ClickHouse, for analytics at real scale.
ClickHouse is what we reach for when a normal database starts to strain — billions of rows, dashboards that need to stay fast, and queries that scan more than they look up. It's a columnar engine built for exactly that, and it changes what "fast" means for reporting.
Where ClickHouse earns its place in the stack.
Real-time dashboards & reporting
Sub-second aggregation over billions of rows means dashboards that stay fast as data grows, instead of getting slower every quarter.
Event & log analytics
Clickstream, telemetry, application logs — high-volume event data lands naturally in ClickHouse and stays queryable, not just stored.
Data warehousing at scale
Where a transactional database starts to strain under analytical load, ClickHouse sits alongside it as the engine built specifically for that job.
High-throughput ingestion
Built to take a constant stream of writes without falling over — batched inserts at volumes that would choke a row-oriented database.
Built for the queries that hurt everywhere else.
Most databases are built to find one row fast. ClickHouse is built to scan millions of them fast — a different problem, and one that most general-purpose databases were never designed to solve.
We reach for it specifically when a reporting or analytics workload is starting to dominate a system it was never meant to carry, and moving that workload onto the right engine turns a painful query into a genuinely fast one.
Built for scan-heavy queries
Columnar storage means a query that touches three columns out of thirty only reads three columns — not the whole row. That's where the speed comes from.
Scales with your data, not against it
Performance on a billion-row table looks a lot like performance on a ten-million-row table. We've seen the alternative, and it isn't pretty.
Plays well with the rest of the stack
Native connectors for Kafka, S3 and most BI tools mean it slots into an existing pipeline rather than demanding you rebuild around it.
Serious performance without the licence bill
Open source, and frugal with hardware for the throughput it delivers — the cost profile looks very different to the proprietary warehouses it competes with.
Not sure ClickHouse is the right call? Ask the engineer who'd build it.
Book a 30-minute working session with a senior engineer — a real conversation about your data and reporting, not a sales call.
What a ClickHouse build usually includes.
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Read moreThe stack we ship on.
Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.
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- You're building a data product and need a team that can deliver.
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- Your reporting is a mess and you need a real platform underneath it.