Real-time
Two-way sync
Changes in Greenplum or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Greenplum to Postgres Heroku integration — real-time, two-way sync
Keep Greenplum 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 Greenplum and Postgres Heroku
Connect Postgres Heroku and Greenplum with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Postgres Heroku's rows in Greenplum, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Postgres Heroku where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Postgres Heroku sync into Greenplum in real time, and result tables in Greenplum sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.
Common use cases
- Load operational data from CRMs, ERPs, and production databases into Greenplum for MPP analytics.
- Publish segments, scores, and aggregates computed in Greenplum back into business tools where teams act on them.
- 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
Serve warehouse results at database speed
Aggregates or model outputs computed in Greenplum sync into Postgres Heroku, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Greenplum and keep Postgres Heroku focused on its operational workload.
What you can sync between Greenplum 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.
| Greenplum objects | Postgres Heroku objects | |
|---|---|---|
| Views Read-only projections used to shape data before syncing it out. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| External tables Reference external files for bulk load paths alongside row-level syncs. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Rows Read and written by key; distribution keys determine where rows live. | Views Read-side projections exposed to outbound syncs. | |
| Databases Top-level containers that scope a sync connection. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Schemas Namespace tables and control which objects a sync can see. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Tables Heap or append-optimized tables mapped directly to sync targets. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. |
What ships with Greenplum ⇄ Postgres Heroku
Connect Greenplum and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenplum 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 Greenplum or Postgres Heroku record.
Observability
Monitoring
Track your Greenplum ⇄ 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 Greenplum and Postgres Heroku.
How the Greenplum and Postgres Heroku connectors work
Greenplum
- Integration surface
- PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers
- Authentication
- Database credentials
- Change detection
- Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC
- Capabilities
- read · write
- Rate limits
- Bounded by cluster resources and concurrency settings rather than an API quota.
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 Greenplum 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 Greenplum 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.
Greenplum
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenplum 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 · Greenplum ⇄ 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.
Greenplum Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenplum and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Greenplum and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Greenplum's Views and External tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Greenplum 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 Greenplum and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenplum–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Greenplum 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 Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. 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 Greenplum side: Databases, Schemas, Tables, Partitions, plus custom fields where Greenplum exposes them. On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Greenplum and Postgres Heroku.
Popular · 8 of 386
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Greenplum ⇄ MySQL -
Greenplum ⇄ MariaDB -
Greenplum ⇄ SQL Server -
Greenplum ⇄ Airtable -
Postgres Heroku ⇄ IBM Netezza -
Postgres Heroku ⇄ Materialize -
Postgres Heroku ⇄ Rockset -
Postgres Heroku ⇄ Starburst Enterprise
No integrations match .
