Real-time
Two-way sync
Changes in Postgres Heroku or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
Postgres Heroku to Scaleway Postgres integration — real-time, two-way sync
Keep Postgres Heroku and Scaleway 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Scaleway Postgres
Keep Postgres Heroku and Scaleway 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 Postgres Heroku and Scaleway 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 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 03 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- 04 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Postgres Heroku and Scaleway 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 Postgres Heroku and Scaleway 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.
| Postgres Heroku objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-side projections exposed to outbound syncs. | Views Read-only sources for shaping data before it leaves the database. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Sequences is specific to Postgres Heroku and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Follower Databases is specific to Postgres Heroku and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and Scaleway 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.
Postgres Heroku Scaleway Postgres Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Postgres Heroku Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Postgres Heroku ⇄ Scaleway Postgres
Connect Postgres Heroku and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Scaleway 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 Postgres Heroku or Scaleway Postgres record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Scaleway Postgres.
How the Postgres Heroku and Scaleway Postgres connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Postgres Heroku to Scaleway 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 Postgres Heroku and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Postgres Heroku
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and Scaleway 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 · Postgres Heroku ⇄ Scaleway 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.
Postgres Heroku Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Postgres Heroku and Scaleway Postgres: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Postgres Heroku and Scaleway Postgres, so each workload runs on the engine that suits it.
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Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Scaleway Postgres: Postgres-native types such as JSONB and arrays are available, and a sync layer must map them onto flat SaaS field types. Stacksync's field mapping accounts for these differences between Postgres Heroku and Scaleway Postgres 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 Postgres Heroku and Scaleway Postgres records are not retained after a sync operation.
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
Every pair below is a real-time, two-way sync. Search all 385 integrations available for Postgres Heroku and Scaleway Postgres.
Popular · 8 of 385
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Postgres Heroku ⇄ Amazon RDS -
Postgres Heroku ⇄ Supabase -
Postgres Heroku ⇄ MySQL -
Postgres Heroku ⇄ MariaDB -
Scaleway Postgres ⇄ PostgreSQL - Scaleway Postgres ⇄ Amazon RDS
- Scaleway Postgres ⇄ Supabase
- Scaleway Postgres ⇄ MySQL
No integrations match .
