Andy Pavlo Joins ClickHouse to Establish ClickHouse Labs

4 hours ago

Andy Pavlo, a professor from Carnegie Mellon, is joining ClickHouse to establish and lead a new research group called ClickHouse Labs.
He has followed ClickHouse development since its open-source release in 2016, noting its advanced features like SIMD vectorized execution.
ClickHouse Labs aims to be a best-in-class industry research organization that collaborates closely with engineering, customers, and partners to keep ClickHouse at the bleeding edge.
The lab will also work with ClickHouse's PostgreSQL team to improve performance and reliability for managed services.
Research will focus on scientific value and transforming ideas into technology, aiming for impact similar to IBM Research and Microsoft Research.
Immediate priorities include accelerating validation of ideas already explored by ClickHouse engineers and pushing them into production.
A key long-term question is how DBMSs like ClickHouse and PostgreSQL fit into emerging AI and agentic technologies, investigating both DBMS support for agents and agents improving DBMS development.

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The Department of Energy, Cleveland Clinic, and IBM are simulating molten salts to address the fusion fuel dilemma, focusing on tritium production.
Software engineers can earn high salaries at fast-growing companies, but AI's impact on the tech business is complex and varied.
Microsoft is restructuring its commercial and Xbox teams, acknowledging rapid global changes and the need to avoid complacency.

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SambaNova's AI chip platform boosts the performance of older Nvidia GPUs, achieving high speeds in AI benchmarks.

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SoftBank enters the GPU rental market to support AI training, leveraging its large US server farm infrastructure.

The Department of Energy, Cleveland Clinic, and IBM are simulating molten salts to address the tritium fuel challenge in fusion energy.
AI's impact on tech businesses is complex, with software engineers still earning high salaries at fast-growing companies despite AI advancements.
Microsoft is restructuring its commercial and Xbox teams, acknowledging rapid global changes and the need to adapt beyond longevity.

Logs are consistently the worst part of observability work due to volume, schema drift, and conflicting expectations between developers and non-technical consumers.
ClickHouse's columnar storage allows queries to read only relevant columns, significantly reducing I/O and enabling 10–14x compression on observability data.
At 1 TB/day, all major observability stacks (Elasticsearch, LGTM, Datadog, ClickHouse) are comparable in complexity and cost.

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