Two-way sync
Changes in Scaleway Postgres or Snowflake instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Point analytical queries at the synced copy in Snowflake and keep Scaleway Postgres focused on its operational workload.
Rows from Scaleway Postgres land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Snowflake sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Snowflake connection.
Changes in Scaleway Postgres or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Scaleway Postgres or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Scaleway Postgres or Snowflake record.
Track your Scaleway Postgres ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres and Snowflake.
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 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.
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.
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 Scaleway Postgres and Snowflake: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Schemas and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Snowflake side: Streams, Stages, Tasks, VARIANT Columns, plus custom fields where Snowflake exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. 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 Scaleway Postgres and Snowflake: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Snowflake and keep Scaleway Postgres focused on its operational workload.
Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Snowflake: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Scaleway Postgres and Snowflake.