A clear next step for your analytics.

Find out whether ClickHouse fits, prove it on your data, or improve the platform you already run. Start with a defined scope and an outcome your team can evaluate.

Request a fit call How delivery works

Choose your starting point.

Evaluate Is ClickHouse worth testing?

Implement Build a working solution

Improve Fix speed, cost, or reliability

A focused first engagement

ClickHouse fit and opportunity assessment.

For teams facing an analytics bottleneck who want a credible decision before committing to a new platform.

Bring the problem

A slow dashboard, an expensive reporting workload, a growing event stream, or a proposed product feature.

Current platform and rough volumes
A few representative questions or queries
The business consequence of doing nothing

Review the options

Assess data shape, freshness, concurrency, integration work, and operating constraints. Include improvements to the current platform.

Workload suitability and disqualifiers
ClickHouse Cloud deployment outline
Dependencies, risks, and cost drivers

Leave with a decision

Receive a written recommendation and the smallest useful next step. A pilot is proposed only when it can answer a material question.

Prioritized findings and recommendation
Pilot scope and acceptance criteria
Delivery outline for the recommended path

Hands-on services

From a business case to a platform your team can run.

Each scope defines the work, the evidence needed to accept it, and the responsibilities that stay with your team.

01 / Architecture

Prove the design before you scale it.

For teams choosing ClickHouse Cloud or designing a new analytical product. Translate business requirements into a data model, ingestion path, deployment recommendation, and capacity plan.

Workload and integration inventory Architecture diagram and decision record Schema and query design Freshness and response-time targets Access and network requirements Cost assumptions and pilot plan

02 / Migration

Move the analytics that need to move.

For reporting and event workloads on SQL Server, PostgreSQL, MySQL, or a warehouse. Select the analytical slice, adapt queries and data flows, and validate it alongside the existing system before switching consumers.

Source and SQL compatibility review Backfill and ongoing ingestion plan Update, delete, and replay semantics Data reconciliation and parallel running Cutover and rollback criteria Documentation and team handover

03 / Optimization

Find what is making ClickHouse slow or expensive.

For an existing ClickHouse deployment with slow queries, rising bills, ingestion pressure, or unstable performance. Profile the workload and prioritize changes with measurable impact.

Baseline query and resource profile Sort keys, partitions, and schema review Materialized views and query changes Batching, merges, and retention review Concurrency and resource controls Before-and-after results with test conditions

04 / Reliability

Know what happens when production fails.

For an upcoming launch or a platform your team already owns. Turn gaps in monitoring, recovery, access, and change management into an actionable readiness plan.

Production readiness findings Actionable alerts and monitoring Restore test and recovery objectives Upgrade and change procedures Incident and escalation runbooks Ownership and acceptance checklist

05 / Enablement

Keep the knowledge inside your team.

For engineers and database teams who need to make confident changes after implementation. Work through your actual tables, queries, incidents, and operating decisions.

Workshops using your workload Schema and query review sessions Documented design choices Operational walkthroughs Prioritized improvement backlog Advisory cadence when needed

Scope and pricing

Know what you are buying before work begins.

Consulting fees are separate from ClickHouse subscriptions, infrastructure, and third-party services.

A bounded assessment

A defined question, a written recommendation, and an agreed completion point. Scope, fees, and timing are confirmed in a proposal.

A delivery engagement

Implementation broken into milestones, with explicit acceptance criteria and decisions before the next stage begins.

Ongoing advice

Design reviews, planned investigations, and team support on an agreed cadence. Availability and incident response terms are defined in the agreement.

Which analytics problem is worth solving first?

Start with a 30-minute fit conversation. Clarify the problem, assess whether ClickHouse is worth exploring, and identify the next step.

Request a fit call