Skip to content
Database ⇄ CRM

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

Keep AWS Aurora MySQL and Salesmate 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS Aurora MySQL and Salesmate

Treat Salesmate 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 Notes, Users, Contacts, Companies from Salesmate into Rows, Columns, Primary keys and indexes, Views 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 Salesmate 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 Hand off won deals to invoicing or accounting tools automatically.
  • 02 Sync Salesmate contacts and deals into a Postgres database or warehouse so SMB teams can report outside the CRM.
  • 03 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 04 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Common sync patterns

Product events onto CRM records

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

Trigger workflows from CRM changes

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

What you can sync between AWS Aurora MySQL and Salesmate

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 Salesmate objects How this pairing syncs
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Notes Free-text records synced for context in support or success tools. Primary keys and indexes is specific to AWS Aurora MySQL and Notes to Salesmate — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Users Team member records used for ownership mapping. Views is specific to AWS Aurora MySQL and Users to Salesmate — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Contacts Person records synced with marketing tools and enrichment databases. Foreign keys is specific to AWS Aurora MySQL and Contacts to Salesmate — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Companies Organization records linked to contacts and deals. Stored procedures and triggers is specific to AWS Aurora MySQL and Companies to Salesmate — 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. Deals Pipeline opportunities with stage and value, synced out for revenue reporting. Databases (schemas) is specific to AWS Aurora MySQL and Deals to Salesmate — 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. Activities Calls, emails, and tasks logged against records and exported for analytics. Tables is specific to AWS Aurora MySQL and Activities to Salesmate — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Salesmate

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 Salesmate 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 Salesmate through its API, with automatic retries and rate-limit backoff.

Salesmate AWS Aurora MySQL Sub-second propagation

DetectionSalesmate notifies Stacksync of record changes through webhook events. Webhook triggers via the platform's automation features, with scheduled polling on modified timestamps as fallback.

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

Rate-limit considerations

  • Salesmate: Subject to the platform's API rate limits.
What ships with AWS Aurora MySQL ⇄ Salesmate

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Salesmate 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 Salesmate 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 Salesmate record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Salesmate 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 Salesmate.

How the AWS Aurora MySQL and Salesmate 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

Salesmate

Integration surface
REST API
Authentication
Access token (API key) sent as a request header
Change detection
Webhook triggers via the platform's automation features, with scheduled polling on modified timestamps as fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

How to connect AWS Aurora MySQL to Salesmate — 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 Salesmate 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
    Salesmate connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Salesmate 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 ⇄ Salesmate
    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 Salesmate
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

AWS Aurora MySQL and Salesmate 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
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 208 integrations available for AWS Aurora MySQL and Salesmate.

Popular · 5 of 208
All AWS Aurora MySQL integrations All Salesmate integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own