Two-way sync
Changes in Azure SQL Database or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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 | |
|---|---|---|
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Views Standard SQL views used to shape or filter data for consumers. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–TimescaleDB connection.
Changes in Azure SQL Database or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or TimescaleDB record.
Track your Azure SQL Database ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and TimescaleDB.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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 Stored procedures and Change tracking / CDC tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure SQL Database and TimescaleDB.