Real-time
Two-way sync
Changes in MySQL or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
MySQL to Render Postgres integration — real-time, two-way sync
Keep MySQL and Render Postgres 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 MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect MySQL and Render Postgres
Keep MySQL and Render Postgres 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 MySQL and Render Postgres 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 Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
- 02 Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical
- 03 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
- 04 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both MySQL and Render Postgres, 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 MySQL and Render Postgres
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.
| MySQL objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map to records in connected systems. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-side projections used as outbound sync sources. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Primary and Unique Keys is specific to MySQL and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| JSON Columns Validated semi-structured payloads for nested SaaS data. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | JSON Columns is specific to MySQL and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Stored Procedures is specific to MySQL and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Triggers is specific to MySQL and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between MySQL and Render Postgres
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.
MySQL Render Postgres Sub-second propagation
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres MySQL Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is applied to MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with MySQL ⇄ Render Postgres
Connect MySQL and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MySQL–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MySQL or Render Postgres 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 MySQL or Render Postgres record.
Observability
Monitoring
Track your MySQL ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MySQL and Render Postgres.
How the MySQL and Render Postgres connectors work
MySQL
- Integration surface
- SQL wire protocol (MySQL client/server protocol)
- Authentication
- Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect MySQL to Render Postgres — 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 MySQL and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MySQL
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MySQL and Render Postgres 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 · MySQL ⇄ Render PostgresCustomers 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.
MySQL Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MySQL and Render Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MySQL and Render Postgres: authenticate both systems, choose the objects to sync (such as MySQL's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 MySQL and Render Postgres 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 MySQL and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–Render Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both MySQL and Render Postgres. 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 MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). On Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. 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 MySQL side: Primary and Unique Keys, JSON Columns, Stored Procedures, Triggers, plus custom fields where MySQL exposes them. On the Render Postgres side: Schemas, Columns and Types, Indexes and Constraints, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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
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 456 integrations available for MySQL and Render Postgres.
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