Real-time
Two-way sync
Changes in Azure SQL Database or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
Azure SQL Database to TimescaleDB integration — real-time, two-way sync
Keep Azure SQL Database 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure SQL Database and TimescaleDB
Keep Azure SQL Database 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 Azure SQL Database 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 Azure SQL tables to a warehouse without building custom CDC pipelines.
- 02 Consolidate data from several line-of-business apps into one Azure SQL database as an integration hub.
- 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Common sync patterns
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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between Azure SQL Database 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.
| Azure SQL Database objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | 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 Namespaces that organize tables and control which objects a sync user can reach. | 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 The primary sync target; rows map one-to-one to records in the paired system. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Tables is specific to Azure SQL Database and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Rows and columns is specific to Azure SQL Database and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Stored procedures is specific to Azure SQL Database and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Change tracking / CDC tables is specific to Azure SQL Database and Chunks to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Azure SQL Database 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.
Azure SQL Database TimescaleDB Sub-second propagation
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Azure SQL Database 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 Azure SQL Database as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Azure SQL Database ⇄ TimescaleDB
Connect Azure SQL Database and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure SQL Database 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 Azure SQL Database or TimescaleDB record.
Observability
Monitoring
Track your Azure SQL Database ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and TimescaleDB.
How the Azure SQL Database and TimescaleDB connectors work
Azure SQL Database
- Integration surface
- SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
- Authentication
- SQL authentication (database credentials) or Microsoft Entra ID authentication
- Change detection
- Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
- Capabilities
- read · write · CDC
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 Azure SQL Database 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 Azure SQL Database 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.
Azure SQL Database
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure SQL Database 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 · Azure SQL Database ⇄ 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.
Azure SQL Database TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure SQL Database and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure SQL Database and TimescaleDB: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Azure SQL Database: Both change tracking (net changes per row) and change data capture (full change history from the transaction log) are available, giving two native options for incremental sync. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Azure SQL Database and TimescaleDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure SQL Database and TimescaleDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure SQL Database and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure SQL Database–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure SQL Database and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 366 integrations available for Azure SQL Database and TimescaleDB.
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