Real-time sync
Changes in AWS Aurora PostgreSQL or Dun And Bradstreet instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Dun And Bradstreet 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 AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Field and stage updates in Dun And Bradstreet arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Dun And Bradstreet become tables in AWS Aurora PostgreSQL you can join with application data directly.
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Dun And Bradstreet, giving go-to-market teams live product context.
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.
| AWS Aurora PostgreSQL objects | Dun And Bradstreet objects | How this pairing syncs | |
|---|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Identity Resolution (Match / cleanseMatch) Sends a company name and address and returns ranked candidate DUNS with confidence codes and a MatchGrade; read-only scored match, not an exact lookup. | Views and materialized views is specific to AWS Aurora PostgreSQL and Identity Resolution (Match / cleanseMatch) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | 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. | Foreign keys is specific to AWS Aurora PostgreSQL and Criteria Search to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | 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. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Monitoring Notifications to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | 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. | Databases and schemas is specific to AWS Aurora PostgreSQL and Company Information (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | Tables is specific to AWS Aurora PostgreSQL and Principals & Contacts (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Company Hierarchy & Connections (Family Tree) Parent, subsidiary, branch, and global-ultimate DUNS relationships; read-only, used to build account hierarchies and corporate-family rollups. | Rows is specific to AWS Aurora PostgreSQL and Company Hierarchy & Connections (Family Tree) to Dun And Bradstreet — 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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
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 AWS Aurora PostgreSQL records.
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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Dun And Bradstreet connection.
Changes in AWS Aurora PostgreSQL or Dun And Bradstreet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Dun And Bradstreet data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Dun And Bradstreet record.
Track your AWS Aurora PostgreSQL ⇄ Dun And Bradstreet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Dun And Bradstreet.
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 AWS Aurora PostgreSQL and Dun And Bradstreet 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 AWS Aurora PostgreSQL and Dun And Bradstreet 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 AWS Aurora PostgreSQL and Dun And Bradstreet — 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.
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 AWS Aurora PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for AWS Aurora PostgreSQL and Dun And Bradstreet: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Dun And Bradstreet arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Dun And Bradstreet: D&B Direct+ REST API (plus.dnb.com) - capability groups for Identity Resolution (Match), Search, Enrich (Data Blocks by D-U-N-S Number), Multi-Process, Data File/Batch, and Monitoring. Authentication: OAuth 2.0 client-credentials: Base-auth a consumer key/secret to POST /v3/token for a bearer token; access tokens expire after 24 hours. Stacksync manages authentication, retries, and rate limits on both sides.
Dun And Bradstreet: Change detection uses D&B Monitoring: register a portfolio of DUNS and pull change notices (retained ~60 days) or receive bundled push delivery set up with your D&B rep - not a standard HTTP webhook. AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Dun And Bradstreet without custom code.
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 AWS Aurora PostgreSQL and Dun And Bradstreet records are not retained after a sync operation.
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.
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Every pair below is a real-time, two-way sync. Search all 429 integrations available for AWS Aurora PostgreSQL and Dun And Bradstreet.