Real-time sync
Changes in Amazon Aurora or Dun And Bradstreet instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Amazon Aurora, so Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.
Signup, usage, or lifecycle changes written to Amazon Aurora sync onto the matching records in Dun And Bradstreet, giving go-to-market teams live product context.
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 Amazon Aurora, ready to drive jobs and notifications.
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.
| Amazon Aurora objects | Dun And Bradstreet objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | 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. | Primary and Foreign Keys is specific to Amazon Aurora and Principals & Contacts (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Company Hierarchy & Connections (Family Tree) Parent, subsidiary, branch, and global-ultimate DUNS relationships; read-only, used to build account hierarchies and corporate-family rollups. | Read Replicas is specific to Amazon Aurora and Company Hierarchy & Connections (Family Tree) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | 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. | Databases is specific to Amazon Aurora and Financial Strength & Risk Insight (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | 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. | Schemas is specific to Amazon Aurora and Identity Resolution (Match / cleanseMatch) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | 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. | Tables is specific to Amazon Aurora and Criteria Search to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | 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. | Views is specific to Amazon Aurora and Monitoring Notifications 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 Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
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 Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Dun And Bradstreet connection.
Changes in Amazon Aurora or Dun And Bradstreet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Dun And Bradstreet record.
Track your Amazon Aurora ⇄ Dun And Bradstreet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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.
On the Dun And Bradstreet side: Monitoring Notifications, Company Information (Data Block), Principals & Contacts (Data Block), Company Hierarchy & Connections (Family Tree), plus custom fields where Dun And Bradstreet exposes them. On the Amazon Aurora side: Tables, Views, Materialized Views, Columns and Data Types. 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 Amazon Aurora. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Aurora and Dun And Bradstreet: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Amazon Aurora sync onto the matching records in Dun And Bradstreet, giving go-to-market teams live product context.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. 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: Data is organized into Data Blocks (e.g. companyinfo, principalscontacts, hierarchyconnections, financialstrengthinsight) retrieved by D-U-N-S Number via the Enrich endpoint, and blocks are sold at levels L1-L4. Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. Stacksync's field mapping accounts for these differences between Amazon Aurora and Dun And Bradstreet without custom code.
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.
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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 411 integrations available for Amazon Aurora and Dun And Bradstreet.