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Data warehouse ⇄ Business productivity

Cloudera Data Platform to Lusha integration — real-time data sync

Keep Cloudera Data Platform 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 Cloudera Data Platform and Lusha

Get the data locked inside Lusha into Cloudera Data Platform 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 Cloudera Data Platform, so Cloudera Data Platform 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

  • Enrich new CRM leads with work emails and direct dials the moment they are created.
  • Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
  • Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
  • Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.

History that outlives the tool

A continuously synced copy in Cloudera Data Platform 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 Cloudera Data Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Lusha's data with data from every other synced system to answer questions no single tool can.

What you can sync between Cloudera Data Platform 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.

Cloudera Data Platform objects Lusha objects
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Email Addresses Work emails written into CRM contact fields during enrichment.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Views SQL views that can present curated, sync-ready projections of raw lake data. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls.
What ships with Cloudera Data Platform ⇄ Lusha

Connect Cloudera Data Platform and Lusha for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Lusha record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Lusha.

How the Cloudera Data Platform and Lusha connectors work

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API 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 Cloudera Data Platform 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 Cloudera Data Platform 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
    Cloudera Data Platform connected
    Lusha connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform 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 · Cloudera Data Platform ⇄ 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
    Cloudera Data Platform Lusha
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Cloudera Data Platform 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Cloudera Data Platform and Lusha.

Popular · 8 of 386
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