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Data warehouse ⇄ Business productivity

Apache Druid to Lusha integration — real-time data sync

Keep Apache Druid 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.

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  • 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 Apache Druid and Lusha

Get the data locked inside Lusha into Apache Druid 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 Apache Druid, so Apache Druid 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.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • Sync Druid query results into a warehouse to combine real-time aggregates with historical models.

History that outlives the tool

A continuously synced copy in Apache Druid 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 Apache Druid 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 Apache Druid 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.

Apache Druid objects Lusha objects
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Email Addresses Work emails written into CRM contact fields during enrichment.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Lookups Key-value mappings joined at query time, refreshable from external systems. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
What ships with Apache Druid ⇄ Lusha

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Lusha record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Lusha connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Lusha connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Lusha
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid 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
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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 Apache Druid and Lusha.

Popular · 8 of 386
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