Real-time
Two-way sync
Changes in TimescaleDB or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
TimescaleDB to Tinybird integration — real-time, two-way sync
Keep TimescaleDB and Tinybird 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 TimescaleDB and Tinybird
Connect TimescaleDB and Tinybird 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 TimescaleDB's rows in Tinybird, 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 TimescaleDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in TimescaleDB sync into Tinybird in real time, and result tables in Tinybird sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
- Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
- Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Serve warehouse results at database speed
Aggregates or model outputs computed in Tinybird sync into TimescaleDB, where whatever reads from that database gets them without querying the warehouse.
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 Tinybird and keep TimescaleDB focused on its operational workload.
What you can sync between TimescaleDB and Tinybird
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.
| TimescaleDB objects | Tinybird objects | |
|---|---|---|
| Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | |
| Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Tokens Scoped credentials that control read and append rights per resource. | |
| Views Standard SQL views used to shape or filter data for consumers. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Schemas Postgres namespaces used to separate synced datasets by team or environment. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | |
| Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | |
| Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. |
What ships with TimescaleDB ⇄ Tinybird
Connect TimescaleDB and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every TimescaleDB–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever TimescaleDB or Tinybird 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 TimescaleDB or Tinybird record.
Observability
Monitoring
Track your TimescaleDB ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between TimescaleDB and Tinybird.
How the TimescaleDB and Tinybird connectors work
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.
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect TimescaleDB to Tinybird — 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 TimescaleDB and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
TimescaleDB
connected
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the TimescaleDB and Tinybird 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 · TimescaleDB ⇄ TinybirdCustomers 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.
TimescaleDB TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
TimescaleDB and Tinybird integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between TimescaleDB and Tinybird: authenticate both systems, choose the objects to sync (such as TimescaleDB's Continuous Aggregates and Regular PostgreSQL Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both TimescaleDB and Tinybird. 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 TimescaleDB: 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. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. 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 Tinybird side: Data Sources, Pipes, API Endpoints, Materialized Views, plus custom fields where Tinybird exposes them. On the TimescaleDB side: Views, Schemas, Hypertables, Chunks. 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 TimescaleDB and Tinybird: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Tinybird sync into TimescaleDB, where whatever reads from that database gets them without querying the warehouse.
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 TimescaleDB and Tinybird.
Popular · 8 of 386
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TimescaleDB ⇄ Materialize -
TimescaleDB ⇄ Rockset -
TimescaleDB ⇄ Starburst Enterprise -
TimescaleDB ⇄ StarRocks -
Tinybird ⇄ Dynamo DB -
Tinybird ⇄ IBM Db2 -
Tinybird ⇄ Firebase -
Tinybird ⇄ SingleStore
No integrations match .
