A LinkedIn post from ClickHouse highlights new interoperability with Google BigLake, positioning the database to query BigLake’s Iceberg REST catalog directly. The post references a walkthrough by Mark Needham using Google’s public NYC TaxiCab dataset with 1.3 billion rows to demonstrate the integration.
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According to the post, ClickHouse can first query the data remotely via BigLake and then copy it into a local MergeTree table, with reported query performance improving from about two minutes remotely to roughly eight seconds locally. For investors, this suggests ongoing product enhancements aimed at high‑performance analytics across multi‑cloud data lakes, which may strengthen ClickHouse’s competitive stance against other modern data warehouse and lakehouse providers.
The focus on BigLake, Google’s answer to Unity Catalog and AWS Glue, indicates ClickHouse is aligning closely with major cloud ecosystems and emerging catalog standards like Iceberg. This type of integration could expand the platform’s addressable market among enterprises standardizing on Google Cloud while reinforcing ClickHouse’s value proposition in low‑latency analytics on very large datasets.