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Database ⇄ Data warehouse

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

Keep Scaleway Postgres and Yellowbrick 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 Yellowbrick

Connect Scaleway Postgres and Yellowbrick 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 Yellowbrick, 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 Yellowbrick in real time, and result tables in Yellowbrick sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.

Common use cases

  • Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.
  • Push warehouse-computed aggregates or segments back into operational tools such as a CRM.
  • Replicate the application database into a warehouse for analytics without writing custom pipelines
  • Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems

Offload heavy reads

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

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

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

What you can sync between Scaleway Postgres and Yellowbrick

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 Yellowbrick objects
Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. Users and Roles Access-control objects that govern what a sync service account can read and write.
Tables Primary sync unit; each table maps to an object or table on the other side of the sync. Databases Top-level containers for schemas and tables.
Views Read-only sources for shaping data before it leaves the database. Schemas Namespaces used to organize synced datasets by source or domain.
Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. Tables Columnar MPP tables; the primary targets for warehouse syncs.
Schemas Namespace tables so multiple applications or environments can be synced selectively. Views Logical views used to shape reads for BI and downstream syncs.
What ships with Scaleway Postgres ⇄ Yellowbrick

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Scaleway Postgres or Yellowbrick 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 Yellowbrick record.

Observability

Monitoring

Track your Scaleway Postgres ⇄ Yellowbrick 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 Yellowbrick.

How the Scaleway Postgres and Yellowbrick 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

Yellowbrick

Integration surface
SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
Authentication
Database credentials, with LDAP and Kerberos options in enterprise deployments
Change detection
Polling on timestamp columns; no exposed transaction-log CDC
Capabilities
read · write
Rate limits
No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works

How to connect Scaleway Postgres to Yellowbrick — 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 Yellowbrick 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
    Yellowbrick connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Scaleway Postgres and Yellowbrick 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 ⇄ Yellowbrick
    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 Yellowbrick
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Scaleway Postgres and Yellowbrick 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 Yellowbrick.

Popular · 8 of 386
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