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Data warehouse

Azure Synapse Analytics to Greenplum integration — real-time, two-way sync

Keep Azure Synapse Analytics and Greenplum in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Azure Synapse Analytics and Greenplum

Keep tables consistent across Azure Synapse Analytics and Greenplum, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Stacksync syncs tables between Azure Synapse Analytics and Greenplum continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.

Common use cases

  • 01 Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
  • 02 Consolidate SaaS data alongside lake data so analysts join both through one SQL surface.
  • 03 Keep Greenplum and a cloud warehouse in sync during a migration so both platforms serve consistent data.
  • 04 Feed BI reporting by syncing curated Greenplum views to downstream tools on a schedule.

Common sync patterns

Migration without a big bang

When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

What you can sync between Azure Synapse Analytics and Greenplum

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.

Azure Synapse Analytics objects Greenplum objects How this pairing syncs
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. External tables Reference external files for bulk load paths alongside row-level syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Curated projections used when downstream tools should not read base tables directly. Views Read-only projections used to shape data before syncing it out. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Namespaces that separate staging, integration, and presentation layers. Schemas Namespace tables and control which objects a sync can see. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Rows Read and written by key; distribution keys determine where rows live. Materialized views is specific to Azure Synapse Analytics and Rows to Greenplum — each maps to any object or custom field on the other side.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Databases Top-level containers that scope a sync connection. SQL pools is specific to Azure Synapse Analytics and Databases to Greenplum — each maps to any object or custom field on the other side.
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Tables Heap or append-optimized tables mapped directly to sync targets. Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Tables to Greenplum — each maps to any object or custom field on the other side.

How changes propagate between Azure Synapse Analytics and Greenplum

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.

Azure Synapse Analytics Greenplum Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

DeliveryEach detected change is applied to Greenplum as a row-level write, with types converted between the two schemas.

Greenplum Azure Synapse Analytics Interval-based propagation

DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.

DeliveryEach detected change is applied to Azure Synapse Analytics as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Greenplum: Bounded by cluster resources and concurrency settings rather than an API quota.
What ships with Azure Synapse Analytics ⇄ Greenplum

Connect Azure Synapse Analytics and Greenplum for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Greenplum connection.

Real-time

Two-way sync

Changes in Azure Synapse Analytics or Greenplum instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics or Greenplum 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 Azure Synapse Analytics or Greenplum record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ Greenplum sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Greenplum.

How the Azure Synapse Analytics and Greenplum connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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.
How it works

How to connect Azure Synapse Analytics to Greenplum — 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.

  1. 01

    Connect your apps

    Authenticate Azure Synapse Analytics and Greenplum with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Azure Synapse Analytics connected
    Greenplum connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Synapse Analytics and Greenplum 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Azure Synapse Analytics ⇄ Greenplum
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Azure Synapse Analytics Greenplum
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and Greenplum integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 473 integrations available for Azure Synapse Analytics and Greenplum.

Popular · 5 of 473
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