Dashboards that keep people moving
Customers and colleagues can explore the data they need without waiting for another export or a slow report.
Data platform consulting for ClickHouse Cloud
Stop waiting on your analytics.
Slow dashboards, rising data bills, or reports competing with your application? Axial SQL helps you evaluate and implement ClickHouse Cloud, starting with one workload and a measurable business case.
20+ years in database engineering
SQL Server and AWS experience
Work directly with experienced data platform specialists
Workload assessment
What we measure
Your analytics baseline
Query response
P95
Speed at peak demand
Data freshness
Lag
Source to usable answer
Total cost
TCO
Platform and operations
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For teams building and operating data-intensive products
E-commerce
Fintech
Observability
SaaS
AI platforms
Recognize the problem
When your data grows, the workarounds grow with it.
Start with the bottleneck your team already feels. Then decide whether ClickHouse can solve it at a cost and level of effort that make sense.
A credible plan for analytics cost
Find the workload driving spend. Compare platform, ingestion, retention, and operating effort before investing in a change.
Less reporting load on the application
Evaluate moving large analytical queries off the transactional database while keeping the application’s system of record.
Useful answers from event history
Keep the detail investigations need and design a practical way to query it as logs, traces, and business events grow.
A manageable route into ClickHouse
Start with one workload, validate it beside the existing system, and agree the conditions for moving forward.
A platform your team can own
Receive documented design choices, runbooks, and knowledge transfer so the result stays useful after implementation.
A focused first step
Find out if ClickHouse fits.
A fit and opportunity assessment reviews one workload, explains the options, and gives you a written recommendation. If a pilot is useful, you know what it will test and what success means.
See the assessmentFit and architecture assessment
Translate the business problem into workload requirements, a deployment outline, risks, and a practical next step.
Migration and implementation
Move selected analytical workloads in controlled stages, with data validation, parallel running where appropriate, and clear cutover criteria.
Performance and cost review
Find why an existing ClickHouse workload is slow or expensive, prioritize changes, and measure the impact under representative conditions.
Production readiness
Review the monitoring, recovery, access, and operating procedures needed to run the workload with clear ownership.
Training and ongoing advice
Work through your actual schemas, queries, and operating questions with the engineers who will maintain the solution.
Deployment strategy
Build the analytics. Choose the right operating model.
ClickHouse Cloud is a practical starting point when reducing infrastructure administration matters. Evaluate BYOC or self-managed deployment when your requirements call for them.
Managed service
ClickHouse Cloud
Let ClickHouse manage the service infrastructure while your team focuses on data, queries, and the product experience.
Provider-managed infrastructure
Your workload and access design
Validate service fit and total cost
Your cloud account
Bring Your Own Cloud
Evaluate a ClickHouse-managed data plane in your cloud account when account ownership is a firm requirement.
Data plane in your account
Managed control plane
Confirm contract and capabilities
Your infrastructure
Self-managed ClickHouse
Choose your own infrastructure and configuration when your team is ready to own the database lifecycle.
On-premises or chosen infrastructure
Your upgrades and recovery
Include operating effort in cost
Compare deployment models · Cloud overview · BYOC requirements
How we work
Make the next decision with evidence.
Agree the question and the acceptance criteria. Then test your workload, review the findings, and implement the next stage only when it is justified.
30 minutes
Start with a fit conversation
One workload
Keep the first scope focused
Discover
Agree the problem, baseline, business outcome, and dependencies.
Design
Choose the data model, ingestion path, deployment, and controls.
Prove
Test correctness, speed, freshness, concurrency, and cost.
Deliver
Implement, reconcile, and roll out in controlled stages.
Operate
Hand over alerts, runbooks, recovery procedures, and ownership.
Published ClickHouse user stories
See why teams chose ClickHouse Cloud.
Embedded analytics, staged migration, and AI observability are different workloads. These published stories show the problems teams addressed and the engineering behind their decisions.
Read the customer examples
Embedded analytics
Luzmo
A move from self-managed infrastructure to Cloud.
Read the story
Staged migration
Attentive
Parallel systems and workload validation.
Read the story
AI observability
Respan
High-volume event ingestion and analytics.
Read the story
Your next step
Your data
Test the fit on the workload that matters to you.
Read about the assessment
Customer stories are published by ClickHouse. They are not engagements delivered by this practice or forecasts for your results.
Practical insight
Not ready for a call? Start here.
Read the guides before sharing any details. Use them to frame the business case and the questions your team needs to answer.
Fit guide
Check the fit
Is ClickHouse the right next step?
Recognize a promising analytical workload and the cases where improving the current stack may be enough.
Cost framework
Read the framework
Would it lower the total cost?
Compare the platform, pipeline, retention, peak demand, and engineering effort.
Production checklist
Read the checklist
What needs to be ready for launch?
Review correctness, performance, recovery, access, cost, and ownership.
Start with your problem
Could ClickHouse make a useful difference?
Tell us what is slow, expensive, or hard to maintain. In a 30-minute fit conversation, we can clarify the workload and decide whether an assessment would help.
Work directly with experienced data platform specialists
Remote across North America and Europe
Scope and fees agreed before paid work