12 verified briefings on Clickhouse. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
A software engineer used GitHub Copilot, Claude, and Gemini to find security vulnerabilities in the ClickHouse codebase. This practical case study shows how AI can help developers without deep security expertise improve software security.
ClickHouse has released Silk, a new open-source C++ runtime. It uses advanced techniques to dramatically lower query latency and improve performance, making the database more efficient for demanding workloads.
Visa built a conversational AI agent using ClickHouse and LibreChat to analyze payments data. The new system turns multi-day reporting tasks into sub-second queries, saving each user up to 10 hours of work every week.
A new guide breaks down the complex billing models of five major cloud data warehouses: Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift. It explains how each platform meters and bills for compute, helping engineering teams compare costs and make informed architectural decisions for their data infrastructure.
ClickHouse has significantly improved its data join performance, achieving a 26x speed increase on a standard benchmark. This was the result of a two-year engineering effort focused on parallel hash joins, runtime filters, lazy column replication, and smarter query planning for complex analytical queries.
ClickHouse Cloud has launched executable user-defined functions (UDFs) in public beta. This feature allows developers and data engineers to write functions in Python, upload them to a cluster, and call them directly from SQL queries, simplifying complex data processing and machine learning workflows.
ClickHouse has announced major updates to its observability platform, ClickStack. The new releases include ClickStack Cloud in private preview, AI-powered Notebooks in beta, and a new MCP server. These changes aim to simplify setup, improve investigation, and enhance the platform's composability for developers and IT teams.
ClickHouse announced several major updates at its Open House 2026 event. Key developments include deeper integration with Postgres, new data ingestion tools called ClickPipes and ClickHouse Agents, and a partnership with Langfuse for LLM observability. The updates aim to simplify real-time data analytics.
ClickHouse has introduced ClickStack Cloud, a new serverless observability platform. It's a fully managed service built on the ClickHouse database, designed to handle logs, metrics, and traces. The platform uses a managed endpoint for OpenTelemetry data, allowing teams to analyze systems without managing infrastructure.
Database company ClickHouse shared its year-long experience using AI coding agents. The team developed a practical framework to determine when agents are genuinely useful versus when traditional coding is better, moving beyond the general hype to offer specific, real-world guidance for engineering teams.
The open-source tracing tool Jaeger now supports the ClickHouse database. This new integration is designed for large-scale telemetry, offering significant performance gains. In one test, it achieved an 8.6x compression rate on 10 million spans, helping teams better manage and store observability data.
AI brand discovery platform ChatFeatured migrated its analytics database from PlanetScale Postgres to a Postgres-compatible service managed by ClickHouse. The switch, completed in 30 minutes, reduced complex query times from 2.5 minutes to under one second, significantly improving performance for its AI-powered features.