Real-time
Two-way sync
Changes in Citus or CockroachDB instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to CockroachDB integration — real-time, two-way sync
Keep Citus and CockroachDB 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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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Citus and CockroachDB
Keep Citus and CockroachDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Citus and CockroachDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- 02 Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
- 03 Consolidate data from several SaaS tools into one distributed SQL store that survives zone failures.
- 04 Write application events from CockroachDB back to CRM fields to give go-to-market teams product context.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Citus and CockroachDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between Citus and CockroachDB
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.
| Citus objects | CockroachDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Schemas Namespaces within a database used to isolate synced tables from application tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Views Read-only projections used as curated sync sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Sequences ID generators that matter when writes originate from an external system. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Changefeeds Built-in CDC streams that emit row-level changes to external sinks. | Local tables is specific to Citus and Changefeeds to CockroachDB — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Databases Logical containers a sync connects to, addressed like PostgreSQL databases. | Distributed tables is specific to Citus and Databases to CockroachDB — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | Reference tables is specific to Citus and Tables to CockroachDB — each maps to any object or custom field on the other side. |
How changes propagate between Citus and CockroachDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Citus CockroachDB Sub-second propagation
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is applied to CockroachDB as a row-level write, with types converted between the two schemas.
CockroachDB Citus Sub-second propagation
DetectionChanges in CockroachDB are captured at the source via change data capture — no polling loop against its API. CDC via changefeeds, which stream row-level changes.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- CockroachDB: No API rate limits in the SaaS sense; throughput is bounded by cluster capacity.
What ships with Citus ⇄ CockroachDB
Connect Citus and CockroachDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–CockroachDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus or CockroachDB 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 Citus or CockroachDB record.
Observability
Monitoring
Track your Citus ⇄ CockroachDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and CockroachDB.
How the Citus and CockroachDB connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
CockroachDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible)
- Authentication
- Database credentials with TLS; client certificates or SCRAM password auth
- Change detection
- CDC via changefeeds, which stream row-level changes; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits in the SaaS sense; throughput is bounded by cluster capacity
How it works
How to connect Citus to CockroachDB — 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 Citus and CockroachDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Citus
connected
CockroachDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus and CockroachDB 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 · Citus ⇄ CockroachDBCustomers 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.
Citus CockroachDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and CockroachDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and CockroachDB: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). CockroachDB: SQL wire protocol (PostgreSQL-compatible). Authentication: Database credentials with TLS; client certificates or SCRAM password auth. Stacksync manages authentication, retries, and rate limits on both sides.
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Citus: The managed cloud offering is Azure Cosmos DB for PostgreSQL, which is Citus under a Microsoft brand. CockroachDB: Multi-region clusters let operators pin table data to specific regions while keeping a single logical database. Stacksync's field mapping accounts for these differences between Citus and CockroachDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Citus and CockroachDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and CockroachDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–CockroachDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and CockroachDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust 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
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
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