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Database ⇄ CRM

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

Keep AWS Aurora MySQL and Drift 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

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Why teams connect AWS Aurora MySQL and Drift

Treat Drift 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 Messages, Accounts, Users, Playbooks from Drift 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 Drift 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 Land conversation transcripts and outcomes in a warehouse for funnel and chat-to-pipeline analysis.
  • 02 Enrich Drift contact and account records with firmographic or product data from an internal database to sharpen playbook targeting.
  • 03 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 04 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.

Common sync patterns

Product events onto CRM records

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

Trigger workflows from CRM changes

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

What you can sync between AWS Aurora MySQL and Drift

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 Drift objects How this pairing syncs
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Contacts Visitor and lead records created or matched from chat identities; the main CRM-sync object. Databases (schemas) is specific to AWS Aurora MySQL and Contacts to Drift — 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. Conversations Chat threads with status and participants; the center of Drift's data model. Tables is specific to AWS Aurora MySQL and Conversations to Drift — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Messages Individual messages within a conversation, used for transcript and intent analysis. Rows is specific to AWS Aurora MySQL and Messages to Drift — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Accounts Company records used for account-based routing and targeting. Columns is specific to AWS Aurora MySQL and Accounts to Drift — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Users Agents and sales reps who own conversations and meetings. Primary keys and indexes is specific to AWS Aurora MySQL and Users to Drift — 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. Playbooks Bot flows that generate conversations and qualify visitors. Views is specific to AWS Aurora MySQL and Playbooks to Drift — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Drift

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

Drift AWS Aurora MySQL Sub-second propagation

DetectionDrift notifies Stacksync of record changes through webhook events. Webhook events for new conversations, messages, and contact changes.

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

Rate-limit considerations

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

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Drift 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 Drift 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 Drift record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Drift 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 Drift.

How the AWS Aurora MySQL and Drift 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

Drift

Integration surface
REST API
Authentication
OAuth 2.0 via apps registered on the Drift developer platform
Change detection
Webhook events for new conversations, messages, and contact changes; polling for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

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

    Choose tables

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

AWS Aurora MySQL and Drift 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 227 integrations available for AWS Aurora MySQL and Drift.

Popular · 4 of 227
All AWS Aurora MySQL integrations All Drift integrations Browse all integrations
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