Real-time
Two-way sync
Changes in IBM Db2 or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
IBM Db2 to Postgres Heroku integration — real-time, two-way sync
Keep IBM Db2 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
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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 IBM Db2 and Postgres Heroku
Keep IBM Db2 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 IBM Db2 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 Sync SaaS data into Db2 tables that existing enterprise applications and reports already consume.
- 02 Replicate Db2 tables into a cloud warehouse continuously instead of nightly batch extracts.
- 03 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 04 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Common sync patterns
Cross-engine sync
Keep the same dataset live in both IBM Db2 and Postgres Heroku, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between IBM Db2 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.
| IBM Db2 objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces separating synced data from application and system objects. | 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. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | 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 Read-only projections often used to expose curated slices to a sync. | 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. | |
| Sequences ID generation relevant when external systems insert rows. | Sequences Generate surrogate keys for rows created by inbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Databases The connection target; each database holds the schemas a sync addresses. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Databases is specific to IBM Db2 and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Indexes Support fast key lookups on sync match columns. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Indexes is specific to IBM Db2 and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between IBM Db2 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.
IBM Db2 Postgres Heroku Sub-second propagation
DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku IBM Db2 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 IBM Db2 as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with IBM Db2 ⇄ Postgres Heroku
Connect IBM Db2 and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever IBM Db2 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 IBM Db2 or Postgres Heroku record.
Observability
Monitoring
Track your IBM Db2 ⇄ 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 IBM Db2 and Postgres Heroku.
How the IBM Db2 and Postgres Heroku connectors work
IBM Db2
- Integration surface
- SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
- Authentication
- Database credentials, typically backed by OS or LDAP authentication
- Change detection
- Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by instance resources and workload management settings
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 IBM Db2 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 IBM Db2 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.
IBM Db2
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the IBM Db2 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 · IBM Db2 ⇄ 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.
IBM Db2 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
IBM Db2 and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between IBM Db2 and Postgres Heroku: authenticate both systems, choose the objects to sync (such as IBM Db2's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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IBM Db2: Db2 LUW supports both row-organized and column-organized tables, letting the same database serve transactional and analytical access. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between IBM Db2 and Postgres Heroku 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 IBM Db2 and Postgres Heroku 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 IBM Db2 and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Db2–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both IBM Db2 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 IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. 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.
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:
