Real-time
Two-way sync
Changes in Postgres Heroku or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
Postgres Heroku to Redis Enterprise integration — real-time, two-way sync
Keep Postgres Heroku 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 Postgres Heroku and Redis Enterprise
Keep Postgres Heroku and Redis Enterprise synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Postgres Heroku and Redis Enterprise continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
- Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Postgres Heroku and Redis Enterprise, so each workload runs on the engine that suits it.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | Redis Enterprise objects | |
|---|---|---|
| Schemas Namespaces that scope which tables a sync reads and writes. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. |
What ships with Postgres Heroku ⇄ Redis Enterprise
Connect Postgres Heroku and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Redis Enterprise record.
Observability
Monitoring
Track your Postgres Heroku ⇄ 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 Postgres Heroku and Redis Enterprise.
How the Postgres Heroku and Redis Enterprise connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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 Postgres Heroku 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.
Postgres Heroku
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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 · Postgres Heroku ⇄ 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.
Postgres Heroku Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Schemas and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Redis Enterprise: Keyspace notifications are delivered over pub/sub with no replay, so reliable change capture usually pairs them with Streams or periodic reconciliation. Stacksync's field mapping accounts for these differences between Postgres Heroku and Redis Enterprise 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 Postgres Heroku and Redis Enterprise records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Redis Enterprise. 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Postgres Heroku and Redis Enterprise.
Popular · 8 of 386
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Postgres Heroku ⇄ Airtable -
Postgres Heroku ⇄ AWS Aurora MySQL - Postgres Heroku ⇄ AWS Aurora PostgreSQL
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Postgres Heroku ⇄ MongoDB -
Redis Enterprise ⇄ Dynamo DB -
Redis Enterprise ⇄ IBM Db2 -
Redis Enterprise ⇄ Firebase -
Redis Enterprise ⇄ SingleStore
No integrations match .
