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Database ⇄ Business productivity

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

Keep AWS Aurora PostgreSQL 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 PostgreSQL and SendGrid

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

Teams connect SendGrid to AWS Aurora PostgreSQL to keep email engagement and audience data in their own database. Email Activity and Contacts sync as Aurora tables and rows, while contact rows maintained in Postgres flow back into SendGrid Lists and Segments for sending.

Stacksync mirrors Senders, Single Sends, Unsubscribe Groups, Email Activity from SendGrid into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL 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 Join Email Activity with product usage tables in Aurora to measure email-driven behavior.
  • 02 Drive SendGrid Lists from an Aurora contacts table instead of CSV uploads.
  • 03 Track Sender and Category performance with Postgres queries over synced SendGrid data.
  • 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

Contacts and List membership update in SendGrid from rows maintained in Aurora.

Segment reporting

Segments and Categories mirror into an Aurora schema so email performance joins with application data.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects SendGrid objects How this pairing syncs
Replication slots and publications The logical replication objects that power log-based CDC. Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs. Replication slots and publications is specific to AWS Aurora PostgreSQL and Unsubscribe Groups to SendGrid — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Email Activity Synced with incremental and full sync per the Stacksync docs. Databases and schemas is specific to AWS Aurora PostgreSQL and Email Activity to SendGrid — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Contacts Marketing recipients upserted from CRM or database records, including custom field values. Tables is specific to AWS Aurora PostgreSQL and Contacts to SendGrid — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. List Synced with incremental and full sync per the Stacksync docs. Rows is specific to AWS Aurora PostgreSQL and List to SendGrid — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Segments Query-based contact groups whose membership SendGrid computes from contact fields. Columns is specific to AWS Aurora PostgreSQL and Segments to SendGrid — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Categories Synced with incremental and full sync per the Stacksync docs. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Categories to SendGrid — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL SendGrid Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

SendGrid AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ SendGrid

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or SendGrid record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and SendGrid.

How the AWS Aurora PostgreSQL and SendGrid connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    SendGrid connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL 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
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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 401 integrations available for AWS Aurora PostgreSQL and SendGrid.

Popular · 7 of 401
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