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Business productivity ⇄ Database

Lusha to Postgres Heroku integration — real-time data sync

Keep Lusha and Postgres Heroku 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 Postgres Heroku

Mirror Lusha's data into Postgres Heroku so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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

Engineers integrate with tools like Lusha through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Postgres Heroku.

Stacksync mirrors Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles from Lusha into Tables, Views, Materialized Views, Schemas in Postgres Heroku and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Lusha, so the tool and the database never disagree.

Common use cases

  • Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
  • Append firmographic company data to account records before territory or scoring runs.
  • Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos

Read Lusha with a query

Records from Lusha are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.

Automate Lusha from your codebase

Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Lusha, replacing custom integration code.

React to changes as they happen

Updates in Lusha arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.

What you can sync between Lusha and Postgres Heroku

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 Postgres Heroku objects
Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. Tables Standard Postgres tables; the primary two-way sync target for app data.
Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. Views Read-side projections exposed to outbound syncs.
Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. Materialized Views Precomputed result sets synced outward on refresh.
Company Profiles Firmographic records (industry, size, location) appended to account or company rows. Schemas Namespaces that scope which tables a sync reads and writes.
Email Addresses Work emails written into CRM contact fields during enrichment. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
What ships with Lusha ⇄ Postgres Heroku

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lusha or Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your Lusha ⇄ Postgres Heroku 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 Postgres Heroku.

How the Lusha and Postgres Heroku 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.

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

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

    Choose tables

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

Lusha and Postgres Heroku 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 Lusha and Postgres Heroku.

Popular · 8 of 386
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