Real-time
Real-time sync
Changes in AWS Aurora PostgreSQL or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora PostgreSQL to ZoomInfo integration — real-time data sync
Keep AWS Aurora PostgreSQL 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
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Migrated from Celigo
Why teams connect AWS Aurora PostgreSQL and ZoomInfo
Treat ZoomInfo like part of your database: its records live in AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Common use cases
- Enrich CRM accounts and contacts on a schedule so firmographics, titles, and phone numbers stay current.
- Sync intent signals into the CRM or warehouse to trigger outbound plays on in-market accounts.
- Sync JSONB-heavy application data into structured objects in downstream business systems.
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the ZoomInfo API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in ZoomInfo arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from ZoomInfo become tables in AWS Aurora PostgreSQL you can join with application data directly.
What you can sync between AWS Aurora PostgreSQL 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.
| AWS Aurora PostgreSQL objects | ZoomInfo objects | |
|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | Intent Signals Company-level topic scores indicating in-market buying behavior. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Technographics Technology install data per company, used for segmentation and territory planning. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. |
What ships with AWS Aurora PostgreSQL ⇄ ZoomInfo
Connect AWS Aurora PostgreSQL and ZoomInfo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–ZoomInfo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or ZoomInfo record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ ZoomInfo 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 PostgreSQL and ZoomInfo.
How the AWS Aurora PostgreSQL and ZoomInfo connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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.
AWS Aurora PostgreSQL ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between AWS Aurora PostgreSQL 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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ZoomInfo: Intent data is delivered as company-level topic scores rather than person-level events, which shapes how it maps onto CRM records. 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 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and ZoomInfo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–ZoomInfo integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and ZoomInfo. 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 PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On ZoomInfo: Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams love 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 386 integrations available for AWS Aurora PostgreSQL and ZoomInfo.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Kustomer -
AWS Aurora PostgreSQL ⇄ Nimble -
AWS Aurora PostgreSQL ⇄ Nutshell -
AWS Aurora PostgreSQL ⇄ Oracle CX Sales -
ZoomInfo ⇄ Citus -
ZoomInfo ⇄ Couchbase -
ZoomInfo ⇄ DuckDB -
ZoomInfo ⇄ Elasticsearch
No integrations match .
