ClickHouse integration that reaches the systems other tools can't.
Connect ClickHouse to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.
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Live demo · Claude querying ClickHouse + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
ClickHouse is brilliant at what it does. Useless at everything else your data needs to touch.
ClickHouse is the fastest open-source OLAP engine you can run, so teams point everything at it - and then the integration story breaks. Custom apps proxy queries through bespoke layers. Per-tenant row policies live in app code. AI agents query without lineage. Sharded clusters need orchestration ClickHouse-keeper alone wasn't designed to expose to ops systems.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for ClickHouse, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CRM, ERP + customer-facing apps reading ClickHouse through brittle proxy layers rather than governed integrations
- Real-time CDC from operational OLTP into ClickHouse via Kafka table engines + Materialized Views
- AI agents querying ClickHouse live through MCP rather than batched analytical jobs
- Customer-facing apps backed by ClickHouse with MergeTree-aware caching + per-tenant row policies
- Multi-shard + replica routing across ClickHouse Cloud + self-hosted clusters
Ops, apps, agents, BI + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top. Australian-priced.
- ClickHouse + every CRM, ERP + operational system
- Streaming, CDC, files, APIs + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
ClickHouse + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on ClickHouse + integrated systems. Built in weeks, not months.
Real-time CDC via Kafka table engines
Change-data events from Salesforce, HubSpot CRM + custom OLTP stream into ClickHouse via Kafka table engines + Materialized Views. Sub-millisecond insert latency, no separate ingest service.
Reverse ETL from real-time OLAP
Aggregations, segments + materialised-view outputs push back to HubSpot CRM, NetSuite ERP + custom ops apps the moment the view refreshes. MergeTree partitioning preserved end-to-end.
Claude queries ClickHouse live via Rayven MCP
Claude + your AI agents query live ClickHouse shards through Rayven MCP. Row-level access + role-based access policies travel through the connection - no application-layer leakage.
Customer-facing apps on ClickHouse
Portals + embedded analytics on top of ClickHouse via Rayven's app layer. MergeTree-aware caching, per-tenant row policies + RBAC all handled - shard cluster stays free for analytical workloads.
Sharded + replicated cluster routing
Sharded ClickHouse clusters + replicas across self-hosted + ClickHouse Cloud federate through Rayven's AI Data Fabric. Per-shard query routing + replica load balancing without rebuilding pipelines.
Real-time OLAP + real-time ops in one view
ClickHouse aggregations join with Rayven's IoT + transactional stream in a single dashboard. Today's anomaly against years of OLAP context - sub-second on both sides.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a ClickHouse connector. It's the operational software platform underneath - so once ClickHouse is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
ClickHouse data joined with ERP, IoT + legacy - contextualised, unified + structured so AI models, agents + tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to ClickHouse + every other connected system. Your AI stops guessing - cites real ClickHouse records + numbers.
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Automation + AI agents
Workflows + AI agents act on ClickHouse data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated ClickHouse data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. ClickHouse stays ClickHouse. Rayven works on what you've already built. Specifically tuned for ClickHouse MergeTree-aware routing + sharded cluster + replica load balancing.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
ClickHouse integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for ClickHouse's MergeTree + sharded model.
Rayven uses ClickHouse Kafka table engines + Materialized Views for sub-millisecond CDC sync, HTTP interface + Native protocol for query, with shard + replica-aware routing. MergeTree engine family + per-tenant row policies travel through every flow via the REST + JDBC endpoint layers.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your ClickHouse evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your ClickHouse data needs to live. Your residency, your rules, your local compliance environment.
The questions ClickHouse admins, RevOps + IT ask first.
If you're evaluating Rayven for ClickHouse integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your ClickHouse + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is ClickHouse integration?
ClickHouse integration is the practice of connecting ClickHouse to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so OLAP data is usable everywhere it matters. Rayven delivers ClickHouse integration as part of an AI data fabric, not a bespoke proxy layer.
How does Rayven connect ClickHouse to other systems?
Rayven uses ClickHouse's HTTP interface, Native protocol, JDBC/ODBC, Kafka table engines + Materialized Views for real-time bidirectional sync. Basic, LDAP + SSL authentication + ClickHouse Cloud OAuth handled per environment. See the Rayven Platform for the integration + data layers.
What systems can Rayven connect ClickHouse to?
Rayven connects ClickHouse to 600+ systems including Salesforce, HubSpot CRM, NetSuite ERP, Xero, Kafka, Kinesis, S3, GCS + custom OLTP databases - plus AI agents via Rayven MCP.
How does Rayven handle ClickHouse sharding + replication?
Rayven's routing layer is shard + replica-aware. Operational reads route to the closest replica; analytical workloads scatter-gather across shards. ClickHouse Keeper coordination respected end-to-end. See the data layer for the model.
Does ClickHouse have a native API? Why does Rayven add value on top?
Yes - ClickHouse ships HTTP interface, Native protocol, JDBC/ODBC, Kafka + Kinesis table engines + Materialized Views. Rayven adds value because production sync needs more than a connector: MergeTree-aware routing, sharded cluster orchestration, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.
What are the most common ClickHouse integration use cases?
Top use cases are Kafka-engine CDC, reverse ETL to CRM + ERP, Claude querying ClickHouse via MCP, sharded cluster federation + customer-facing apps backed by real-time OLAP. See the automations above for specifics.
What are the technical specifics of ClickHouse integration with Rayven?
Rayven uses ClickHouse's HTTP interface, Native protocol, JDBC/ODBC drivers + Kafka table engines for real-time bidirectional sync, authenticated via Basic, LDAP, SSL + ClickHouse Cloud OAuth with per-cluster credential rotation. Kafka + Kinesis table engines drive sub-millisecond CDC into MergeTree tables; Materialized Views fire on insert so downstream aggregations stay live without polling. Shard + replica-aware query routing means operational reads route to the closest replica while analytical workloads scatter-gather across all shards. MergeTree engine family choice (ReplacingMergeTree, AggregatingMergeTree, SummingMergeTree) preserved across every flow into CRM, ERP, AI agents + custom apps. Row-level access + role-based access policies travel through the connection. Sharded clusters across self-hosted + ClickHouse Cloud reconcile via Rayven's customer-master layer with per-shard query routing. Claude + your AI agents query ClickHouse through Rayven MCP. Validated against self-hosted + ClickHouse Cloud deployments + the Rayven Platform.
ClickHouse + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.