Real-time
Real-time sync
Changes in Lusha or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Lusha to Oracle DB integration — real-time data sync
Keep Lusha and Oracle DB 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 Oracle DB
Mirror Lusha's data into Oracle DB 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 Oracle DB, so Oracle DB 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 Oracle DB.
Stacksync mirrors Prospecting Results, Bulk Enrichment Requests, Person Profiles, Company Profiles from Lusha into Schemas, Sequences, PL/SQL procedures and packages, Partitions in Oracle DB 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 Append firmographic company data to account records before territory or scoring runs.
- 02 Build prospecting lists from Lusha search results and sync them into the CRM as leads.
- 03 Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
- 04 Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.
Common sync patterns
Automate Lusha from your codebase
Write to the synced tables in Oracle DB 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 Oracle DB, 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 Oracle DB
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 | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| Email Addresses Work emails written into CRM contact fields during enrichment. | Schemas Per-user namespaces that scope sync permissions and object visibility | Email Addresses is specific to Lusha and Schemas to Oracle DB — each maps to any object or custom field on the other side. | |
| Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | Sequences Key generators to respect when external systems insert rows | Phone Numbers is specific to Lusha and Sequences to Oracle DB — 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. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Prospecting Results is specific to Lusha and PL/SQL procedures and packages to Oracle DB — 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. | Partitions Physical subdivisions relevant when replicating high-volume tables | Bulk Enrichment Requests is specific to Lusha and Partitions to Oracle DB — 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. | JSON columns Document data stored in the converged engine and synced alongside relational rows | Person Profiles is specific to Lusha and JSON columns to Oracle DB — 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. | Tables The primary read/write surface for row-level sync over SQL | Company Profiles is specific to Lusha and Tables to Oracle DB — each maps to any object or custom field on the other side. |
How changes propagate between Lusha and Oracle DB
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 Oracle DB 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 Oracle DB as a row-level write, with types converted between the two schemas.
Oracle DB Lusha Sub-second propagation
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
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 Oracle DB records.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
- Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with Lusha ⇄ Oracle DB
Connect Lusha and Oracle DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–Oracle DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Lusha or Oracle DB 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 Oracle DB record.
Observability
Monitoring
Track your Lusha ⇄ Oracle DB 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 Oracle DB.
How the Lusha and Oracle DB 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.
Oracle DB
- Integration surface
- SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
- Authentication
- database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
- Change detection
- log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by database resources rather than API quotas
How it works
How to connect Lusha to Oracle DB — 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 Oracle DB 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
Oracle DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Lusha and Oracle DB 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 ⇄ Oracle DBCustomers 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 Oracle DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lusha and Oracle DB integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Lusha and Oracle DB — 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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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 Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. 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 Oracle DB side: Schemas, Sequences, PL/SQL procedures and packages, Partitions. 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 Oracle DB. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Lusha and Oracle DB: Automate Lusha from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Oracle DB and Stacksync propagates the change into Lusha, replacing custom integration code.
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Lusha: REST API. Authentication: API key. Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. Stacksync manages authentication, retries, and rate limits on both sides.
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
Every pair below is a real-time, two-way sync. Search all 329 integrations available for Lusha and Oracle DB.
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