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Database ⇄ Data warehouse

Scaleway Postgres to Snowflake integration — real-time, two-way sync

Keep Scaleway Postgres and Snowflake 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 Scaleway Postgres and Snowflake

Connect Scaleway Postgres and Snowflake with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Scaleway Postgres's rows in Snowflake, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Scaleway Postgres where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Scaleway Postgres sync into Snowflake in real time, and result tables in Snowflake sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.

Common use cases

  • Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
  • Replicate the application database into a warehouse for analytics without writing custom pipelines

Offload heavy reads

Point analytical queries at the synced copy in Snowflake and keep Scaleway Postgres focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Scaleway Postgres land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Snowflake sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Scaleway Postgres and Snowflake

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.

Scaleway Postgres objects Snowflake objects
Schemas Namespace tables so multiple applications or environments can be synced selectively. Tables The main landing and activation target for synced records.
Sequences Generate primary keys; sync tooling must respect them when writing rows. Views Modeled projections used as the source side of outbound syncs.
Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. Materialized Views Precomputed results synced outward for low-latency reads.
Tables Primary sync unit; each table maps to an object or table on the other side of the sync. Streams Row-level change records on a table, consumed to process deltas instead of full scans.
Views Read-only sources for shaping data before it leaves the database. Stages File staging areas used for bulk loads into synced tables.
Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. Tasks Scheduled SQL used to transform synced data after it lands.
What ships with Scaleway Postgres ⇄ Snowflake

Connect Scaleway Postgres and Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Snowflake connection.

Real-time

Two-way sync

Changes in Scaleway Postgres or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Scaleway Postgres or Snowflake 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 Scaleway Postgres or Snowflake record.

Observability

Monitoring

Track your Scaleway Postgres ⇄ Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Scaleway Postgres and Snowflake.

How the Scaleway Postgres and Snowflake connectors work

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

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect Scaleway Postgres to Snowflake — 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.

  1. 01

    Connect your apps

    Authenticate Scaleway Postgres and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Scaleway Postgres connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Scaleway Postgres and Snowflake 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Scaleway Postgres ⇄ Snowflake
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Scaleway Postgres Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Scaleway Postgres and Snowflake integration FAQ

SECURITY

Security teams love 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 386 integrations available for Scaleway Postgres and Snowflake.

Popular · 8 of 386
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