Data and ClickHouse area
Queries cost more
than the data.
eBay rebuilt its OLAP platform on ClickHouse and cut over 90% of its Druid infrastructure. ClickHouse is the engine under Langfuse, Helicone, SigNoz and HyperDX. We design it, migrate to it and keep it running, with certified consultants.
Why ClickHouse
The engine under the platforms you know
This isn't a technology bet: it's the database behind Cloudflare's analytics, Uber's logging and eBay's OLAP. And now Langfuse, Helicone, SigNoz and HyperDX too.
- >90%
- Druid infrastructure eBay cut by migrating
- 6M/s
- Requests per second Cloudflare analyses
- 4,000
- ClickHouse Inc. customers, over $250M ARR
- Certified
- Our consultants — not merely curious about it
Public sources: FinOps Foundation State of FinOps 2026, GitClear study on 153 million lines, 2026 productivity benchmarks.
Diagnosis
2 weeks
Free
Data platform X-ray
Cost per query and per terabyte today, bottlenecks, and the estimated saving of a ClickHouse migration — before you commit a euro.
Pilot Build
2-3 weeks
First workload on ClickHouse
One real dataset moved onto ClickHouse and compared against your current platform on the same queries. Real numbers, not brochure benchmarks.
Build
8-12 weeks
ClickHouse migration
Moving off Elastic, Druid, Snowflake or BigQuery: data model, ingestion, schema and go-live, without stopping what's running.
Stewardship
Retainer
Platform stewardship
Continuous tuning, cost control and platform growth, with the people who built it.
What you get
A migration that doesn't stop what's running
The current system stays live throughout. One workload at a time, and every step can be stopped.
Real workload analysis
Which queries actually cost, which are slow, which nobody has run in months. Often the third group is the largest.
Data model and schema
Sort keys, partitioning and types chosen for your real access patterns: this is where ClickHouse either flies or crawls.
Ingestion and sync
Loading from existing systems with dual writes during the transition, so the comparison is like-for-like.
A measured comparison, not a promised one
The same queries on both systems, cost and latency side by side. If it doesn't pay off, we say so and you stop.
Go-live
Backups, replicas, monitoring and runbooks. A fast database nobody can operate is a problem postponed.
Handover
Your team learns to read query plans and tune on its own. Stewardship becomes a choice, not a dependency.
Questions we get
What people ask before signing
- Not always, and not necessarily all of it. It shines on analytical queries over large volumes; for transactional workloads or governed reporting it can coexist with what you have. The Diagnosis says which part is worth moving.
Contact us
A quote, a particular request, or simply a coffee to meet us? Write to us and we will reply to a "nano-second".