Enterprise ClickHouse Support — 24/7 Production Coverage
Expert 24/7 support for ClickHouse deployments. We support ClickHouse Cloud and self-managed clusters with guaranteed SLAs, direct expert access, and deep real-time analytics expertise.
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What Our ClickHouse Support Covers
Comprehensive support for every aspect of your ClickHouse infrastructure.
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Query Optimization
Analysis and rewriting of slow queries for sub-second analytics -
Schema Design
Table engines, partitioning strategies, and data modeling -
Cluster Monitoring
Proactive health checks, alerting, and performance baselines -
Integration Support
Kafka, Spark, BI tools, and data pipeline integrations -
Version Upgrades
Safe upgrades with rollback planning and compatibility testing -
Distributed Clusters
Sharding, replication, and Kubernetes deployments
ClickHouse Support Tiers
Choose the level of coverage that matches your production risk profile.
| Capability | On-Demand | Business Hours | 24/7 Production |
|---|---|---|---|
| Response time SLA | Next business day | 4 hours | 1 hour for P1 |
| Coverage hours | Ad hoc | Mon–Fri, business hours | 24/7/365 |
| Incident management | — | Yes | Yes |
| Query optimization | Yes | Yes | Yes |
| Schema review | On request | Yes | Yes |
| Version-upgrade assistance | Hourly | Yes | Yes |
| On-call rotation | — | — | Yes |
| Dedicated Slack channel | — | Yes | Yes |
| Quarterly health check | — | Yes | Yes |
BigData Boutique vs ClickHouse Cloud Support
ClickHouse Cloud's support is excellent for product-level issues with the managed service. Our support adds the operational expertise around ClickHouse — the parts you still own when something goes wrong at 3am.
| Scope | BigData Boutique | ClickHouse Cloud Support |
|---|---|---|
| Query optimization & rewrites | Yes | No (product-only) |
| Schema redesign | Yes | No |
| ZooKeeper / ClickHouse Keeper rescue | Yes | No |
| Version-upgrade hand-holding | Yes | No |
| Cluster sizing & capacity planning | Yes | No |
| Self-managed cluster support | Yes | No (Cloud-only) |
| Multi-cloud / hybrid deployments | Yes | Limited |
How a 3am Production Page Gets Handled
A concrete walkthrough of what happens when your ClickHouse cluster pages our on-call engineer in the middle of the night.
- Alert hits PagerDuty. Your monitoring (Grafana, Datadog, or our managed Prometheus stack) fires into the rotation for your dedicated on-call engineer.
- Acknowledgement within minutes. Our SRE acks the page, joins your dedicated Slack channel, and posts an initial status so your team knows we are engaged.
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Context gathered from system tables. We pull
system.processes,system.merges,system.replicas,system.replication_queue, and recent error logs to triage what changed. - Diagnosis and triage. Common culprits — runaway merges, ZooKeeper / Keeper sessions, replication lag, memory pressure from a bad query — are checked against the data, not guessed at.
- Fix or escalate. Most P1s are resolved by the first responder. Anything deeper is escalated to a senior ClickHouse engineer with full context already in the channel.
- Post-incident report. Within one business day you receive a written timeline, root cause, and concrete remediation steps so the same page does not happen twice.
Environments We Support
ClickHouse Cloud
Expert support for ClickHouse's managed cloud offering. We help with configuration, query optimization, cost management, and troubleshooting within the managed environment.
Self-Managed ClickHouse
Full control with expert guidance. We support on-premises, cloud VMs, and Kubernetes deployments with complete configuration control and hands-on maintenance support.
Real-Time Analytics Expertise
ClickHouse powers some of the world's most demanding analytics workloads. Our team has deep experience with real-time analytics at scale, helping organizations achieve sub-second query times on billions of rows.
We understand the nuances of ClickHouse's columnar architecture, table engines, and distributed query execution. This expertise helps us quickly diagnose and resolve performance issues that others struggle with.
Whether you're building real-time dashboards, analyzing user behavior, or processing IoT data streams, we help you get the most out of ClickHouse's incredible performance.
Schema & Query Optimization
ClickHouse performance depends heavily on schema design. We optimize table engines, partitioning, ordering keys, and materialized views for your specific workloads.
Integration Expertise
Deep experience integrating ClickHouse with Kafka, Spark, Airflow, Grafana, Superset, and other tools in modern data stacks.
Distributed Cluster Support
Expert guidance on sharding strategies, replication setup, and running ClickHouse on Kubernetes with operators like Altinity or ClickHouse's own.
We Help You
Frequently Asked Questions
What response-time guarantees do you offer for ClickHouse incidents?
Our 24/7 Production tier guarantees a 1-hour response for P1 incidents, with 4-hour response on the Business Hours tier and next-business-day on the On-Demand tier. Response times are measured from the moment a ticket or page is opened to the moment a senior engineer is engaged on the issue.
What counts as a P1 versus a P2 issue?
P1 is a production-impacting incident: cluster down, ingestion stopped, replication broken, or critical queries failing for end users. P2 is degraded but not down: elevated latency, single-node failures with replicas still serving, or non-critical query regressions. P3 and P4 cover questions, advice, and planned work. Severity is agreed during onboarding and reviewed during incidents.
Which support channels can we use to reach you?
Production-tier customers get a dedicated shared Slack channel with named engineers, plus email and phone for paging. Business Hours customers get email and Slack. On-Demand customers reach us via email and our ticketing portal. PagerDuty integration is included on the 24/7 tier.
What hours is your on-call rotation actually staffed?
Our 24/7 ClickHouse on-call rotation is staffed by senior engineers across multiple time zones, every day of the year including weekends and holidays. There is no answering service or first-line triage layer — you reach a ClickHouse practitioner who can act on the issue immediately.
Do you support both ClickHouse Cloud and self-managed clusters?
Yes. We support ClickHouse Cloud, self-managed clusters on VMs or bare metal, and Kubernetes deployments using the Altinity or ClickHouse operators. For Cloud customers we focus on query optimization, cost management, and integration work that sits outside ClickHouse Cloud's product-only support scope. For self-managed clusters we cover the full operational stack including ZooKeeper / ClickHouse Keeper.
What is included in version-upgrade support?
Upgrade support covers compatibility assessment against your queries, schema, and integrations; rollback planning; staged execution against staging before production; live monitoring during the upgrade window; and post-upgrade validation. We have run upgrades across the full range of supported ClickHouse versions including jumps that cross major release boundaries.
Related ClickHouse Resources: ClickHouse Consulting · ClickHouse Performance Tuning · Migrate to ClickHouse · What is ClickHouse?
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