Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or CockroachDB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to CockroachDB integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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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Why teams connect AWS Aurora PostgreSQL and CockroachDB
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- 02 Feed operational dashboards from a read replica while the writer handles sync traffic.
- 03 Keep reference data consistent between CockroachDB and regional application databases.
- 04 Consolidate data from several SaaS tools into one distributed SQL store that survives zone failures.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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.
| AWS Aurora PostgreSQL objects | CockroachDB objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Schemas Namespaces within a database used to isolate synced tables from application tables. | Databases and schemas is specific to AWS Aurora PostgreSQL and Schemas to CockroachDB — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Views Read-only projections used as curated sync sources. | Rows is specific to AWS Aurora PostgreSQL and Views to CockroachDB — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Indexes Secondary indexes that keep sync lookup queries fast on key columns. | Columns is specific to AWS Aurora PostgreSQL and Indexes to CockroachDB — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Sequences ID generators that matter when writes originate from an external system. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Sequences to CockroachDB — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Changefeeds Built-in CDC streams that emit row-level changes to external sinks. | Views and materialized views is specific to AWS Aurora PostgreSQL and Changefeeds to CockroachDB — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL CockroachDB Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is applied to CockroachDB as a row-level write, with types converted between the two schemas.
CockroachDB AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL ⇄ CockroachDB
Connect AWS Aurora PostgreSQL and CockroachDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–CockroachDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or CockroachDB record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ CockroachDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and CockroachDB.
How the AWS Aurora PostgreSQL and CockroachDB connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
CockroachDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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.
AWS Aurora PostgreSQL CockroachDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and CockroachDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and CockroachDB: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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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AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. CockroachDB: Changefeeds provide native CDC, streaming row-level changes to sinks such as Kafka, cloud storage, or webhook endpoints. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and CockroachDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–CockroachDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL 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:
