Real-time sync
Changes in Lusha or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Records from Lusha are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Lusha, replacing custom integration code.
Updates in Lusha arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–Postgres Heroku connection.
Changes in Lusha or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Lusha or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Lusha or Postgres Heroku record.
Track your Lusha ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Lusha and Postgres Heroku.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Lusha and Postgres Heroku.