Skip to content
Database ⇄ CRM

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

Keep AWS Aurora MySQL and Salesloft 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 Salesloft

Treat Salesloft 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 People, Accounts, Cadences, Cadence Memberships from Salesloft into Databases (schemas), Tables, Rows, Columns 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 Salesloft 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

  • Sync people, cadence memberships, and outcomes into a warehouse so RevOps can report on sequence performance next to pipeline data.
  • Auto-enroll leads into cadences when a row in an enrichment database meets a scoring condition.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Query the CRM like a database

Accounts, contacts, and custom objects from Salesloft 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 Salesloft, 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 Salesloft API, limits, and retries.

What you can sync between AWS Aurora MySQL and Salesloft

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 Salesloft objects
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Emails Sent and received email activity with engagement metadata, synced out for analytics.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Calls Logged call activity with dispositions and recordings metadata.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Tasks Rep to-dos created and completed within cadences.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Meetings Booked meeting records tied to people and users.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Users Seller records used for ownership mapping and activity attribution.
Views Can serve as read-only sync sources for derived or filtered datasets. Custom Fields Per-person and per-account fields commonly populated by enrichment syncs for personalization.
What ships with AWS Aurora MySQL ⇄ Salesloft

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Salesloft 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 Salesloft 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 Salesloft record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Salesloft 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 Salesloft.

How the AWS Aurora MySQL and Salesloft 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

Salesloft

Integration surface
REST API (v2)
Authentication
OAuth 2.0
Change detection
Webhook event subscriptions plus polling on updated_at timestamps
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-minute API rate limits
How it works

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

    Choose tables

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

AWS Aurora MySQL and Salesloft integration FAQ

SECURITY

Security teams love 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 386 integrations available for AWS Aurora MySQL and Salesloft.

Popular · 8 of 386
All AWS Aurora MySQL integrations All Salesloft 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