Real-time sync
Changes in MySQL or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Keep 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.
ZoomInfo is a read-only source: Stacksync reads its data in real time and delivers it into MySQL, so 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 MySQL, where it can be queried and joined like everything else.
Signup, usage, or lifecycle changes written to MySQL sync onto the matching records in ZoomInfo, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the ZoomInfo API, limits, and retries.
Field and stage updates in ZoomInfo arrive as row changes in MySQL, ready to drive jobs and notifications.
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.
| MySQL objects | ZoomInfo objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-side projections used as outbound sync sources. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | Views is specific to MySQL and Company Hierarchies to ZoomInfo — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. | Columns is specific to MySQL and Company Profiles to ZoomInfo — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. | Primary and Unique Keys is specific to MySQL and Contact Profiles to ZoomInfo — each maps to any object or custom field on the other side. | |
| JSON Columns Validated semi-structured payloads for nested SaaS data. | Intent Signals Company-level topic scores indicating in-market buying behavior. | JSON Columns is specific to MySQL and Intent Signals to ZoomInfo — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. | Stored Procedures is specific to MySQL and Scoops to ZoomInfo — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | Technographics Technology install data per company, used for segmentation and territory planning. | Triggers is specific to MySQL and Technographics to ZoomInfo — 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.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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 MySQL records.
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 MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MySQL–ZoomInfo connection.
Changes in MySQL or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MySQL or ZoomInfo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MySQL or ZoomInfo record.
Track your MySQL ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MySQL and ZoomInfo.
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 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.
Pick the 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.
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 MySQL 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MySQL and ZoomInfo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–ZoomInfo integration in-house.
Yes — Stacksync ships production-grade connectors for both MySQL and ZoomInfo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). 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.
On the ZoomInfo side: Scoops, Technographics, Company Hierarchies, Company Profiles, plus custom fields where ZoomInfo exposes them. On the MySQL side: Columns, Primary and Unique Keys, JSON Columns, Stored Procedures. Stacksync auto-detects both schemas and converts types between the two systems.
ZoomInfo is a read-only source, so this integration runs one-way: Stacksync reads from ZoomInfo in real time and delivers into MySQL. Field mapping and monitoring work the same as for two-way pairs.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 476 integrations available for MySQL and ZoomInfo.