Real-time
Two-way sync
Changes in Postgres Heroku or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
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
- 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
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
- 01 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 03 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 04 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| Views Read-side projections exposed to outbound syncs. | 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 scope which tables a sync reads and writes. | 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. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Materialized Views is specific to Postgres Heroku and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Primary and Unique Keys is specific to Postgres Heroku and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | JSONB Columns is specific to Postgres Heroku and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Sequences is specific to Postgres Heroku and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku TimescaleDB Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
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.
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.
Postgres Heroku
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC 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.
objects · Postgres Heroku ⇄ 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.
Postgres Heroku TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and TimescaleDB integration FAQ
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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 Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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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.
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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 Postgres Heroku 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 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.
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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.
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
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