Real-time sync
Changes in Dun And Bradstreet or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Keep Dun And Bradstreet and Jdbc 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 Jdbc, so Jdbc 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 Jdbc, 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 Jdbc, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Dun And Bradstreet become tables in Jdbc 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 | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | Company Information (Data Block) is specific to Dun And Bradstreet and Primary keys & indexes to Jdbc — 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. | Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Principals & Contacts (Data Block) is specific to Dun And Bradstreet and Schemas & catalogs to Jdbc — 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. | Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Company Hierarchy & Connections (Family Tree) is specific to Dun And Bradstreet and Stored procedures & functions to Jdbc — 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. | Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Financial Strength & Risk Insight (Data Block) is specific to Dun And Bradstreet and Sequences to Jdbc — each maps to any object or custom field on the other side. | |
| 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. | Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Identity Resolution (Match / cleanseMatch) is specific to Dun And Bradstreet and Tables to Jdbc — each maps to any object or custom field on the other side. | |
| 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. | Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Criteria Search is specific to Dun And Bradstreet and Views to Jdbc — 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 Jdbc as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
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 Jdbc records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dun And Bradstreet–Jdbc connection.
Changes in Dun And Bradstreet or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dun And Bradstreet or Jdbc 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 Jdbc record.
Track your Dun And Bradstreet ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dun And Bradstreet and Jdbc.
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 Jdbc 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 Jdbc 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 Jdbc — 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 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 Dun And Bradstreet and Jdbc records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dun And Bradstreet and Jdbc connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dun And Bradstreet–Jdbc integration in-house.
Yes — Stacksync ships production-grade connectors for both Dun And Bradstreet and Jdbc. 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 Jdbc: No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks. 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 Hierarchy & Connections (Family Tree), Financial Strength & Risk Insight (Data Block), Identity Resolution (Match / cleanseMatch), Criteria Search, plus custom fields where Dun And Bradstreet exposes them. On the Jdbc side: Views, Columns, Primary keys & indexes, Schemas & catalogs. Stacksync auto-detects both schemas and converts types between the two systems.
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 408 integrations available for Dun And Bradstreet and Jdbc.