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Data warehouse ⇄ Business productivity

Databricks to Lusha integration — real-time data sync

Keep Databricks 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
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Databricks and Lusha

Get the data locked inside Lusha into Databricks as live tables, and send results back where Lusha can use them, without writing a pipeline.

Lusha is a read-only source: Stacksync reads its data in real time and delivers it into Databricks, so Databricks always reflects the current state of Lusha — without exports, scripts, or schedulers.

Whatever Lusha is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Common use cases

  • Build prospecting lists from Lusha search results and sync them into the CRM as leads.
  • Re-verify stale contact data on a schedule and flag records that no longer resolve.
  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.

Where Lusha accepts updates: operational write-back

Segments, scores, or reference values computed in Databricks sync back onto records in Lusha, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Databricks preserves a queryable record even as data ages out of Lusha or gets changed inside it.

Analytics on Lusha's data

Records and events from Lusha land in Databricks as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Databricks 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.

Databricks objects Lusha objects
Views Curated read-only projections used as sync sources for downstream tools. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
Volumes Unity Catalog file storage used for staging bulk loads. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls.
SQL Warehouses The compute endpoint a sync connects to for query execution. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Email Addresses Work emails written into CRM contact fields during enrichment.
What ships with Databricks ⇄ Lusha

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or Lusha record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Databricks and Lusha connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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 Databricks 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.

  1. 01

    Connect your apps

    Authenticate Databricks 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Databricks connected
    Lusha connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Databricks ⇄ Lusha
    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
    Databricks Lusha
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Lusha integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Databricks and Lusha.

Popular · 8 of 386
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