Real-time
Two-way sync
Changes in Greenplum or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Greenplum to Supabase integration — real-time, two-way sync
Keep Greenplum and Supabase 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 Supabase
Connect Supabase 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 Supabase'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 Supabase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Supabase sync into Greenplum in real time, and result tables in Greenplum sync back into Supabase, 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.
- Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
- Mirror billing and subscription records into Supabase tables the application can join directly
Offload heavy reads
Point analytical queries at the synced copy in Greenplum and keep Supabase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Supabase land in Greenplum as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Greenplum sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Greenplum and Supabase
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 | Supabase objects | |
|---|---|---|
| Rows Read and written by key; distribution keys determine where rows live. | Tables Standard Postgres tables; the primary two-way sync target. | |
| Databases Top-level containers that scope a sync connection. | Views Read-side projections exposed to outbound syncs. | |
| Schemas Namespace tables and control which objects a sync can see. | Schemas Namespaces (public and custom) that scope sync access. | |
| Tables Heap or append-optimized tables mapped directly to sync targets. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | |
| Views Read-only projections used to shape data before syncing it out. | JSONB Columns Semi-structured payloads such as event properties or nested objects. |
What ships with Greenplum ⇄ Supabase
Connect Greenplum and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenplum or Supabase 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 Supabase record.
Observability
Monitoring
Track your Greenplum ⇄ Supabase 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 Supabase.
How the Greenplum and Supabase 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.
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Greenplum to Supabase — 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 Supabase 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
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenplum and Supabase 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 ⇄ SupabaseCustomers 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 SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenplum and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenplum and Supabase: authenticate both systems, choose the objects to sync (such as Greenplum's Rows and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Greenplum and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenplum–Supabase integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Greenplum and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Greenplum side: Partitions, Views, External tables, Rows, plus custom fields where Greenplum exposes them. On the Supabase side: Database Functions, Storage Object Metadata, Tables, Views. 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 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 Supabase.
Popular · 8 of 386
-
Greenplum ⇄ MongoDB -
Greenplum ⇄ CockroachDB -
Greenplum ⇄ Google AlloyDB -
Greenplum ⇄ Dynamo DB -
Supabase ⇄ AWS S3 -
Supabase ⇄ Actian Vector -
Supabase ⇄ Amazon Redshift -
Supabase ⇄ Apache Doris
No integrations match .
