Real-time
Two-way sync
Changes in Oracle DB or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
Oracle DB to Postgres Heroku integration — real-time, two-way sync
Keep Oracle DB and Postgres Heroku 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 Oracle DB and Postgres Heroku
Keep Oracle DB and Postgres Heroku 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 Oracle DB and Postgres Heroku 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 Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
- 02 Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.
- 03 Reflect billing and subscription records into the app database so product logic reads local rows
- 04 Expose CRM objects as Postgres tables the Heroku application can query and join directly
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 Oracle DB and Postgres Heroku, so each workload runs on the engine that suits it.
What you can sync between Oracle DB and Postgres Heroku
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.
| Oracle DB objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary read/write surface for row-level sync over SQL | Tables Standard Postgres tables; the primary two-way sync target for app data. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Curated read-only projections exposed to downstream consumers | Views Read-side projections exposed to outbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized views Precomputed results occasionally used as stable replication sources | Materialized Views Precomputed result sets synced outward on refresh. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Schemas Namespaces that scope which tables a sync reads and writes. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| PL/SQL procedures and packages In-database logic that can consume or transform synced data | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | PL/SQL procedures and packages is specific to Oracle DB and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Partitions is specific to Oracle DB and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Oracle DB and Postgres Heroku
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.
Oracle DB Postgres Heroku Sub-second propagation
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Oracle DB 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 Oracle DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Oracle DB: Throughput bounded by database resources rather than API quotas.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Oracle DB ⇄ Postgres Heroku
Connect Oracle DB and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Oracle DB or Postgres Heroku 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 Oracle DB or Postgres Heroku record.
Observability
Monitoring
Track your Oracle DB ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Oracle DB and Postgres Heroku.
How the Oracle DB and Postgres Heroku connectors work
Oracle DB
- Integration surface
- SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
- Authentication
- database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
- Change detection
- log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by database resources rather than API quotas
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
How it works
How to connect Oracle DB to Postgres Heroku — 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 Oracle DB and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Oracle DB
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Oracle DB and Postgres Heroku 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 · Oracle DB ⇄ Postgres HerokuCustomers 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.
Oracle DB Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Oracle DB and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Oracle DB and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Oracle DB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Oracle DB and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Oracle DB–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Oracle DB and Postgres Heroku. 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 Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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 Oracle DB side: PL/SQL procedures and packages, Partitions, JSON columns, Tables, plus custom fields where Oracle DB exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
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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