Two-way sync
Changes in MySQL or Vitally instantly reflect in both systems. No stale data, no manual imports.
Keep MySQL and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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.
Stacksync mirrors Conversation, NPS Response, Custom Trait, Account from Vitally into JSON Columns, Stored Procedures, Triggers, Databases (Schemas) in MySQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.
Field and stage updates in Vitally arrive as row changes in MySQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Vitally become tables in MySQL 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.
| MySQL objects | Vitally objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets with engine-typed values. | Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. | Columns is specific to MySQL and Conversation to Vitally — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | NPS Response NPS survey responses for account-health reporting. | Primary and Unique Keys is specific to MySQL and NPS Response to Vitally — each maps to any object or custom field on the other side. | |
| JSON Columns Validated semi-structured payloads for nested SaaS data. | Custom Trait Custom account and user traits for segmentation. | JSON Columns is specific to MySQL and Custom Trait to Vitally — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. | Stored Procedures is specific to MySQL and Account to Vitally — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | User End users tied to accounts, including activity and custom traits. | Triggers is specific to MySQL and User to Vitally — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Organization Parent organizations for hierarchical B2B account structures. | Databases (Schemas) is specific to MySQL and Organization to Vitally — 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.
DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.
DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.
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–Vitally connection.
Changes in MySQL or Vitally instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MySQL or Vitally 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 Vitally record.
Track your MySQL ⇄ Vitally sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MySQL and Vitally.
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 Vitally 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 Vitally 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 two-way integration between MySQL and Vitally: authenticate both systems, choose the objects to sync (such as MySQL's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Vitally: Default rate limiting is 1,000 requests/min using a token bucket; write requests consume more budget. MySQL: Primary keys must be auto-generated (e.g. AUTO_INCREMENT). Stacksync's field mapping accounts for these differences between MySQL and Vitally without custom code.
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 MySQL and Vitally records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MySQL and Vitally connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–Vitally integration in-house.
Yes — Stacksync ships production-grade connectors for both MySQL and Vitally. 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 Vitally: Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 390 integrations available for MySQL and Vitally.