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Business productivity ⇄ Data warehouse

Lusha to MotherDuck integration — real-time data sync

Keep Lusha and MotherDuck 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 Lusha and MotherDuck

Get the data locked inside Lusha into MotherDuck 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 MotherDuck, so MotherDuck 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

  • 01 Build prospecting lists from Lusha search results and sync them into the CRM as leads.
  • 02 Re-verify stale contact data on a schedule and flag records that no longer resolve.
  • 03 Sync modeled MotherDuck tables outward to operational tools for activation
  • 04 Share curated, synced datasets with other teams through read-only database shares

Common sync patterns

Where Lusha accepts updates: operational write-back

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

History that outlives the tool

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

What you can sync between Lusha and MotherDuck

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 MotherDuck objects How this pairing syncs
Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. Schemas Namespaces within a database used to organize synced tables. Phone Numbers is specific to Lusha and Schemas to MotherDuck — 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. Tables The main landing target for synced records and source for analysis. Prospecting Results is specific to Lusha and Tables to MotherDuck — 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. Views Modeled projections used as outbound sync sources. Bulk Enrichment Requests is specific to Lusha and Views to MotherDuck — each maps to any object or custom field on the other side.
Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. Database Shares Read-only copies of a database shared with other users or teams. Person Profiles is specific to Lusha and Database Shares to MotherDuck — 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. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Company Profiles is specific to Lusha and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side.
Email Addresses Work emails written into CRM contact fields during enrichment. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Email Addresses is specific to Lusha and Databases to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between Lusha and MotherDuck

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 MotherDuck 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 MotherDuck as a row-level write, with types converted between the two schemas.

MotherDuck Lusha Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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 MotherDuck records.

Rate-limit considerations

  • Lusha: Lookups consume credits and are subject to the platform's API rate limits.
  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Lusha ⇄ MotherDuck

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lusha or MotherDuck 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 MotherDuck record.

Observability

Monitoring

Track your Lusha ⇄ MotherDuck 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 MotherDuck.

How the Lusha and MotherDuck 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.

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

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

    Choose tables

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

Lusha and MotherDuck 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 318 integrations available for Lusha and MotherDuck.

Popular · 8 of 318
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