Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Gladly instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora PostgreSQL to Gladly integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Gladly
Treat Gladly like part of your database: its records live in AWS Aurora PostgreSQL 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 PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Conversation items, Agents, Topics, Tasks from Gladly into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL 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
- Mirror conversations and topics into a warehouse for CX analytics and staffing models.
- Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
- Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
- Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
Trigger workflows from CRM changes
Field and stage updates in Gladly arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Gladly become tables in AWS Aurora PostgreSQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Gladly, giving go-to-market teams live product context.
What you can sync between AWS Aurora PostgreSQL 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.
| AWS Aurora PostgreSQL objects | Gladly objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Agents User records used to attribute work in CX analytics. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Tasks Follow-up work items created from external triggers or synced for workload reporting. |
What ships with AWS Aurora PostgreSQL ⇄ Gladly
Connect AWS Aurora PostgreSQL and Gladly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Gladly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Gladly record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Gladly 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 Gladly.
How the AWS Aurora PostgreSQL and Gladly 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
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 AWS Aurora PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
Gladly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ GladlyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL GladlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Gladly integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Gladly: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Gladly side: Conversation items, Agents, Topics, Tasks, plus custom fields where Gladly exposes them. On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora PostgreSQL and Gladly: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Gladly arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Stacksync manages authentication, retries, and rate limits on both sides.
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Gladly: Customer profiles are built to merge external identifiers (email, phone, order numbers), which is what integrations key on when matching records from other systems. AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Gladly without custom code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Gladly.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Clearbit -
AWS Aurora PostgreSQL ⇄ Close -
AWS Aurora PostgreSQL ⇄ Copper CRM -
AWS Aurora PostgreSQL ⇄ Creatio CRM -
Gladly ⇄ Azure SQL Database -
Gladly ⇄ Citus -
Gladly ⇄ Couchbase -
Gladly ⇄ DuckDB
No integrations match .
