Real-time
Two-way sync
Changes in Firebolt or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Firebolt to Scaleway Postgres integration — real-time, two-way sync
Keep Firebolt 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
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Migrated from Celigo
Why teams connect Firebolt and Scaleway Postgres
Connect Scaleway Postgres and Firebolt 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 Firebolt, 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 Firebolt in real time, and result tables in Firebolt sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
- Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
- 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
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Firebolt and keep Scaleway Postgres focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Scaleway Postgres land in Firebolt as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Firebolt 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.
| Firebolt objects | Scaleway Postgres objects | |
|---|---|---|
| Views Curated query surfaces commonly used as sources for reverse ETL. | Views Read-only sources for shaping data before it leaves the database. | |
| Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Engines Compute resources that must be running for a sync to read or write. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Databases Logical containers holding the tables a sync targets. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Tables Managed columnar tables written with SQL; the main sync destination. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| External tables References to files in object storage used to stage bulk loads. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. |
What ships with Firebolt ⇄ Scaleway Postgres
Connect Firebolt and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebolt–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebolt 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 Firebolt or Scaleway Postgres record.
Observability
Monitoring
Track your Firebolt ⇄ 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 Firebolt and Scaleway Postgres.
How the Firebolt and Scaleway Postgres connectors work
Firebolt
- Integration surface
- SQL over a REST API, with JDBC, Python, and Node.js SDKs
- Authentication
- Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
- Change detection
- Polling; Firebolt is an analytics destination and does not expose a change feed
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput depends on the engine size attached to the workload
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 Firebolt 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 Firebolt 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.
Firebolt
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebolt 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 · Firebolt ⇄ 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.
Firebolt Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebolt and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebolt and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Firebolt's Views and Aggregating indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebolt and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebolt–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebolt 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 Firebolt: Polling; Firebolt is an analytics destination and does not expose a change feed. 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 Firebolt side: Databases, Tables, External tables, Views, plus custom fields where Firebolt exposes them. On the Scaleway Postgres side: Tables, Views, Materialized views, Schemas. 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.
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 Firebolt and Scaleway Postgres.
Popular · 8 of 386
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Firebolt ⇄ IBM Db2 -
Firebolt ⇄ Firebase -
Firebolt ⇄ SingleStore -
Firebolt ⇄ Amazon Aurora -
Scaleway Postgres ⇄ Tinybird -
Scaleway Postgres ⇄ Vertica -
Scaleway Postgres ⇄ Yellowbrick -
Scaleway Postgres ⇄ Snowflake
No integrations match .
