Real-time sync
Changes in Amazon Aurora or Lusha instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Updates in Lusha arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Lusha are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
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 | |
|---|---|---|
| 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. | |
| 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. | |
| 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. | |
| Tables Relational tables synced bi-directionally at row level. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | |
| Views Read-only query-backed sources for downstream syncs. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Email Addresses Work emails written into CRM contact fields during enrichment. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Lusha connection.
Changes in Amazon Aurora or Lusha instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Lusha data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Lusha record.
Track your Amazon Aurora ⇄ Lusha sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Lusha.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Amazon Aurora and Lusha — Lusha is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Lusha. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Lusha: Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Lusha side: Email Addresses, Phone Numbers, Prospecting Results, Bulk Enrichment Requests, plus custom fields where Lusha exposes them. On the Amazon Aurora side: Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
Lusha is a read-only source, so this integration runs one-way: Stacksync reads from Lusha in real time and delivers into Amazon Aurora. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Aurora and Lusha: React to changes as they happen; One integration pattern for the whole stack; Read Lusha with a query. Updates in Lusha arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Aurora and Lusha.