ClickHouse Consulting & Support for Enterprises

Our ClickHouse consulting covers MergeTree table design, distributed cluster architecture, ingestion pipeline design, materialized view strategy, query optimization, and migration planning. Every engagement is staffed by a named senior engineer with production-proven ClickHouse expertise.

ClickHouse merges small inserted parts into larger ones in the background, and frequent small inserts can outpace the merge process, eventually blocking writes entirely. We design the ingestion pipeline — Kafka engine configuration, batch sizing, buffer tables — to keep insert frequency and size in the range ClickHouse's merge process can sustain.

Elasticsearch's inverted-index architecture gets expensive at OLAP scale compared to ClickHouse's columnar storage and vectorized query execution, especially for aggregation-heavy analytical workloads rather than full-text search. We benchmark both against your actual query patterns before recommending a migration.

Both are columnar OLAP engines, but they make different trade-offs — Druid's segment-based architecture and tiered storage suit high-cardinality real-time ingestion with predictable query patterns, while ClickHouse's flexibility with ad hoc SQL and simpler operations suits teams that need broader query freedom. We evaluate against your workload rather than a general preference.

A ClickHouse healthcheck covers part count and merge backlog per table, primary key and sort order alignment with query patterns, and materialized view coverage gaps. We deliver a written report with prioritized remediation steps.

We start with merge backlog, replication queue depth, and Keeper session health to isolate the problem layer, then move to immediate stabilization and root cause analysis. We stay engaged until the cluster is fully recovered and the incident is documented.