Skip to content
Database ⇄ CRM

Amazon Aurora to Streak CRM integration — real-time, two-way sync

Keep Amazon Aurora and Streak CRM 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 Amazon Aurora and Streak CRM

Treat Streak CRM like part of your database: its records live in Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.

Stacksync mirrors Pipelines, Boxes, Stages, Contacts from Streak CRM into Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases in Amazon Aurora with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Streak CRM 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 Streak boxes into Postgres so operations can query pipeline data with SQL and back internal tools
  • Push deals and contacts into a warehouse to report on pipeline alongside product and billing data
  • Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • Consolidate several Aurora clusters into one reporting database.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Streak CRM API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Streak CRM arrive as row changes in Amazon Aurora, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Streak CRM become tables in Amazon Aurora you can join with application data directly.

What you can sync between Amazon Aurora and Streak CRM

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.

Amazon Aurora objects Streak CRM objects
Views Read-only query-backed sources for downstream syncs. Boxes The core record (a deal, hire, or project) tracked through pipeline stages.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Stages Pipeline steps whose transitions are the usual trigger for downstream syncs.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Contacts People linked to boxes, synced with marketing and support tools.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Organizations Company records associated with contacts and boxes.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Tasks To-dos attached to boxes for follow-up tracking.
Databases Logical databases within a cluster that scope a sync connection. Email threads Gmail threads linked to boxes, since the CRM lives inside the inbox.
What ships with Amazon Aurora ⇄ Streak CRM

Connect Amazon Aurora and Streak CRM for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Streak CRM connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Streak CRM instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Streak CRM 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 Amazon Aurora or Streak CRM record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Streak CRM sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Streak CRM.

How the Amazon Aurora and Streak CRM connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Streak CRM

Integration surface
REST API
Authentication
API key issued per user
Change detection
Polling against pipeline, box, and contact endpoints; Streak's automations can send outbound webhooks on higher plans
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits; quotas are not prominently published
How it works

How to connect Amazon Aurora to Streak CRM — 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 Amazon Aurora and Streak CRM 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
    Amazon Aurora connected
    Streak CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Streak CRM 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 · Amazon Aurora ⇄ Streak CRM
    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
    Amazon Aurora Streak CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Aurora and Streak CRM 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 Amazon Aurora and Streak CRM.

Popular · 8 of 386
All Amazon Aurora integrations All Streak CRM 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