Real-time
Two-way sync
Changes in Scaleway Postgres or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
Scaleway Postgres to TimescaleDB integration — real-time, two-way sync
Keep Scaleway Postgres and TimescaleDB 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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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Scaleway Postgres and TimescaleDB
Keep Scaleway Postgres and TimescaleDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Scaleway Postgres and TimescaleDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 02 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Scaleway Postgres and TimescaleDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between Scaleway Postgres and TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only sources for shaping data before it leaves the database. | Views Standard SQL views used to shape or filter data for consumers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Tables is specific to Scaleway Postgres and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Materialized views is specific to Scaleway Postgres and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Sequences is specific to Scaleway Postgres and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Columns is specific to Scaleway Postgres and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Scaleway Postgres and TimescaleDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Scaleway Postgres TimescaleDB Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Scaleway Postgres Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Scaleway Postgres ⇄ TimescaleDB
Connect Scaleway Postgres and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Scaleway Postgres or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Scaleway Postgres ⇄ TimescaleDB 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 TimescaleDB.
How the Scaleway Postgres and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Scaleway Postgres to TimescaleDB — 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 Scaleway Postgres and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Scaleway Postgres
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Scaleway Postgres and TimescaleDB 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 · Scaleway Postgres ⇄ TimescaleDBCustomers 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.
Scaleway Postgres TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Scaleway Postgres and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Scaleway Postgres and TimescaleDB: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Scaleway Postgres side: Tables, Views, Materialized views, Schemas, plus custom fields where Scaleway Postgres exposes them. On the TimescaleDB side: Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views. 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 Scaleway Postgres and TimescaleDB: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Scaleway Postgres and TimescaleDB, so each workload runs on the engine that suits it.
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Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Scaleway Postgres and TimescaleDB without custom code.
SECURITY
Security teams trust 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
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 368 integrations available for Scaleway Postgres and TimescaleDB.
Popular · 4 of 368
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Scaleway Postgres ⇄ Google AlloyDB -
Scaleway Postgres ⇄ Firebase -
TimescaleDB ⇄ MySQL -
TimescaleDB ⇄ SQL Server
No integrations match .
