Real-time
Real-time sync
Changes in AWS Aurora PostgreSQL or Lusha instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
AWS Aurora PostgreSQL to Lusha integration — real-time data sync
Keep AWS Aurora PostgreSQL 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora PostgreSQL and Lusha
Mirror Lusha'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.
Lusha is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL 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 PostgreSQL.
Stacksync mirrors Person Profiles, Company Profiles, Email Addresses, Phone Numbers from Lusha into Rows, Columns, Primary keys and constraints, Views and materialized views 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 Lusha, so the tool and the database never disagree.
Common use cases
- 01 Build prospecting lists from Lusha search results and sync them into the CRM as leads.
- 02 Re-verify stale contact data on a schedule and flag records that no longer resolve.
- 03 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
- 04 Sync JSONB-heavy application data into structured objects in downstream business systems.
Common sync patterns
Automate Lusha from your codebase
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Lusha, replacing custom integration code.
React to changes as they happen
Updates in Lusha arrive as row changes in AWS Aurora PostgreSQL, 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.
What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects | Lusha objects | How this pairing syncs | |
|---|---|---|---|
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | Databases and schemas is specific to AWS Aurora PostgreSQL and Person Profiles to Lusha — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | Tables is specific to AWS Aurora PostgreSQL and Company Profiles to Lusha — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Email Addresses Work emails written into CRM contact fields during enrichment. | Rows is specific to AWS Aurora PostgreSQL and Email Addresses to Lusha — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | Columns is specific to AWS Aurora PostgreSQL and Phone Numbers to Lusha — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Prospecting Results to Lusha — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | Views and materialized views is specific to AWS Aurora PostgreSQL and Bulk Enrichment Requests to Lusha — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL Lusha Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
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 AWS Aurora PostgreSQL records.
Lusha AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
What ships with AWS Aurora PostgreSQL ⇄ Lusha
Connect AWS Aurora PostgreSQL and Lusha for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Lusha connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Lusha record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Lusha.
How the AWS Aurora PostgreSQL and Lusha 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
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 PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
Lusha
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ LushaCustomers 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 PostgreSQL LushaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Lusha integration FAQ
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Yes. Stacksync provides a managed, real-time integration between AWS Aurora PostgreSQL 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.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Lusha. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp 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.
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On the Lusha side: Person Profiles, Company Profiles, Email Addresses, Phone Numbers, plus custom fields where Lusha exposes them. On the AWS Aurora PostgreSQL side: Rows, Columns, Primary keys and constraints, Views and materialized views. Stacksync auto-detects both schemas and converts types between the two systems.
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Lusha is a read-only source, so this integration runs one-way: Stacksync reads from Lusha in real time and delivers into AWS Aurora PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for AWS Aurora PostgreSQL and Lusha: Automate Lusha from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Lusha, replacing custom integration code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 321 integrations available for AWS Aurora PostgreSQL and Lusha.
Popular · 4 of 321
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AWS Aurora PostgreSQL ⇄ Gainsight -
AWS Aurora PostgreSQL ⇄ Ironclad -
AWS Aurora PostgreSQL ⇄ Servicemax -
Lusha ⇄ MySQL
No integrations match .
