Real-time
Real-time sync
Changes in AWS Aurora MySQL or Dun And Bradstreet instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora MySQL to Dun And Bradstreet integration — real-time data sync
Keep AWS Aurora MySQL 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.
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Live sync
stacksync.com - <1s
- latency
- real-time
- sync
- 100M+
- records
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora MySQL and Dun And Bradstreet
Treat Dun And Bradstreet like part of your database: its records live in AWS Aurora MySQL as real tables, and writes in either place sync to the other in seconds.
Dun And Bradstreet is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL 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 MySQL, where it can be queried and joined like everything else.
Common use cases
- 01 Sync the D&B corporate family tree (parent and subsidiary DUNS) into the CRM so ABM and territory owners see full account hierarchies and roll pipeline up to the global ultimate.
- 02 Build target-account lists with Criteria Search and land the resulting DUNS plus firmographics in a database for outbound and TAM analysis.
- 03 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in Dun And Bradstreet, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Dun And Bradstreet API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Dun And Bradstreet arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
What you can sync between AWS Aurora MySQL and Dun And Bradstreet
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 MySQL objects | Dun And Bradstreet objects | How this pairing syncs | |
|---|---|---|---|
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | 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. | Foreign keys is specific to AWS Aurora MySQL and Monitoring Notifications to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | 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. | Stored procedures and triggers is specific to AWS Aurora MySQL and Company Information (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | 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. | Databases (schemas) is specific to AWS Aurora MySQL and Principals & Contacts (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | 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 is specific to AWS Aurora MySQL and Company Hierarchy & Connections (Family Tree) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | 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. | Rows is specific to AWS Aurora MySQL and Financial Strength & Risk Insight (Data Block) to Dun And Bradstreet — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | 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. | Columns is specific to AWS Aurora MySQL and Identity Resolution (Match / cleanseMatch) to Dun And Bradstreet — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and Dun And Bradstreet
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.
AWS Aurora MySQL Dun And Bradstreet Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL records.
Dun And Bradstreet AWS Aurora MySQL Interval-based propagation
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 MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dun And Bradstreet: Per-contract transactions-per-second cap plus weekly/monthly/yearly quotas; exceeding TPS returns HTTP 429 with error 0045/0046 (0047 on spike arrest). Quotas reset on UTC boundaries.
What ships with AWS Aurora MySQL ⇄ Dun And Bradstreet
Connect AWS Aurora MySQL and Dun And Bradstreet for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Dun And Bradstreet connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or Dun And Bradstreet 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 AWS Aurora MySQL or Dun And Bradstreet record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Dun And Bradstreet sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Dun And Bradstreet.
How the AWS Aurora MySQL and Dun And Bradstreet connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
Dun And Bradstreet
- Integration surface
- 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.
- Change detection
- 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.
- Capabilities
- read
- Rate limits
- Per-contract transactions-per-second cap plus weekly/monthly/yearly quotas; exceeding TPS returns HTTP 429 with error 0045/0046 (0047 on spike arrest). Quotas reset on UTC boundaries.
How it works
How to connect AWS Aurora MySQL to Dun And Bradstreet — 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 AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Dun And Bradstreet
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ Dun And BradstreetCustomers 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.
AWS Aurora MySQL Dun And BradstreetCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Dun And Bradstreet integration FAQ
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Yes. Stacksync provides a managed, real-time integration between AWS Aurora MySQL 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.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Dun And Bradstreet. 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 AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. 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. 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 Dun And Bradstreet side: Criteria Search, Monitoring Notifications, Company Information (Data Block), Principals & Contacts (Data Block), plus custom fields where Dun And Bradstreet exposes them. On the AWS Aurora MySQL side: Columns, Primary keys and indexes, Views, Foreign keys. Stacksync auto-detects both schemas and converts types between the two systems.
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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 MySQL. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for AWS Aurora MySQL 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 AWS Aurora MySQL sync onto the matching records in Dun And Bradstreet, giving go-to-market teams live product context.
SECURITY
Security teams trust 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
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Dun And Bradstreet ⇄ Scaleway Postgres -
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