Real-time sync
Changes in Dun And Bradstreet or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Dun And Bradstreet and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Dun And Bradstreet is a read-only source: Stacksync reads its data in real time and delivers it into Postgres Heroku, so Postgres Heroku always reflects the current state of Dun And Bradstreet — without exports, scripts, or schedulers.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Postgres Heroku, where it can be queried and joined like everything else.
Back-office apps read and write the synced tables; Stacksync handles the Dun And Bradstreet API, limits, and retries.
Field and stage updates in Dun And Bradstreet arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Dun And Bradstreet become tables in Postgres Heroku you can join with application data directly.
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.
| Dun And Bradstreet objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Criteria Search Query companies by firmographic criteria (industry, geography, size) and get back a list of D-U-N-S Numbers to enrich; read-only list building. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Criteria Search is specific to Dun And Bradstreet and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Monitoring Notifications Change notices for a registered portfolio of DUNS; read-only feed pulled from the notifications endpoint (retained ~60 days) or delivered as bundled push. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Monitoring Notifications is specific to Dun And Bradstreet and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Company Information (Data Block) Core firmographics for a D-U-N-S Number - legal name, addresses, industry codes, employees, sales, status. Retrieved read-only via the Enrich endpoint; blocks come in levels L1-L4. | Sequences Generate surrogate keys for rows created by inbound syncs. | Company Information (Data Block) is specific to Dun And Bradstreet and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Principals & Contacts (Data Block) Company officers, executives, and contacts tied to a D-U-N-S Number; read-only enrichment used to populate CRM contact and account-owner fields. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Principals & Contacts (Data Block) is specific to Dun And Bradstreet and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Company Hierarchy & Connections (Family Tree) Parent, subsidiary, branch, and global-ultimate DUNS relationships; read-only, used to build account hierarchies and corporate-family rollups. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Company Hierarchy & Connections (Family Tree) is specific to Dun And Bradstreet and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Financial Strength & Risk Insight (Data Block) D&B risk and credit signals - D&B Rating, PAYDEX, Failure Score, Delinquency Score, Viability - keyed by D-U-N-S Number; read-only. | Views Read-side projections exposed to outbound syncs. | Financial Strength & Risk Insight (Data Block) is specific to Dun And Bradstreet and Views to Postgres Heroku — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Dun And Bradstreet for changes on an incremental schedule, reading only records changed since the previous pass. Polling via D&B Monitoring - register a portfolio of DUNS and pull change notices from the notifications endpoint (retained ~60 days).
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
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.
DeliveryDun And Bradstreet does not accept inbound record writes, so this direction carries requests rather than records: Dun And Bradstreet's output flows back as field updates on the originating Postgres Heroku records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dun And Bradstreet–Postgres Heroku connection.
Changes in Dun And Bradstreet or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dun And Bradstreet or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Dun And Bradstreet or Postgres Heroku record.
Track your Dun And Bradstreet ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dun And Bradstreet and Postgres Heroku.
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.
Authenticate Dun And Bradstreet and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Dun And Bradstreet and Postgres Heroku 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Dun And Bradstreet and Postgres Heroku — Dun And Bradstreet is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dun And Bradstreet and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dun And Bradstreet–Postgres Heroku integration in-house.
Yes — Stacksync ships production-grade connectors for both Dun And Bradstreet and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Dun And Bradstreet: Polling via D&B Monitoring - register a portfolio of DUNS and pull change notices from the notifications endpoint (retained ~60 days). Bundled push delivery is configured with your D&B rep; there is no standard HTTP webhook and no log-based CDC. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Dun And Bradstreet side: Company Information (Data Block), Principals & Contacts (Data Block), Company Hierarchy & Connections (Family Tree), Financial Strength & Risk Insight (Data Block), plus custom fields where Dun And Bradstreet exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Dun And Bradstreet is a read-only source, so this integration runs one-way: Stacksync reads from Dun And Bradstreet in real time and delivers into Postgres Heroku. Field mapping and monitoring work the same as for two-way pairs.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 425 integrations available for Dun And Bradstreet and Postgres Heroku.