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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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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.

Connecting SendGrid to AWS Aurora MySQL centralizes email engagement data in a queryable database and drives audience management from tables of record. Email Activity and Contacts sync into Aurora Tables and Rows, while database-side updates maintain SendGrid Lists and Segments.

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

  • 01 Analyze Email Activity alongside application data with SQL joins instead of the SendGrid UI.
  • 02 Keep SendGrid Segments aligned with lifecycle stages computed in database queries.
  • 03 Retain a durable, queryable archive of Email Activity in Aurora under your own control.
  • 04 Sync CRM contacts and their custom fields into SendGrid lists so campaign targeting reflects live sales data

Common sync patterns

Engagement warehouse

SendGrid Email Activity syncs into Aurora Tables for deliverability and engagement analysis in SQL.

Audience sync from the database

Rows in Aurora customer Tables create and update SendGrid Contacts and List membership.

Sender and category tracking

Senders and Categories replicate to Aurora so campaign metadata joins cleanly with activity data.

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 How this pairing syncs
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. Primary keys and indexes is specific to AWS Aurora MySQL and List to SendGrid — 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. Segments Query-based contact groups whose membership SendGrid computes from contact fields. Views is specific to AWS Aurora MySQL and Segments to SendGrid — 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. Categories Synced with incremental and full sync per the Stacksync docs. Foreign keys is specific to AWS Aurora MySQL and Categories to SendGrid — 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. Senders Synced with incremental and full sync per the Stacksync docs. Stored procedures and triggers is specific to AWS Aurora MySQL and Senders to SendGrid — 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. Single Sends One-off marketing campaigns whose stats are read back for reporting. Databases (schemas) is specific to AWS Aurora MySQL and Single Sends to SendGrid — 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. Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs. Tables is specific to AWS Aurora MySQL and Unsubscribe Groups to SendGrid — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and SendGrid

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

SendGrid AWS Aurora MySQL Sub-second propagation

DetectionSendGrid notifies Stacksync of record changes through webhook events. Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint.

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

Rate-limit considerations

  • SendGrid: Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes.
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
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FAQ

AWS Aurora MySQL and SendGrid 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 399 integrations available for AWS Aurora MySQL and SendGrid.

Popular · 7 of 399
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