Enterprise ClickHouse Support
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.
Trusted By
24/7
Global Coverage
10x
Query Speedups Achieved
1hr
SLA Available
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
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
Increase
Query Speed
Ingestion Throughput
Cluster Stability
Team Productivity
Reduce
Query Latency
Storage Costs
Operational Burden
Downtime
Frequently Asked Questions
We support ClickHouse Cloud (managed), self-managed on VMs or bare metal, and Kubernetes deployments using operators like Altinity or ClickHouse Kubernetes Operator. Our expertise covers all deployment models.
Query optimization is one of our core strengths. We analyze query patterns, optimize schema design (partitioning, ordering keys, table engines), and implement materialized views to achieve dramatic performance improvements.
Yes! We provide expert support for ClickHouse Cloud including query optimization, cost management, and troubleshooting. We help you get the most out of the managed service while optimizing spend.
Our premium SLA offers 1-hour response time for critical issues with true 24/7 coverage. We also offer 4-hour and next-business-day tiers for different support levels.
Absolutely. We have deep experience integrating ClickHouse with Kafka, Spark, Airflow, BI tools like Grafana and Superset, and custom applications. We help design reliable data pipelines.
Yes, we specialize in distributed ClickHouse deployments. We help with sharding strategies, replication configuration, cluster topology, and ensuring consistent performance across nodes.
Cost optimization is a key part of our support. We analyze usage patterns, optimize compression, implement tiered storage, and right-size resources to reduce costs while maintaining performance.
Contact us to discuss your environment and needs. We'll assess your current ClickHouse setup, whether it's ClickHouse Cloud or self-managed, and recommend an appropriate support tier. Onboarding typically takes just days.
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