Real-time
Real-time sync
Changes in Lusha or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
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.
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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 Matillion
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Migrated from Fivetran
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Migrated from Celigo
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
- 01 Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
- 02 Append firmographic company data to account records before territory or scoring runs.
- 03 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 04 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Prospecting Results is specific to Lusha and Tables to Postgres Heroku — 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 Read-side projections exposed to outbound syncs. | Bulk Enrichment Requests is specific to Lusha and Views to Postgres Heroku — 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. | Materialized Views Precomputed result sets synced outward on refresh. | Person Profiles is specific to Lusha and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Company Profiles is specific to Lusha and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Email Addresses Work emails written into CRM contact fields during enrichment. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Email Addresses is specific to Lusha and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Phone Numbers is specific to Lusha and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Lusha and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Lusha Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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 Postgres Heroku records.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
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.
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.
- 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.
Lusha
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Lusha ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Lusha Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lusha and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Lusha and Postgres Heroku — Lusha is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Lusha: Usage is metered in credits per successful enrichment, which shapes how sync pipelines batch and deduplicate lookups. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Lusha and Postgres Heroku without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Lusha and Postgres Heroku records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Lusha and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Lusha–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Lusha and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Lusha: Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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