Real-time
Two-way sync
Changes in AWS Aurora MySQL or Lemlist instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
AWS Aurora MySQL to Lemlist integration — real-time, two-way sync
Keep AWS Aurora MySQL 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS Aurora MySQL and Lemlist
Mirror Lemlist's data into AWS Aurora MySQL 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 MySQL.
Stacksync mirrors Leads, Activities, Unsubscribes, Webhooks from Lemlist into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL 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
- Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
- Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Lemlist with a query
Records from Lemlist are ordinary rows in AWS Aurora MySQL; 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 MySQL and Stacksync propagates the change into Lemlist, replacing custom integration code.
What you can sync between AWS Aurora MySQL 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 MySQL objects | Lemlist objects | |
|---|---|---|
| Views Can serve as read-only sync sources for derived or filtered datasets. | Campaigns Outreach campaigns are the container leads are pushed into from CRMs and list-building workflows. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Leads Per-campaign prospect records sync in from enrichment sources and back out with status. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Activities Engagement records such as opens, clicks, replies, and bounces sync to CRM timelines. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Unsubscribes Opt-out records propagate to other outreach tools and the CRM for compliance. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Webhooks Hook subscriptions define which activity events are pushed to external endpoints. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Team Members Sender and seat records map outreach activity to reps in other systems. |
What ships with AWS Aurora MySQL ⇄ Lemlist
Connect AWS Aurora MySQL and Lemlist for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Lemlist connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or Lemlist record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ 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 MySQL and Lemlist.
How the AWS Aurora MySQL and Lemlist 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
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 MySQL 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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Lemlist
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ LemlistCustomers 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 MySQL LemlistCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Lemlist integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Lemlist: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Lemlist side: Leads, Activities, Unsubscribes, Webhooks, plus custom fields where Lemlist exposes them. On the AWS Aurora MySQL side: Foreign keys, Stored procedures and triggers, Databases (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 MySQL and Lemlist: One integration pattern for the whole stack; Read Lemlist with a query; Automate Lemlist from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Lemlist: REST API. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Lemlist: Activity events such as replies, opens, bounces, and unsubscribes can be delivered via webhooks, enabling near real-time updates to CRM records without polling every campaign. AWS Aurora MySQL: Binlog-based CDC requires binary logging to be enabled through the cluster parameter group; once on, changes can be captured without querying production tables. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Lemlist 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 MySQL and Lemlist.
Popular · 8 of 386
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AWS Aurora MySQL ⇄ Customer.io -
AWS Aurora MySQL ⇄ eClinicalWorks -
AWS Aurora MySQL ⇄ Full Enrich -
AWS Aurora MySQL ⇄ Google Sheets -
Lemlist ⇄ Neo4j -
Lemlist ⇄ OCI Database (Oracle Cloud) -
Lemlist ⇄ OpenSearch -
Lemlist ⇄ Oracle DB
No integrations match .
