Real-time
Two-way sync
Changes in Greenplum or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Greenplum to Redis Enterprise integration — real-time, two-way sync
Keep Greenplum and Redis Enterprise 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 Redis Enterprise
Connect Redis Enterprise 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 Redis Enterprise'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 Redis Enterprise where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Redis Enterprise sync into Greenplum in real time, and result tables in Greenplum sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Common use cases
- Keep Greenplum and a cloud warehouse in sync during a migration so both platforms serve consistent data.
- Feed BI reporting by syncing curated Greenplum views to downstream tools on a schedule.
- Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
- Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise 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 Redis Enterprise, 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.
What you can sync between Greenplum and Redis Enterprise
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 | Redis Enterprise objects | |
|---|---|---|
| Rows Read and written by key; distribution keys determine where rows live. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Databases Top-level containers that scope a sync connection. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Schemas Namespace tables and control which objects a sync can see. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Tables Heap or append-optimized tables mapped directly to sync targets. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Views Read-only projections used to shape data before syncing it out. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. |
What ships with Greenplum ⇄ Redis Enterprise
Connect Greenplum and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenplum or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your Greenplum ⇄ Redis Enterprise 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 Redis Enterprise.
How the Greenplum and Redis Enterprise 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.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Greenplum to Redis Enterprise — 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 Redis Enterprise 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
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenplum and Redis Enterprise 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 ⇄ Redis EnterpriseCustomers 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 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenplum and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Greenplum and Redis Enterprise: 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.
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On the Greenplum side: Tables, Partitions, Views, External tables, plus custom fields where Greenplum exposes them. On the Redis Enterprise side: Hashes, JSON documents, Sets, Sorted Sets. 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 Greenplum and Redis Enterprise: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Redis Enterprise land in Greenplum as they change, replacing hand-built CDC and batch extract jobs.
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Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Greenplum: Rows are distributed across segment hosts by a per-table distribution key; joins that co-locate on that key avoid cross-segment data motion. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between Greenplum and Redis Enterprise without custom code.
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 Redis Enterprise.
Popular · 8 of 386
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Greenplum ⇄ Google Cloud Spanner - Greenplum ⇄ Google Cloud SQL
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Greenplum ⇄ IBM AS/400 -
Greenplum ⇄ IBM Informix -
Redis Enterprise ⇄ Firebolt -
Redis Enterprise ⇄ Google Cloud Platform - Redis Enterprise ⇄ IBM Netezza
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Redis Enterprise ⇄ Materialize
No integrations match .
