Can you integrate Postgres Heroku with TimescaleDB?

Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and TimescaleDB: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.

What should I know about the two APIs?

Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.

What makes Postgres Heroku's data model different?

Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Postgres Heroku and TimescaleDB without custom code.

Is the Postgres Heroku–TimescaleDB integration secure?

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 Postgres Heroku and TimescaleDB records are not retained after a sync operation.

How much does a Postgres Heroku and TimescaleDB integration cost?

Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–TimescaleDB integration in-house.

Is Stacksync a managed Postgres Heroku–TimescaleDB connector?

Yes — Stacksync ships production-grade connectors for both Postgres Heroku and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

Database

Postgres Heroku to TimescaleDB integration — real-time, two-way sync

Keep Postgres Heroku 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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Live sync

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Postgres Heroku

TimescaleDB

<1s: latency
2-way: sync
100M+: records

Adopted by fast-scaling companies moving mission-critical data in real time

Case study

Migrated from Mulesoft

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Migrated from Celigo

Migrated from Heroku Connect

Migrated from Matillion

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Migrated from Fivetran

Case study

Migrated from Celigo

Why teams connect Postgres Heroku and TimescaleDB

Keep Postgres Heroku 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 Postgres Heroku 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

Expose CRM objects as Postgres tables the Heroku application can query and join directly
Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.

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.

Cross-engine sync

Keep the same dataset live in both Postgres Heroku and TimescaleDB, so each workload runs on the engine that suits it.

What you can sync between Postgres Heroku 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.

Postgres Heroku objects		TimescaleDB objects
Follower Databases Heroku-managed read replicas usable as low-impact sync sources.	⇄	Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Tables Standard Postgres tables; the primary two-way sync target for app data.	⇄	Views Standard SQL views used to shape or filter data for consumers.
Views Read-side projections exposed to outbound syncs.	⇄	Schemas Postgres namespaces used to separate synced datasets by team or environment.
Materialized Views Precomputed result sets synced outward on refresh.	⇄	Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
Schemas Namespaces that scope which tables a sync reads and writes.	⇄	Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Primary and Unique Keys Match keys for idempotent upserts from connected systems.	⇄	Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.

What ships with Postgres Heroku ⇄ TimescaleDB

Connect Postgres Heroku and TimescaleDB for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Postgres Heroku or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or TimescaleDB record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and TimescaleDB.

How the Postgres Heroku and TimescaleDB connectors work

Postgres Heroku

Integration surface: SQL wire protocol (standard PostgreSQL)
Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities: read · write
Rate limits: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

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 Postgres Heroku 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 Postgres Heroku 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.
- OAuth 2.0
- SSH tunnel
- VPC peering
Postgres Heroku connected
TimescaleDB connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Postgres Heroku 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.
- Standard objects
- Custom objects
- Auto-schema
objects · Postgres Heroku ⇄ TimescaleDB

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 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.
- Auto-map
- Type casting
- Transforms
Postgres Heroku TimescaleDB

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

Postgres Heroku and TimescaleDB integration FAQ

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.

Learn more about security

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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Postgres Heroku and TimescaleDB.

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Postgres Heroku to TimescaleDB integration — real-time, two-way sync

Adopted by fast-scaling companies moving mission-critical data in real time