ClickHouse Consulting Services for Production Systems
Our ClickHouse consulting services help businesses run analytics faster, reduce storage costs, and scale seamlessly. From new deployments to ongoing support, our experts ensure your database is optimized for performance and reliability.
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Work with Expert ClickHouse Database Consultants
Our ClickHouse experts bring hands-on experience from real-world projects. We’ve helped companies across industries design, deploy, and optimize ClickHouse for real-time data analytics and large datasets.
Scalable ClickHouse Architecture & Design Services
We design scalable, fault-tolerant ClickHouse architectures that support growing data volumes and demanding workloads.
Hands-On Expertise from ClickHouse Experts
Our consultants work directly with your team to deliver practical solutions—covering query processing, ingestion, and optimization.
Advanced ClickHouse Performance Optimization Services
We improve query execution, schema design, and cluster tuning to boost performance and efficiency.
ClickHouse Training & Seamless Migration Services
We provide training and migration support from traditional databases and cloud warehouses, making the transition smooth and low-risk.
24/7 ClickHouse Enterprise Support & Managed Services
Round-the-clock managed services and enterprise support with guaranteed SLAs keep your analytics platform reliable.
Proactive ClickHouse Monitoring & Health Checks
Continuous monitoring and health checks ensure stability, performance, and long-term scalability.
Why Businesses Trust Our Expert ClickHouse Consulting Team
As an independent ClickHouse consultancy, we focus on measurable production outcomes: faster queries, lower storage and compute costs, and clusters that stay stable under real workload growth. Our engagements have helped customers like Exon Media achieve significant query performance gains and substantial resource savings on their on-prem ClickHouse deployment, and supported teams like Boar's Head in standing up ClickHouse alongside Apache Flink as the core of their analytics environment.
Check out our case studies to learn more
How Our ClickHouse Consulting Engagements Work
We don't run the same checklist on every cluster. What stays consistent is the shape of the engagement, so you always know what comes next and where the work will land. Most projects move through four stages, and you can stop after any of them once the problem in front of you is solved.
1. Discovery and health check
We read your cluster the way your on-call engineer would: schema and table engines, partitioning and primary keys, the queries that actually run in production, merge and mutation behavior, and where the time and money are going. You get a written findings document, not a slide deck.
2. Prioritized roadmap
The findings turn into a ranked list of changes, each with the payoff we expect and the risk of making it. Quick wins you can ship this week sit next to the larger architectural moves that need planning, so you decide what's worth doing and when.
3. Implementation
We do the work next to your team, in your repositories and your change process: schema redesigns, query rewrites, materialized views and projections, ingestion fixes, sharding and replication changes, upgrades. Every change is validated against real traffic in staging before it reaches production.
4. Ongoing support
When the project wraps, most teams keep us on a retainer for advisory hours, upgrades, on-call coverage, and the next round of tuning as the workload grows. Others take the roadmap and run with it in-house. Both work for us.
What Our Clients Say
“BigData Boutique significantly enhanced our on-prem ClickHouse deployment, boosting performance and reliability. Their expert analysis and optimization resulted in an increase in query performance and substantial resource savings.”
“As we transitioned our analytics environment to leverage Apache Flink for streaming and ClickHouse for our data warehouse, BigData Boutique brought invaluable expertise and a proven track record with similar environments.”
Where Teams Bring Us in for ClickHouse
ClickHouse turns up in very different places, but the people who call us tend to share a problem: the data got big enough, or fast enough, that the previous setup stopped keeping up. These are the patterns we see most often.
Ad-tech and marketing analytics
Bid streams, impression and click logs, and attribution reporting at millions of events per second. Query latency here isn't a nice-to-have; it's what you can put in front of an advertiser. We tune ingestion and aggregation so reporting stays fast while volume keeps climbing.
Observability, logs and metrics
Teams moving off expensive log and metrics platforms use ClickHouse to hold far more history for the same money, with fast search across high-cardinality fields. The work is usually in schema design, column codecs, and TTL-based retention that keeps storage predictable.
Product and user analytics
Funnels, retention, and session analysis over event streams, often fed from Kafka and surfaced in a dashboard or an in-app analytics feature your customers see. We keep those queries fast under real concurrency, not just in a demo.
Financial and time-series data
Tick data, risk and exposure reporting, and regulatory queries where reproducing a number matters as much as getting it quickly. We design schemas and rollups that hold up to both audit and load.
Real-Time Data Analytics at Scale with ClickHouse
ClickHouse is built for web-scale analytics. With our consulting services, you can process large datasets in real time and gain insights faster.
ClickHouse Cloud or Self-Managed? We're Neutral on It
We don't resell a platform, so we have no reason to push you toward one deployment model. We run engagements on ClickHouse Cloud, on self-hosted clusters on Kubernetes and plain VMs, and on fully on-prem hardware, and a good share of our work is simply helping teams figure out which of those they should be on.
ClickHouse Cloud takes operations off your plate and is hard to beat when you'd rather not run the database yourself. Self-managed gives you control over cost, hardware, data residency, and the exact version you run, at the price of owning upgrades, scaling, and failure handling. The right answer depends on your team, your workload, and your budget, and it tends to change over time, so we also help teams move between models without a painful migration.
Either way, the cluster still needs a sensible schema, queries that don't waste compute, and an upgrade path you trust. That part of the job is the same, and it's the part we care about most.
ClickHouse Support and Managed Services
Consulting projects have a beginning and an end. Production doesn't. For teams that need someone to call when a cluster misbehaves at 2am, we offer ongoing ClickHouse enterprise support with defined SLAs, on-call coverage, and incident response that plugs into your existing alerting rather than replacing it.
For teams that would rather not carry the operational load at all, our ClickHouse managed services cover the day-to-day of running self-hosted clusters: monitoring and health checks, version upgrades, capacity planning, backups, and the steady stream of small tuning work that keeps a cluster healthy. You keep ownership of your data and infrastructure; we keep the cluster boring.
FAQ
What does a typical ClickHouse consulting engagement look like?
Most engagements start with a focused discovery and health check of your existing cluster, schema, and query patterns, followed by a prioritized roadmap of architecture, performance, and operational improvements. From there we either deliver fixed-scope projects (migrations, redesigns, upgrades) or move into ongoing advisory and support, working directly with your engineering team in their workflow.
How do you compare to ClickHouse Cloud's official support?
ClickHouse Cloud's support is tied to their managed offering and focuses primarily on the platform itself. As an independent ClickHouse consultancy, we work across ClickHouse Cloud, self-managed clusters, and hybrid setups, and we engage on the full stack — schema design, ingestion pipelines, application query patterns, and infrastructure — not just the database layer.
Do you support both ClickHouse Cloud and self-managed clusters?
Yes. We routinely work with ClickHouse Cloud, self-hosted clusters on Kubernetes and VMs, and on-prem deployments. Our recommendations are vendor-neutral, so we can help you choose the right deployment model and move between them as your workload and cost profile evolves.
How is your consulting priced — fixed scope or retainer?
Both. Discrete projects such as migrations, performance tuning sprints, or architecture reviews are typically delivered on a fixed-scope basis with clear deliverables. For ongoing needs we offer monthly retainers that cover advisory hours, on-call coverage, upgrades, and proactive optimization.
How long does a typical ClickHouse migration take?
Most migrations from traditional databases or cloud data warehouses to ClickHouse run between four and twelve weeks, depending on data volume, the complexity of existing pipelines, and downtime tolerance. We design migrations to be incremental and low-risk, validating data and query parity at each step rather than relying on a single cutover.
Can you take on-call coverage for our ClickHouse cluster?
Yes. We provide 24/7 enterprise support and on-call coverage for ClickHouse clusters with defined SLAs, integrated with your existing alerting and incident response. This is typically combined with proactive monitoring, capacity planning, and regular health checks so issues are caught before they page anyone.
Do you provide help with ClickHouse version upgrades?
We plan and execute ClickHouse upgrades end-to-end, including release selection, compatibility review of MergeTree settings, materialized views and SQL features, and a rolling upgrade plan with rollback paths. Upgrades are validated in a staging environment that mirrors production traffic before any change is applied to the live cluster.
How do you improve ClickHouse performance?
We profile real workloads end-to-end — query patterns, table engines, primary keys, partitioning, materialized views, and merge behavior — and tune the cluster against measured bottlenecks rather than generic checklists. Our customers regularly see multi-x query speedups and meaningful reductions in storage and compute footprint after these engagements.
Who are your ClickHouse consulting clients?
We work with startups, scale-ups, and large enterprises across ad-tech, media, security, e-commerce, and industrial sectors. Public references include Exon Media's on-prem ClickHouse deployment and Boar's Head, who deployed ClickHouse alongside Apache Flink for streaming analytics.
Why BigData Boutique for ClickHouse?
We are an independent ClickHouse consultancy with deep, hands-on experience running ClickHouse in demanding production environments. Unlike vendor-tied support, we optimize for your outcomes — performance, cost, and operational simplicity — and stay involved long enough to make sure the improvements stick.
Do you offer ClickHouse managed services for self-hosted clusters?
Yes. Alongside project-based consulting, we run managed services for self-hosted ClickHouse on Kubernetes, VMs, and on-prem hardware — monitoring, version upgrades, backups, capacity planning, and routine tuning — while you keep ownership of your data and infrastructure. Most teams combine this with enterprise support and on-call coverage so there is always someone accountable for the cluster.
Can you help reduce our ClickHouse storage and compute costs?
Cost is one of the most common reasons teams bring us in. We look at data types and codecs, partitioning and TTL, materialized views and projections, and the query patterns driving compute, then fix the ones with the biggest payoff first. It is not unusual to cut storage by a large margin and meaningfully reduce compute just by correcting schema and workload decisions that were made early and never revisited.
Ready to Get Started?
Get in touch with our ClickHouse experts or schedule a meeting to discuss your needs.