Real-time
Two-way sync
Changes in Postgres Heroku or Rockset instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Postgres Heroku to Rockset integration — real-time, two-way sync
Keep Postgres Heroku and Rockset 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 Rockset
Connect Postgres Heroku and Rockset 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 Postgres Heroku's rows in Rockset, 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 Postgres Heroku where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Postgres Heroku sync into Rockset in real time, and result tables in Rockset sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.
Common use cases
- Power in-app search and filtering over synced operational data using SQL over REST.
- Serve real-time dashboards over CRM and ERP records synced from operational databases.
- Reflect billing and subscription records into the app database so product logic reads local rows
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
Serve warehouse results at database speed
Aggregates or model outputs computed in Rockset sync into Postgres Heroku, 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 Rockset and keep Postgres Heroku focused on its operational workload.
What you can sync between Postgres Heroku and Rockset
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 | Rockset objects | |
|---|---|---|
| Sequences Generate surrogate keys for rows created by inbound syncs. | Collections Schemaless document containers that ingested and synced records land in. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Workspaces Namespaces that group collections and query lambdas per team or environment. | |
| Views Read-side projections exposed to outbound syncs. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Integrations Managed source connections (databases, streams, object storage) feeding collections. |
What ships with Postgres Heroku ⇄ Rockset
Connect Postgres Heroku and Rockset for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Rockset connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Rockset 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 Rockset record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Rockset 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 Rockset.
How the Postgres Heroku and Rockset 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
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
How it works
How to connect Postgres Heroku to Rockset — 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 Rockset 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
Rockset
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and Rockset 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 ⇄ RocksetCustomers 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 RocksetCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Rockset integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Rockset: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Sequences and Follower Databases), 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 Rockset 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 Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Rockset integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Rockset. 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. 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 Rockset side: Query Lambdas, Aliases, Integrations, Virtual Instances, plus custom fields where Rockset exposes them. On the Postgres Heroku side: Schemas, Primary and Unique Keys, JSONB Columns, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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 Rockset.
Popular · 8 of 386
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Postgres Heroku ⇄ IBM Netezza -
Postgres Heroku ⇄ Materialize -
Postgres Heroku ⇄ Starburst Enterprise -
Postgres Heroku ⇄ StarRocks -
Rockset ⇄ Google AlloyDB -
Rockset ⇄ Dynamo DB -
Rockset ⇄ IBM Db2 -
Rockset ⇄ Firebase
No integrations match .
