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Database ⇄ Business productivity

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

Keep AWS Aurora PostgreSQL and Lemlist 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 Lemlist

Mirror Lemlist'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.

Engineers integrate with tools like Lemlist through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.

Stacksync mirrors Unsubscribes, Webhooks, Team Members, Campaigns from Lemlist into Tables, Rows, Columns, Primary keys and constraints 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 Lemlist, so the tool and the database never disagree.

Common use cases

  • Sync replies, opens, and bounces from Lemlist into the CRM so outbound activity shows on lead and contact records
  • Push enriched leads from a warehouse or list-building workflow into Lemlist campaigns automatically
  • Sync JSONB-heavy application data into structured objects in downstream business systems.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

Read Lemlist with a query

Records from Lemlist are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Lemlist from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Lemlist, replacing custom integration code.

React to changes as they happen

Updates in Lemlist arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora PostgreSQL and Lemlist

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 Lemlist objects
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Unsubscribes Opt-out records propagate to other outreach tools and the CRM for compliance.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Webhooks Hook subscriptions define which activity events are pushed to external endpoints.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Team Members Sender and seat records map outreach activity to reps in other systems.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Campaigns Outreach campaigns are the container leads are pushed into from CRMs and list-building workflows.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Leads Per-campaign prospect records sync in from enrichment sources and back out with status.
Replication slots and publications The logical replication objects that power log-based CDC. Activities Engagement records such as opens, clicks, replies, and bounces sync to CRM timelines.
What ships with AWS Aurora PostgreSQL ⇄ Lemlist

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Lemlist 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 Lemlist 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 Lemlist record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Lemlist 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 Lemlist.

How the AWS Aurora PostgreSQL and Lemlist 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

Lemlist

Integration surface
REST API
Authentication
API key
Change detection
Webhooks on outreach activity events, plus polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and Lemlist 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 AWS Aurora PostgreSQL and Lemlist.

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