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Database ⇄ CRM

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

Keep AWS Aurora 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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Why teams connect AWS Aurora MySQL and Vitally

Treat Vitally 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.

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.

Stacksync mirrors Note, Conversation, NPS Response, Custom Trait from Vitally into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora 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 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 04 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.

Common sync patterns

Trigger workflows from CRM changes

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

Query the CRM like a database

Accounts, contacts, and custom objects from Vitally 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 Vitally, giving go-to-market teams live product context.

What you can sync between AWS Aurora 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.

AWS Aurora MySQL objects Vitally objects How this pairing syncs
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Task CS tasks and follow-ups, readable and writable for workflow sync. Stored procedures and triggers is specific to AWS Aurora MySQL and Task to Vitally — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Note Account and user notes captured by success teams. Databases (schemas) is specific to AWS Aurora MySQL and Note to Vitally — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. Tables is specific to AWS Aurora MySQL and Conversation to Vitally — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. NPS Response NPS survey responses for account-health reporting. Rows is specific to AWS Aurora MySQL and NPS Response to Vitally — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Custom Trait Custom account and user traits for segmentation. Columns is specific to AWS Aurora MySQL and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Primary keys and indexes is specific to AWS Aurora MySQL and Account to Vitally — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora 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.

AWS Aurora MySQL Vitally Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.

Vitally AWS Aurora MySQL Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with AWS Aurora MySQL ⇄ Vitally

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Vitally 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 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 AWS Aurora MySQL or Vitally record.

Observability

Monitoring

Track your AWS Aurora 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 AWS Aurora MySQL and Vitally.

How the AWS Aurora MySQL and Vitally 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

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

    Choose tables

    Pick the AWS Aurora 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 · AWS Aurora 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
    AWS Aurora MySQL Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora 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.

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 390 integrations available for AWS Aurora MySQL and Vitally.

Popular · 8 of 390
All AWS Aurora MySQL integrations All Vitally integrations Browse all integrations
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