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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL and SendGrid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • 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 SendGrid

Mirror SendGrid's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like SendGrid through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora MySQL.

Stacksync mirrors Unsubscribe Groups, Email Activity, Contacts, List from SendGrid into Databases (schemas), Tables, Rows, Columns in AWS Aurora MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into SendGrid, so the tool and the database never disagree.

Common use cases

  • Sync CRM contacts and their custom fields into SendGrid lists so campaign targeting reflects live sales data
  • Write bounces, spam reports, and unsubscribes back to the CRM to keep email opt-in status accurate everywhere
  • 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.

Read SendGrid with a query

Records from SendGrid are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.

Automate SendGrid from your codebase

Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into SendGrid, replacing custom integration code.

React to changes as they happen

Updates in SendGrid arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora MySQL and SendGrid

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 SendGrid objects
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. List Synced with incremental and full sync per the Stacksync docs.
Views Can serve as read-only sync sources for derived or filtered datasets. Segments Query-based contact groups whose membership SendGrid computes from contact fields.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Categories Synced with incremental and full sync per the Stacksync docs.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Senders Synced with incremental and full sync per the Stacksync docs.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Single Sends One-off marketing campaigns whose stats are read back for reporting.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs.
What ships with AWS Aurora MySQL ⇄ SendGrid

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or SendGrid 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 SendGrid 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 SendGrid record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ SendGrid 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 SendGrid.

How the AWS Aurora MySQL and SendGrid 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

SendGrid

Integration surface
REST API (v3)
Authentication
API key (create in SendGrid Settings > API Keys with Custom Access / Full Access for the objects to sync; key begins with "SG")
Change detection
Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint; contact and list changes are detected by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes
SendGrid setup guide
How it works

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

    Choose tables

    Pick the AWS Aurora MySQL and SendGrid 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 ⇄ SendGrid
    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 SendGrid
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora MySQL and SendGrid 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.

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 386 integrations available for AWS Aurora MySQL and SendGrid.

Popular · 8 of 386
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