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Database ⇄ Business productivity

Amazon Aurora to Lusha integration — real-time data sync

Keep Amazon Aurora 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 Amazon Aurora and Lusha

Mirror Lusha's data into Amazon Aurora 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 Amazon Aurora, so Amazon Aurora 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 Amazon Aurora.

Stacksync mirrors Email Addresses, Phone Numbers, Prospecting Results, Bulk Enrichment Requests from Lusha into Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases in Amazon Aurora 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

  • 01 Re-verify stale contact data on a schedule and flag records that no longer resolve.
  • 02 Enrich new CRM leads with work emails and direct dials the moment they are created.
  • 03 Consolidate several Aurora clusters into one reporting database.
  • 04 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.

Common sync patterns

React to changes as they happen

Updates in Lusha arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.

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 Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Lusha objects How this pairing syncs
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. Read Replicas is specific to Amazon Aurora and Phone Numbers to Lusha — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. Databases is specific to Amazon Aurora and Prospecting Results to Lusha — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. Schemas is specific to Amazon Aurora and Bulk Enrichment Requests to Lusha — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. Tables is specific to Amazon Aurora and Person Profiles to Lusha — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Company Profiles Firmographic records (industry, size, location) appended to account or company rows. Views is specific to Amazon Aurora and Company Profiles to Lusha — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Email Addresses Work emails written into CRM contact fields during enrichment. Materialized Views is specific to Amazon Aurora and Email Addresses to Lusha — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Lusha

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Amazon Aurora Lusha Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryLusha does not accept inbound record writes, so this direction carries requests rather than records: Lusha's output flows back as field updates on the originating Amazon Aurora records.

Lusha Amazon Aurora Interval-based propagation

DetectionStacksync polls Lusha for changes on an incremental schedule, reading only records changed since the previous pass. Data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change.

DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Lusha: Lookups consume credits and are subject to the platform's API rate limits.
What ships with Amazon Aurora ⇄ Lusha

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Lusha record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Lusha 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 Lusha.

How the Amazon Aurora and Lusha 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

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Lusha connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Aurora and Lusha integration FAQ

SECURITY

Security teams trust 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
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 305 integrations available for Amazon Aurora and Lusha.

Popular · 6 of 305
All Amazon Aurora integrations All Lusha integrations Browse all integrations
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