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Data warehouse ⇄ Business productivity

Apache Pinot to Lusha integration — real-time data sync

Keep Apache Pinot 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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Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Pinot and Lusha

Get the data locked inside Lusha into Apache Pinot 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 Pinot, so Apache Pinot 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

  • Append firmographic company data to account records before territory or scoring runs.
  • Build prospecting lists from Lusha search results and sync them into the CRM as leads.
  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.

Where Lusha accepts updates: operational write-back

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

History that outlives the tool

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

What you can sync between Apache Pinot 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 Pinot objects Lusha objects
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Tenants Logical groupings that isolate workloads on shared clusters. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Email Addresses Work emails written into CRM contact fields during enrichment.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. 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 Apache Pinot ⇄ Lusha

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot 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 Pinot or Lusha record.

Observability

Monitoring

Track your Apache Pinot ⇄ 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 Pinot and Lusha.

How the Apache Pinot and Lusha connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

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

    Choose tables

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

Apache Pinot 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 Apache Pinot and Lusha.

Popular · 8 of 386
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