ClickHouse specialists for your dedicated team.

Where ClickHouse fits in a long-term product team.

The performance is real and it comes from specialisation. Columnar storage with aggressive compression means an aggregation over a few columns of a billion-row table reads a fraction of the data a row store would. For event analytics, observability data and product telemetry it is frequently an order of magnitude faster than the alternative.

The specialisation is also the constraint. Updates and deletes are awkward, joins are weaker than in a mature relational engine, and there are no transactions of the kind an application developer expects. It is an analytical store beside a transactional one, not a replacement for it.

What your dedicated team does with ClickHouse.

Table design decides everything here. The sorting key decides which queries are fast and which scan the whole table, and it can't be changed without rewriting the data, so it has to be chosen from the queries the product will run.

Getting that right means understanding the query patterns before the schema is fixed, the kind of upfront design a long-term team does deliberately. What that covers is set out in how the monthly fee is built.

Common ClickHouse use cases.

• Aggregations over event data Product and observability analytics answered in seconds.
• Sorting keys chosen from real queries Schema designed against the access patterns, because it cannot be changed cheaply afterwards.
• Analytical load kept off the transactional store Heavy reporting served separately, so it cannot affect the path taking orders.

Adding ClickHouse skills to your team.

ClickHouse work is assigned in a dedicated data engineering team, with schema design treated as the deliverable that matters most.

You can add ClickHouse capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.