Real-time
Two-way sync
Changes in Rockset or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Rockset to Scaleway Postgres integration — real-time, two-way sync
Keep Rockset 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 Rockset and Scaleway Postgres
Connect Scaleway Postgres and Rockset 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 Rockset, 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 Rockset in real time, and result tables in Rockset sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
- Read query results back into an operational database to expose computed metrics to applications.
- Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
- Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
Operational data in the warehouse, minus the pipeline
Rows from Scaleway Postgres land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Rockset sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Rockset 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.
| Rockset objects | Scaleway Postgres objects | |
|---|---|---|
| Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Workspaces Namespaces that group collections and query lambdas per team or environment. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Aliases Stable names that point at collections, used to swap datasets without changing queries. | Views Read-only sources for shaping data before it leaves the database. | |
| Integrations Managed source connections (databases, streams, object storage) feeding collections. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Virtual Instances Isolated compute units that separate ingest from query workloads. | Schemas Namespace tables so multiple applications or environments can be synced selectively. |
What ships with Rockset ⇄ Scaleway Postgres
Connect Rockset and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rockset–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rockset 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 Rockset or Scaleway Postgres record.
Observability
Monitoring
Track your Rockset ⇄ 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 Rockset and Scaleway Postgres.
How the Rockset and Scaleway Postgres connectors work
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
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 Rockset 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 Rockset 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.
Rockset
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rockset 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 · Rockset ⇄ 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.
Rockset Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rockset and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Rockset and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Rockset's Documents and Workspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Rockset and Scaleway 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. 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 Rockset side: Collections, Documents, Workspaces, Query Lambdas, plus custom fields where Rockset exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Rockset and Scaleway Postgres: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Scaleway Postgres land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
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 Rockset and Scaleway Postgres.
Popular · 8 of 386
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Rockset ⇄ Postgres Heroku -
Rockset ⇄ Airtable -
Rockset ⇄ AWS Aurora MySQL - Rockset ⇄ AWS Aurora PostgreSQL
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Scaleway Postgres ⇄ Snowflake -
Scaleway Postgres ⇄ BigQuery -
Scaleway Postgres ⇄ MotherDuck -
Scaleway Postgres ⇄ Databricks
No integrations match .
