# 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 to compare

- 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?

## Bring these inputs

- Representative events and query set
- Peak concurrency and freshness targets
- Current retention and operating costs

## A practical first workflow

- 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.

## Check before expanding

- Reconcile ingestion completeness.
- Measure latency at representative concurrency.
- Exercise backup recovery and the cutover rollback.

## Economics
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.

## Switching considerations
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.

## Free next step
Get a free deployment checklist, then create your workspace. Free expert help with your use case is also available through our contact form.

[Create your HyperLake workspace](https://app.hyperlake.cloud/users/sign_in?intent=realtime-analytics&offer_id=starter-checklist-v1&utm_source=hyperlake&utm_medium=owned&utm_campaign=signup-journey&utm_content=landing_hero)

[Download the free checklist](https://hyperlake.cloud/solutions/realtime-analytics.txt)

No free cloud capacity is promised. Deployment scope and charges are agreed separately; AWS and Google Cloud are available today.

## Sources
- https://hyperlake.cloud/stacks
- https://hyperlake.cloud/faq
- https://hyperlake.cloud/get-started

[Discuss this workload](https://hyperlake.cloud/contact)