Real-time
Two-way sync
Changes in Postgres Heroku or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Postgres Heroku to Yellowbrick integration — real-time, two-way sync
Keep Postgres Heroku and Yellowbrick 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 Yellowbrick
Connect Postgres Heroku and Yellowbrick 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 Yellowbrick, 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 Yellowbrick in real time, and result tables in Yellowbrick sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.
Common use cases
- Push warehouse-computed aggregates or segments back into operational tools such as a CRM.
- Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
Operational data in the warehouse, minus the pipeline
Rows from Postgres Heroku land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Yellowbrick 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.
What you can sync between Postgres Heroku and Yellowbrick
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 | Yellowbrick objects | |
|---|---|---|
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Databases Top-level containers for schemas and tables. | |
| Views Read-side projections exposed to outbound syncs. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Views Logical views used to shape reads for BI and downstream syncs. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Users and Roles Access-control objects that govern what a sync service account can read and write. |
What ships with Postgres Heroku ⇄ Yellowbrick
Connect Postgres Heroku and Yellowbrick for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Yellowbrick connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Yellowbrick 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 Yellowbrick record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Yellowbrick 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 Yellowbrick.
How the Postgres Heroku and Yellowbrick 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
Yellowbrick
- Integration surface
- SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
- Authentication
- Database credentials, with LDAP and Kerberos options in enterprise deployments
- Change detection
- Polling on timestamp columns; no exposed transaction-log CDC
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works
How to connect Postgres Heroku to Yellowbrick — 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 Yellowbrick 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
Yellowbrick
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and Yellowbrick 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 ⇄ YellowbrickCustomers 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 YellowbrickCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Yellowbrick integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Yellowbrick: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Tables and Views), 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 Postgres Heroku and Yellowbrick. 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 Yellowbrick: Polling on timestamp columns; no exposed transaction-log 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 Yellowbrick side: Schemas, Tables, Views, Users and Roles, plus custom fields where Yellowbrick exposes them. On the Postgres Heroku side: Views, Materialized Views, Schemas, Primary and Unique Keys. 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 Postgres Heroku and Yellowbrick: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Postgres Heroku land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
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 Yellowbrick.
Popular · 8 of 386
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Postgres Heroku ⇄ Dremio -
Postgres Heroku ⇄ Exasol -
Postgres Heroku ⇄ Firebolt -
Postgres Heroku ⇄ Google Cloud Platform -
Yellowbrick ⇄ Airtable -
Yellowbrick ⇄ AWS Aurora MySQL - Yellowbrick ⇄ AWS Aurora PostgreSQL
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Yellowbrick ⇄ MongoDB
No integrations match .
