Skip to content
Database

Connect TimescaleDB to any app with two-way sync.

Two-way sync TimescaleDB across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Object catalog

What Stacksync syncs in TimescaleDB.

These objects sync between TimescaleDB and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where TimescaleDB exposes them.

Hypertables
Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
Chunks
Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Continuous Aggregates
Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.
Regular PostgreSQL Tables
Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Views
Standard SQL views used to shape or filter data for consumers.
Schemas
Postgres namespaces used to separate synced datasets by team or environment.
API surface

How Stacksync connects to TimescaleDB.

The connector runs on TimescaleDB's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
What ships with TimescaleDB

Connect TimescaleDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in TimescaleDB instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 TimescaleDB record.

Observability

Monitoring

Track your TimescaleDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the TimescaleDB connector.

TimescaleDB (from TigerData, the company formerly named Timescale) is bought by data and platform engineering teams that want time-series performance without leaving PostgreSQL; typical workloads are IoT sensor data, industrial and energy metrics, and event analytics. Because it extends Postgres, it usually holds both high-volume time-series Hypertables and the regular relational tables that give that data context, making it a common hub for operational analytics.

  • Data engineering
  • Platform engineering
  • Analytics engineers
  • IoT engineering teams
  1. Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.

  2. Feed continuous-aggregate rollups, such as daily usage per account, into Salesforce or HubSpot fields for health scoring.

  3. Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.

  4. Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.

  5. Consolidate metrics from several services into one hypertable to serve a single reporting layer.

  6. Land events and device readings from operational systems into Hypertables while TimescaleDB handles time-based Chunk partitioning automatically.

All TimescaleDB integrations

Pick the system you need to keep in sync with TimescaleDB. Each page covers the sync setup, field mapping, and common workflows for that pair.

How it works

Set up TimescaleDB in minutes, without APIs.

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.

  1. 01

    Connect your apps

    Authenticate TimescaleDB with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the TimescaleDB objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · TimescaleDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    TimescaleDB database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

TimescaleDB connector FAQ

What can I sync with the TimescaleDB connector?

TimescaleDB's core objects — Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to TimescaleDB?

Via SQL wire protocol (PostgreSQL), authenticated with Database credentials. Changes are detected as follows — 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. Stacksync manages rate limits, retries, and schema changes automatically.

Is the TimescaleDB connector two-way?

Yes. Changes made in TimescaleDB propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a TimescaleDB integration take to set up?

Most TimescaleDB integrations go live in minutes: authenticate TimescaleDB and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is TimescaleDB data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. TimescaleDB data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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:

Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.