Case Study: NANO Corp achieves high-speed, scalable network observability with ClickHouse

Why they are using ClickHouse and their journey from discovery to production

NANO Corp., a young French startup founded in 2019, needed a database to power its NOC as a Service offering and real-time network observability platform. The team had to ingest constant high-volume traffic data from multiple probes, run periodic alerting and user queries, support hot/cold data buffering, and keep the system easy to maintain without sharding or complex multi-cluster setups too early. ClickHouse was evaluated after traditional OLTP and other OLAP options struggled to meet the performance and scalability requirements.

NANO Corp. chose ClickHouse for its fast inserts, powerful indexing, materialized views, MergeTree engine, and efficient batch ingestion model, which fit their asynchronous, high-throughput data pipeline. With ClickHouse, queries that previously took seconds or minutes ran in milliseconds, and the company could handle up to 1.4 million flow records per second in tests while keeping infrastructure simpler and more cost-effective. ClickHouse enabled NANO Corp. to move from experimentation to production with a database that matched its need for speed, scale, and operational simplicity.

NANO Corp

Florian Thebault

NANO Corp