According to a recent LinkedIn post from ClickHouse, the company is drawing attention to new interoperability between its database and Google BigLake, positioned as Google’s response to Unity Catalog and AWS Glue. The post references a technical walkthrough that demonstrates querying Google’s public NYC TaxiCab dataset, with 1.3 billion rows, directly from ClickHouse via BigLake’s Iceberg REST catalog.
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The LinkedIn post highlights a comparison between remote querying and copying data locally into ClickHouse’s MergeTree storage. In the example cited, a remote query reportedly takes about two minutes, while a local MergeTree copy is shown at roughly eight seconds, alongside visibility into Iceberg snapshot history as the table is built commit by commit.
For investors, this content suggests ClickHouse is emphasizing performance and flexibility in multi-cloud and lakehouse environments, integrating with a major hyperscaler’s data catalog. Stronger alignment with Google Cloud’s BigLake ecosystem could expand ClickHouse’s addressable market among data engineering and analytics teams seeking low-latency querying on large public and enterprise datasets.
If these performance characteristics generalize beyond the showcased benchmark, they may strengthen ClickHouse’s competitive positioning versus other analytics databases and query engines that sit atop data lakes. Over time, tighter integration with tools analogous to Unity Catalog and AWS Glue could support higher adoption in enterprise workloads, potentially contributing to usage-based revenue growth and deeper cloud partnerships.