Real-time
Two-way sync
Changes in Postgres Heroku or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Database
Postgres Heroku to RavenDB integration — real-time, two-way sync
Keep Postgres Heroku and RavenDB 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 RavenDB
Keep Postgres Heroku and RavenDB 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 RavenDB 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
- 01 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Mirror reference data from relational systems into RavenDB collections that serve application reads.
- 04 Consolidate documents from distributed RavenDB clusters into one reporting store.
Common sync patterns
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 RavenDB, so each workload runs on the engine that suits it.
What you can sync between Postgres Heroku and RavenDB
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 | RavenDB objects | How this pairing syncs | |
|---|---|---|---|
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Attachments Binary payloads stored with documents, handled separately from the JSON body | Follower Databases is specific to Postgres Heroku and Attachments to RavenDB — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Revisions Historical versions of documents, useful for audit-oriented replication | Tables is specific to Postgres Heroku and Revisions to RavenDB — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Counters Numeric values attached to documents that change independently of the document body | Views is specific to Postgres Heroku and Counters to RavenDB — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Time series Timestamped measurements stored per document, synced for metrics analysis | Materialized Views is specific to Postgres Heroku and Time series to RavenDB — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Data subscriptions Server-side change feeds that push matching documents to consumers | Schemas is specific to Postgres Heroku and Data subscriptions to RavenDB — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Documents JSON records, the primary unit read and written during sync | Primary and Unique Keys is specific to Postgres Heroku and Documents to RavenDB — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and RavenDB
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.
Postgres Heroku RavenDB Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to RavenDB through its API, with automatic retries and rate-limit backoff.
RavenDB Postgres Heroku Sub-second propagation
DetectionChanges in RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- RavenDB: Throughput bounded by cluster resources rather than API quotas.
What ships with Postgres Heroku ⇄ RavenDB
Connect Postgres Heroku and RavenDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–RavenDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or RavenDB 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 RavenDB record.
Observability
Monitoring
Track your Postgres Heroku ⇄ RavenDB 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 RavenDB.
How the Postgres Heroku and RavenDB 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
RavenDB
- Integration surface
- HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
- Authentication
- X.509 client certificates on secured servers, instead of username and password
- Change detection
- data subscriptions and the Changes API provide server-pushed change feeds
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by cluster resources rather than API quotas
How it works
How to connect Postgres Heroku to RavenDB — 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 RavenDB 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
RavenDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and RavenDB 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 ⇄ RavenDBCustomers 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 RavenDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and RavenDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and RavenDB: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 RavenDB 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 RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–RavenDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and RavenDB. 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 RavenDB: Data subscriptions and the Changes API provide server-pushed change feeds. 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 Postgres Heroku side: Sequences, Follower Databases, Tables, Views, plus custom fields where Postgres Heroku exposes them. On the RavenDB side: Revisions, Counters, Time series, Data subscriptions. Stacksync auto-detects both schemas and converts types between the two systems.
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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