Real-time
Real-time sync
Changes in Elasticsearch or Lusha instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Elasticsearch to Lusha integration — real-time data sync
Keep Elasticsearch 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 Elasticsearch and Lusha
Mirror Lusha's data into Elasticsearch 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 Elasticsearch, so Elasticsearch 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 Elasticsearch.
Stacksync mirrors Prospecting Results, Bulk Enrichment Requests, Person Profiles, Company Profiles from Lusha into Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch 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
- Build prospecting lists from Lusha search results and sync them into the CRM as leads.
- Re-verify stale contact data on a schedule and flag records that no longer resolve.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
React to changes as they happen
Updates in Lusha arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Lusha with a query
Records from Lusha are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | Lusha objects | |
|---|---|---|
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Email Addresses Work emails written into CRM contact fields during enrichment. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. |
What ships with Elasticsearch ⇄ Lusha
Connect Elasticsearch and Lusha for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Lusha connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Lusha record.
Observability
Monitoring
Track your Elasticsearch ⇄ Lusha sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Lusha.
How the Elasticsearch and Lusha connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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.
- 01
Connect your apps
Authenticate Elasticsearch 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.
Elasticsearch
connected
Lusha
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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.
objects · Elasticsearch ⇄ LushaCustomers 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.
Elasticsearch LushaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Lusha integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Elasticsearch and Lusha — 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Lusha connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Lusha integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Lusha. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Lusha: Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Lusha side: Prospecting Results, Bulk Enrichment Requests, Person Profiles, Company Profiles, plus custom fields where Lusha exposes them. On the Elasticsearch side: Index mappings, Aliases, Data streams, Ingest pipelines. Stacksync auto-detects both schemas and converts types between the two systems.
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Lusha is a read-only source, so this integration runs one-way: Stacksync reads from Lusha in real time and delivers into Elasticsearch. Field mapping and monitoring work the same as for two-way pairs.
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 Elasticsearch and Lusha.
Popular · 8 of 386
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Elasticsearch ⇄ GitHub -
Elasticsearch ⇄ Atlassian -
Elasticsearch ⇄ Braze -
Elasticsearch ⇄ ConnectWise -
Lusha ⇄ Google Cloud SQL -
Lusha ⇄ IBM AS/400 -
Lusha ⇄ IBM Informix -
Lusha ⇄ InfluxDB
No integrations match .
