Real-time
Real-time sync
Changes in Jdbc or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Jdbc to ZoomInfo integration — real-time data sync
Keep Jdbc and ZoomInfo 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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Why teams connect Jdbc and ZoomInfo
Treat ZoomInfo like part of your database: its records live in Jdbc as real tables, and writes in either place sync to the other in seconds.
ZoomInfo 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 ZoomInfo — 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.
Common use cases
- 01 Feed technographic data into territory plans or scoring models in a warehouse.
- 02 Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
- 03 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
- 04 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in ZoomInfo arrive as row changes in Jdbc, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from ZoomInfo become tables in Jdbc you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in ZoomInfo, giving go-to-market teams live product context.
What you can sync between Jdbc and ZoomInfo
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.
| Jdbc objects | ZoomInfo objects | How this pairing syncs | |
|---|---|---|---|
| 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 Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | Primary keys & indexes is specific to Jdbc and Company Hierarchies to ZoomInfo — each maps to any object or custom field on the other side. | |
| 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. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. | Schemas & catalogs is specific to Jdbc and Company Profiles to ZoomInfo — each maps to any object or custom field on the other side. | |
| 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. | Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. | Stored procedures & functions is specific to Jdbc and Contact Profiles to ZoomInfo — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Intent Signals Company-level topic scores indicating in-market buying behavior. | Sequences is specific to Jdbc and Intent Signals to ZoomInfo — each maps to any object or custom field on the other side. | |
| 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. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. | Tables is specific to Jdbc and Scoops to ZoomInfo — each maps to any object or custom field on the other side. | |
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Technographics Technology install data per company, used for segmentation and territory planning. | Views is specific to Jdbc and Technographics to ZoomInfo — each maps to any object or custom field on the other side. |
How changes propagate between Jdbc and ZoomInfo
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.
Jdbc ZoomInfo Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryZoomInfo does not accept inbound record writes, so this direction carries requests rather than records: ZoomInfo's output flows back as field updates on the originating Jdbc records.
ZoomInfo Jdbc Interval-based propagation
DetectionStacksync polls ZoomInfo for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled re-enrichment and polling.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
- ZoomInfo: Usage is metered by credits and contract-based limits rather than a single public rate limit.
What ships with Jdbc ⇄ ZoomInfo
Connect Jdbc and ZoomInfo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–ZoomInfo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jdbc or ZoomInfo 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 Jdbc or ZoomInfo record.
Observability
Monitoring
Track your Jdbc ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jdbc and ZoomInfo.
How the Jdbc and ZoomInfo connectors work
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- 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.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
ZoomInfo
- Integration surface
- REST API organized around search and enrich endpoints
- Authentication
- API credentials exchanged for a short-lived JWT
- Change detection
- Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream
- Capabilities
- read
- Rate limits
- Usage is metered by credits and contract-based limits rather than a single public rate limit.
How it works
How to connect Jdbc to ZoomInfo — 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 Jdbc and ZoomInfo with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Jdbc connected
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jdbc and ZoomInfo 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 · Jdbc ⇄ ZoomInfoCustomers 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.
Jdbc ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jdbc and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Jdbc and ZoomInfo — ZoomInfo 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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Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. ZoomInfo: REST API organized around search and enrich endpoints. Authentication: API credentials exchanged for a short-lived JWT. Stacksync manages authentication, retries, and rate limits on both sides.
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ZoomInfo: ZoomInfo is a read-oriented data provider; syncs pull from it and write into the CRM or warehouse, not the reverse. Jdbc: Authentication is a database user's username and password in the JDBC connection, usually over TLS/SSL; some drivers add Kerberos or cloud IAM-token auth, but that is driver-specific. Stacksync's field mapping accounts for these differences between Jdbc and ZoomInfo without custom code.
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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 Jdbc and ZoomInfo records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jdbc and ZoomInfo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jdbc–ZoomInfo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Jdbc and ZoomInfo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
Every pair below is a real-time, two-way sync. Search all 361 integrations available for Jdbc and ZoomInfo.
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