Two-way sync
Changes in Render Postgres or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Render Postgres and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Render Postgres and SQL Server 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.
Keep the same dataset live in both Render Postgres and SQL Server, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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.
| Render Postgres objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tables The primary sync target; rows map to records in connected systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Views Read-side projections used as outbound sync sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Columns and Types is specific to Render Postgres and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side. | |
| Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Indexes and Constraints is specific to Render Postgres and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Materialized Views is specific to Render Postgres and Stored Procedures to SQL Server — each maps to any object or custom field on the other side. |
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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Render Postgres–SQL Server connection.
Changes in Render Postgres or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Render Postgres or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Render Postgres or SQL Server record.
Track your Render Postgres ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Render Postgres and SQL Server.
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.
Authenticate Render Postgres and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Render Postgres and SQL Server 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Render Postgres and SQL Server: authenticate both systems, choose the objects to sync (such as Render Postgres's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Render Postgres side: Tables, Views, Materialized Views, Schemas, plus custom fields where Render Postgres exposes them. On the SQL Server side: Schemas, Tables, Views, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Render Postgres and SQL Server: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Render Postgres and SQL Server, so each workload runs on the engine that suits it.
Render Postgres: 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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Render Postgres: External connections use a separate hostname from Render-internal ones and require TLS; access can be restricted by IP allowlist. SQL Server: Composite primary keys are not supported (single-column, auto-generated PK required). Stacksync's field mapping accounts for these differences between Render Postgres and SQL Server without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 449 integrations available for Render Postgres and SQL Server.