Real-time sync
Changes in Azure SQL Database or Lusha instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database 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 Azure SQL Database, so Azure SQL Database 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 Azure SQL Database.
Stacksync mirrors Bulk Enrichment Requests, Person Profiles, Company Profiles, Email Addresses from Lusha into Tables, Views, Schemas, Rows and columns in Azure SQL Database 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.
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 Azure SQL Database; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Azure SQL Database and Stacksync propagates the change into Lusha, replacing custom integration code.
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.
| Azure SQL Database objects | Lusha objects | |
|---|---|---|
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Email Addresses Work emails written into CRM contact fields during enrichment. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Lusha connection.
Changes in Azure SQL Database or Lusha instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database 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 Azure SQL Database or Lusha record.
Track your Azure SQL Database ⇄ Lusha sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database and Lusha. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; 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: Bulk Enrichment Requests, Person Profiles, Company Profiles, Email Addresses, plus custom fields where Lusha exposes them. On the Azure SQL Database side: Tables, Views, Schemas, Rows and 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 Azure SQL Database. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Azure SQL Database and Lusha: One integration pattern for the whole stack; Read Lusha with a query; Automate Lusha from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 Azure SQL Database and Lusha.