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Database ⇄ Business productivity

AWS Aurora MySQL to Lusha integration — real-time data sync

Keep AWS Aurora MySQL and Lusha 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 MySQL and Lusha

Mirror Lusha'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.

Lusha is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL always reflects the current state of Lusha — without exports, scripts, or schedulers.

Engineers integrate with tools like Lusha 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 Prospecting Results, Bulk Enrichment Requests, Person Profiles, Company Profiles from Lusha 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 Lusha, so the tool and the database never disagree.

Common use cases

  • Re-verify stale contact data on a schedule and flag records that no longer resolve.
  • Enrich new CRM leads with work emails and direct dials the moment they are created.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

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 Lusha with a query

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

Automate Lusha from your codebase

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

What you can sync between AWS Aurora MySQL and Lusha

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 Lusha objects
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Email Addresses Work emails written into CRM contact fields during enrichment.
What ships with AWS Aurora MySQL ⇄ Lusha

Connect AWS Aurora MySQL and Lusha for flexible, real-time data sync.

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

Real-time

Real-time sync

Changes in AWS Aurora MySQL or Lusha instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Lusha 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 Lusha record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Lusha 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 Lusha.

How the AWS Aurora MySQL and Lusha 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

Lusha

Integration surface
REST API
Authentication
API key
Change detection
Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change
Capabilities
read
Rate limits
Lookups consume credits and are subject to the platform's API rate limits.
How it works

How to connect AWS Aurora MySQL to Lusha — 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 MySQL and Lusha 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 MySQL connected
    Lusha connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL and Lusha 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 MySQL and Lusha.

Popular · 8 of 386
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