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Database ⇄ CRM

AWS Aurora MySQL to ZoomInfo integration — real-time data sync

Keep AWS Aurora MySQL 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

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Why teams connect AWS Aurora MySQL and ZoomInfo

Treat ZoomInfo 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.

ZoomInfo 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 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 MySQL, 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 a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

Query the CRM like a database

Accounts, contacts, and custom objects from ZoomInfo become tables in AWS Aurora MySQL you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in ZoomInfo, 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 ZoomInfo API, limits, and retries.

What you can sync between AWS Aurora MySQL 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 MySQL objects ZoomInfo objects
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Technographics Technology install data per company, used for segmentation and territory planning.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Intent Signals Company-level topic scores indicating in-market buying behavior.
What ships with AWS Aurora MySQL ⇄ ZoomInfo

Connect AWS Aurora MySQL and ZoomInfo for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–ZoomInfo connection.

Real-time

Real-time sync

Changes in AWS Aurora MySQL or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or ZoomInfo record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and ZoomInfo.

How the AWS Aurora MySQL and ZoomInfo 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

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 MySQL 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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    ZoomInfo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ ZoomInfo
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL ZoomInfo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and ZoomInfo integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora MySQL and ZoomInfo.

Popular · 8 of 386
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