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Business productivity ⇄ Database

Lusha to SQL Server integration — real-time data sync

Keep Lusha and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Lusha and SQL Server

Mirror Lusha's data into SQL Server 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 SQL Server, so SQL Server 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 SQL Server.

Stacksync mirrors Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles from Lusha into Databases, Schemas, Tables, Views in SQL Server 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 Append firmographic company data to account records before territory or scoring runs.
  • 02 Build prospecting lists from Lusha search results and sync them into the CRM as leads.
  • 03 Feed a cloud warehouse from SQL Server continuously using native CDC instead of SSIS batch jobs
  • 04 Consolidate branch or plant databases into a single operational SQL Server hub

Common sync patterns

Read Lusha with a query

Records from Lusha are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.

Automate Lusha from your codebase

Write to the synced tables in SQL Server 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 SQL Server, so triggers, jobs, and services can respond in near real time.

What you can sync between Lusha and SQL Server

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.

Lusha objects SQL Server objects How this pairing syncs
Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. Schemas Namespaces (dbo and custom) used to organize synced tables. Person Profiles is specific to Lusha and Schemas to SQL Server — each maps to any object or custom field on the other side.
Company Profiles Firmographic records (industry, size, location) appended to account or company rows. Tables The primary sync target; rows map to records in connected systems. Company Profiles is specific to Lusha and Tables to SQL Server — each maps to any object or custom field on the other side.
Email Addresses Work emails written into CRM contact fields during enrichment. Views Read-side projections used as outbound sync sources. Email Addresses is specific to Lusha and Views to SQL Server — each maps to any object or custom field on the other side.
Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. Columns Field-level mapping targets with T-SQL types. Phone Numbers is specific to Lusha and Columns to SQL Server — each maps to any object or custom field on the other side.
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 and conflict handling. Prospecting Results is specific to Lusha and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side.
Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. Bulk Enrichment Requests is specific to Lusha and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Lusha and SQL Server

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.

Lusha SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Lusha Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

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 SQL Server records.

Rate-limit considerations

  • Lusha: Lookups consume credits and are subject to the platform's API rate limits.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Lusha ⇄ SQL Server

Connect Lusha and SQL Server for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lusha or SQL Server 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 Lusha or SQL Server record.

Observability

Monitoring

Track your Lusha ⇄ SQL Server sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Lusha and SQL Server.

How the Lusha and SQL Server connectors work

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.

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Lusha to SQL Server — 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 Lusha and SQL Server 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
    Lusha connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Lusha and SQL Server 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 · Lusha ⇄ SQL Server
    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
    Lusha SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Lusha and SQL Server 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 410 integrations available for Lusha and SQL Server.

Popular · 6 of 410
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