Real-time
Real-time sync
Changes in Lusha or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Lusha to OpenSearch integration — real-time data sync
Keep Lusha and OpenSearch 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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Why teams connect Lusha and OpenSearch
Mirror Lusha's data into OpenSearch 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 OpenSearch, so OpenSearch 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 OpenSearch.
Stacksync mirrors Bulk Enrichment Requests, Person Profiles, Company Profiles, Email Addresses from Lusha into Index templates, Ingest pipelines, Data streams, Snapshots in OpenSearch 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 Re-verify stale contact data on a schedule and flag records that no longer resolve.
- 02 Enrich new CRM leads with work emails and direct dials the moment they are created.
- 03 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.
- 04 Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
Common sync patterns
Automate Lusha from your codebase
Write to the synced tables in OpenSearch 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 OpenSearch, 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.
What you can sync between Lusha and OpenSearch
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 | OpenSearch objects | How this pairing syncs | |
|---|---|---|---|
| Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | Documents JSON records written via the index and bulk APIs and read via search queries | Person Profiles is specific to Lusha and Documents to OpenSearch — 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. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Company Profiles is specific to Lusha and Index aliases to OpenSearch — each maps to any object or custom field on the other side. | |
| Email Addresses Work emails written into CRM contact fields during enrichment. | Index templates Mapping and settings presets applied to new indexes a sync creates | Email Addresses is specific to Lusha and Index templates to OpenSearch — each maps to any object or custom field on the other side. | |
| Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | Ingest pipelines Server-side processors that transform documents as they are written | Phone Numbers is specific to Lusha and Ingest pipelines to OpenSearch — 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. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | Prospecting Results is specific to Lusha and Data streams to OpenSearch — 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. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | Bulk Enrichment Requests is specific to Lusha and Snapshots to OpenSearch — each maps to any object or custom field on the other side. |
How changes propagate between Lusha and OpenSearch
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 OpenSearch 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.
OpenSearch Lusha Interval-based propagation
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
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 OpenSearch records.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
- OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Lusha ⇄ OpenSearch
Connect Lusha and OpenSearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–OpenSearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Lusha or OpenSearch 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 OpenSearch record.
Observability
Monitoring
Track your Lusha ⇄ OpenSearch 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 OpenSearch.
How the Lusha and OpenSearch 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.
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
How it works
How to connect Lusha to OpenSearch — 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 OpenSearch 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
OpenSearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Lusha and OpenSearch 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 ⇄ OpenSearchCustomers 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 OpenSearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lusha and OpenSearch integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Lusha and OpenSearch — 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 is a read-only source, so this integration runs one-way: Stacksync reads from Lusha in real time and delivers into OpenSearch. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Lusha and OpenSearch: Automate Lusha from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in OpenSearch and Stacksync propagates the change into Lusha, replacing custom integration code.
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Lusha: REST API. Authentication: API key. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.
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Lusha: Usage is metered in credits per successful enrichment, which shapes how sync pipelines batch and deduplicate lookups. OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. Stacksync's field mapping accounts for these differences between Lusha and OpenSearch 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 OpenSearch records are not retained after a sync operation.
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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