Real-time analytics in your cloud: scope a ClickHouse workload
Velocity provides managed ClickHouse for dashboards, product analytics and data APIs. Use your own ingestion and query patterns to evaluate a move from hosted analytics.
Relevant capabilities
- Managed ClickHouse behind LakeGate
- Backups, sharding and day-two actions
- Role-based access for analytics workloads
How should you compare the options?
- What ingestion freshness and retention does the product need?
- What query concurrency and latency matter at peak load?
- Can the existing warehouse remain the system of record?
What should you bring?
- Representative events and query set
- Peak concurrency and freshness targets
- Current retention and operating costs
What does a practical first workflow look like?
- Choose one dashboard or data API as the pilot.
- Replay a representative workload and check data access controls.
- Compare measured behavior and full operating cost before migrating more traffic.
What should you check before expanding?
- Reconcile ingestion completeness.
- Measure latency at representative concurrency.
- Exercise backup recovery and the cutover rollback.
How should you evaluate the cost?
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.
What needs checking before switching?
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.