Real-time
Two-way sync
Changes in ClickHouse or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
ClickHouse to Supabase integration — real-time, two-way sync
Keep ClickHouse and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect ClickHouse and Supabase
Connect Supabase and ClickHouse with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Supabase's rows in ClickHouse, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Supabase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Supabase sync into ClickHouse in real time, and result tables in ClickHouse sync back into Supabase, with schema and type mapping between the two systems handled for you.
Common use cases
- Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
- Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
- Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
- Mirror billing and subscription records into Supabase tables the application can join directly
Offload heavy reads
Point analytical queries at the synced copy in ClickHouse and keep Supabase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Supabase land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in ClickHouse sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
What you can sync between ClickHouse and Supabase
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| ClickHouse objects | Supabase objects | |
|---|---|---|
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Views Read-side projections exposed to outbound syncs. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Schemas Namespaces (public and custom) that scope sync access. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | |
| Databases Namespaces that group tables and scope permissions for sync users. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | |
| Views Saved queries used as curated, read-only sync sources. | Database Functions Postgres functions that can transform or validate synced rows. |
What ships with ClickHouse ⇄ Supabase
Connect ClickHouse and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single ClickHouse or Supabase record.
Observability
Monitoring
Track your ClickHouse ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between ClickHouse and Supabase.
How the ClickHouse and Supabase connectors work
ClickHouse
- Integration surface
- Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
- Authentication
- Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
- Change detection
- No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
- Capabilities
- read · write
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect ClickHouse to Supabase — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate ClickHouse and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
ClickHouse
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse and Supabase objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · ClickHouse ⇄ SupabaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
ClickHouse SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Supabase: authenticate both systems, choose the objects to sync (such as ClickHouse's Materialized views and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed ClickHouse and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both ClickHouse and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the ClickHouse side: Distributed tables, Dictionaries, Tables (MergeTree family), Databases, plus custom fields where ClickHouse exposes them. On the Supabase side: Database Functions, Storage Object Metadata, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
SECURITY
Security teams love Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for ClickHouse and Supabase.
Popular · 8 of 386
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ClickHouse ⇄ RavenDB -
ClickHouse ⇄ Redis Enterprise -
ClickHouse ⇄ SAP ASE (Sybase) -
ClickHouse ⇄ Scaleway Postgres -
Supabase ⇄ Starburst Enterprise -
Supabase ⇄ StarRocks -
Supabase ⇄ Teradata Vantage -
Supabase ⇄ Tinybird
No integrations match .
