Start from the problem
Evaluate the current platform and the proposed alternative against the outcome that matters to the business.
Our team brings decades of database engineering experience, including SQL Server and AWS, to the practical decisions behind analytical platforms.
Analytics projects rarely start with an empty environment. They start with databases people rely on, reporting that must keep working, security requirements, and a team with limited time.
Our focus is on making ClickHouse decisions useful in that setting: identify the right workload, test the important assumptions, build the agreed solution, and prepare the team to operate it.
Experience with SQL Server and AWS helps frame the source-system, access, migration, and operating questions around a new analytical layer.
The scope can include schema design, query work, ingestion, testing, monitoring, and documentation, as well as architectural advice.
Recommendations explain the assumptions, tradeoffs, and remaining uncertainties so your team can evaluate and maintain them.
You know the scope, who is responsible, what will be delivered, and how completion will be assessed.
These principles guide the assessment, implementation, and handover.
Evaluate the current platform and the proposed alternative against the outcome that matters to the business.
Use your data, queries, and load profile to establish what the design can do. Keep assumptions visible.
Consider monitoring, recovery, change management, and cost before calling a workload ready for production.
Document decisions and work with your engineers so the system can evolve after the engagement.
Axial SQL is a data platform consulting practice. ClickHouse, Inc. provides ClickHouse Cloud. Consulting scope and fees are agreed separately from platform subscriptions.
The practice helps evaluate the workload, design the solution, implement the agreed scope, and prepare your team.
Your organization evaluates and contracts for the platform and support it needs. No partner status or ClickHouse endorsement is implied.
Published ClickHouse user stories illustrate platform use cases. They are attributed to their publishers and are separate from this practice’s client work.
Read the published examplesStart with a 30-minute conversation about the workload and the outcome. We can establish whether there is a useful fit before discussing a project.