Real-time
Two-way sync
Changes in Dynamo DB or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Dynamo DB to Greenplum integration — real-time, two-way sync
Keep Dynamo DB 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Dynamo DB and Greenplum
Connect Dynamo DB 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 Dynamo DB'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 Dynamo DB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Dynamo DB sync into Greenplum in real time, and result tables in Greenplum sync back into Dynamo DB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Publish segments, scores, and aggregates computed in Greenplum back into business tools where teams act on them.
- 02 Keep Greenplum and a cloud warehouse in sync during a migration so both platforms serve consistent data.
- 03 Consolidate multi-region Global Tables data into a single reporting store.
- 04 Replace ad-hoc export scripts with continuous sync driven by DynamoDB Streams.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Greenplum sync into Dynamo DB, 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 Dynamo DB focused on its operational workload.
What you can sync between Dynamo DB 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.
| Dynamo DB objects | Greenplum objects | How this pairing syncs | |
|---|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | Tables Heap or append-optimized tables mapped directly to sync targets. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | DynamoDB Streams is specific to Dynamo DB and Partitions to Greenplum — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Views Read-only projections used to shape data before syncing it out. | Global Tables is specific to Dynamo DB and Views to Greenplum — each maps to any object or custom field on the other side. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | External tables Reference external files for bulk load paths alongside row-level syncs. | Items is specific to Dynamo DB and External tables to Greenplum — each maps to any object or custom field on the other side. | |
| Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Rows Read and written by key; distribution keys determine where rows live. | Attributes is specific to Dynamo DB and Rows to Greenplum — each maps to any object or custom field on the other side. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Databases Top-level containers that scope a sync connection. | Partition and Sort Keys is specific to Dynamo DB and Databases to Greenplum — each maps to any object or custom field on the other side. |
How changes propagate between Dynamo DB 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.
Dynamo DB Greenplum Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is applied to Greenplum as a row-level write, with types converted between the two schemas.
Greenplum Dynamo DB 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 Dynamo DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
- Greenplum: Bounded by cluster resources and concurrency settings rather than an API quota.
What ships with Dynamo DB ⇄ Greenplum
Connect Dynamo DB and Greenplum for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Greenplum connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dynamo DB 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 Dynamo DB or Greenplum record.
Observability
Monitoring
Track your Dynamo DB ⇄ Greenplum sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dynamo DB and Greenplum.
How the Dynamo DB and Greenplum connectors work
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
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 Dynamo DB 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.
- 01
Connect your apps
Authenticate Dynamo DB 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.
Dynamo DB
connected
Greenplum
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dynamo DB 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.
objects · Dynamo DB ⇄ GreenplumCustomers 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.
Dynamo DB GreenplumCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dynamo DB and Greenplum integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dynamo DB and Greenplum: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and DynamoDB Streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Dynamo DB and Greenplum. 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 Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. On Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. 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: Partitions, Views, External tables, Rows, plus custom fields where Greenplum exposes them. On the Dynamo DB side: Global Tables, Tables, Items, Attributes. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Dynamo DB and Greenplum: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Greenplum sync into Dynamo DB, where whatever reads from that database gets them without querying the warehouse.
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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