at every step.
Socialpruf migrated from Neon to Postgres managed by ClickHouse, eliminating network transfer costs and achieving up to 5x faster query performance while powering real-time social analytics dashboards that aggregate millions of rows in milliseconds.
AI is reshaping database market requirements across real-time analytics, data warehousing, and observability — and ClickHouse is uniquely positioned to meet them.
clickhouse-connect v0.12.0 ships a ground-up async-native Python client using the half-sync/half-async pattern, delivering 1.16x better throughput and dramatically more stable tail latency under high concurrency.
ClickHouse 26.2 is here! In this post, text-index and QBit data type become production-ready.