Real-time sync
Changes in Amazon RDS or Lusha instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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 RDS, so Amazon RDS 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 RDS.
Stacksync mirrors Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles from Lusha into Schemas, Tables, Views, Columns in Amazon RDS 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.
Records from Lusha are ordinary rows in Amazon RDS; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon RDS and Stacksync propagates the change into Lusha, replacing custom integration code.
Updates in Lusha arrive as row changes in Amazon RDS, so triggers, jobs, and services can respond in near real time.
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 RDS objects | Lusha objects | |
|---|---|---|
| Columns Field-level mapping targets, typed per the underlying engine. | Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Email Addresses Work emails written into CRM contact fields during enrichment. | |
| Schemas Namespaces within a database used to isolate synced tables. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Lusha connection.
Changes in Amazon RDS or Lusha instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS 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 RDS or Lusha record.
Track your Amazon RDS ⇄ Lusha sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS 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 RDS 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 RDS 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 RDS 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.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with 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: Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles, plus custom fields where Lusha exposes them. On the Amazon RDS side: Schemas, Tables, Views, Columns. 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 RDS. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon RDS and Lusha: Read Lusha with a query; Automate Lusha from your codebase; React to changes as they happen. Records from Lusha are ordinary rows in Amazon RDS; join them, index them, and use them in application logic without touching the vendor API.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. Lusha: REST API. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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 RDS and Lusha.