Real-time
Two-way sync
Changes in Greenplum or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Greenplum to SQL Server integration — real-time, two-way sync
Keep Greenplum and SQL Server 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 Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Greenplum and SQL Server
Connect SQL Server 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 SQL Server'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 SQL Server where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SQL Server sync into Greenplum in real time, and result tables in Greenplum sync back into SQL Server, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Feed BI reporting by syncing curated Greenplum views to downstream tools on a schedule.
- 02 Consolidate data from multiple source systems into partitioned Greenplum fact tables.
- 03 Consolidate branch or plant databases into a single operational SQL Server hub
- 04 Bi-directional sync between SQL Server rows and CRM objects so .NET line-of-business apps and sales tools share one dataset
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Greenplum sync into SQL Server, 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 SQL Server focused on its operational workload.
What you can sync between Greenplum and SQL Server
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers that scope a sync connection. | Databases Instance-level databases that scope a sync's reads and writes. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespace tables and control which objects a sync can see. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Tables Heap or append-optimized tables mapped directly to sync targets. | Tables The primary sync target; rows map to records in connected systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-only projections used to shape data before syncing it out. | Views Read-side projections used as outbound sync sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| External tables Reference external files for bulk load paths alongside row-level syncs. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | External tables is specific to Greenplum and Stored Procedures to SQL Server — each maps to any object or custom field on the other side. | |
| Rows Read and written by key; distribution keys determine where rows live. | Columns Field-level mapping targets with T-SQL types. | Rows is specific to Greenplum and Columns to SQL Server — each maps to any object or custom field on the other side. |
How changes propagate between Greenplum and SQL Server
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.
Greenplum SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.
SQL Server Greenplum Sub-second propagation
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is applied to Greenplum 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.
- SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Greenplum ⇄ SQL Server
Connect Greenplum and SQL Server for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–SQL Server connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenplum or SQL Server 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 SQL Server record.
Observability
Monitoring
Track your Greenplum ⇄ SQL Server 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 SQL Server.
How the Greenplum and SQL Server 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.
SQL Server
- Integration surface
- SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
- Authentication
- Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
- Change detection
- SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
How it works
How to connect Greenplum to SQL Server — 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 SQL Server 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
SQL Server
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenplum and SQL Server 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 ⇄ SQL ServerCustomers 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 SQL ServerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenplum and SQL Server integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenplum and SQL Server: authenticate both systems, choose the objects to sync (such as Greenplum's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Greenplum and SQL Server: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Greenplum sync into SQL Server, where whatever reads from that database gets them without querying the warehouse.
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Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
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Greenplum: There is no logical-decoding-based CDC surface, so incremental syncs rely on timestamp or key-based polling. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Greenplum and SQL Server 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 Greenplum and SQL Server records are not retained after a sync operation.
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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