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Database ⇄ CRM

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

Keep Amazon Aurora and Gladly 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 Amazon Aurora and Gladly

Treat Gladly 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 Topics, Tasks, Customer profiles, Conversations from Gladly into Schemas, Tables, Views, Materialized Views in Amazon Aurora with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly 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

  • Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
  • Push conversation outcomes into a CRM so account teams see support context on their accounts.
  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.

Query the CRM like a database

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

Product events onto CRM records

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

What you can sync between Amazon Aurora and Gladly

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 Gladly objects
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Databases Logical databases within a cluster that scope a sync connection. Agents User records used to attribute work in CX analytics.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Topics Categorization applied to conversations; the key dimension for contact-driver reporting.
Tables Relational tables synced bi-directionally at row level. Tasks Follow-up work items created from external triggers or synced for workload reporting.
Views Read-only query-backed sources for downstream syncs. Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching.
What ships with Amazon Aurora ⇄ Gladly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Gladly 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 Gladly record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Gladly 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 Gladly.

How the Amazon Aurora and Gladly 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

Gladly

Integration surface
REST API
Authentication
API tokens used with basic authentication tied to an agent email
Change detection
Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

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

    Choose tables

    Pick the Amazon Aurora and Gladly 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 ⇄ Gladly
    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 Gladly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Gladly 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 Gladly.

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