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Database ⇄ CRM

MySQL to Vitally integration — real-time, two-way sync

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.

  • 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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Migrated from MuleSoft
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Why teams connect MySQL and Vitally

Treat Vitally like part of your database: its records live in MySQL as real tables, and writes in either place sync to the other in seconds.

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.

Common use cases

  • 01 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 02 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 03 Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
  • 04 Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Vitally arrive as row changes in MySQL, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between MySQL and Vitally

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.

How changes propagate between MySQL and Vitally

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.

MySQL Vitally Sub-second propagation

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.

Vitally MySQL Sub-second propagation

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.

Rate-limit considerations

  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with MySQL ⇄ Vitally

Connect MySQL and Vitally for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MySQL or Vitally 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 MySQL or Vitally record.

Observability

Monitoring

Track your MySQL ⇄ Vitally sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MySQL and Vitally.

How the MySQL and Vitally connectors work

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect MySQL to Vitally — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    MySQL connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · MySQL ⇄ Vitally
    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
    MySQL Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

MySQL and Vitally integration FAQ

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 390 integrations available for MySQL and Vitally.

Popular · 8 of 390
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