Real-time
Real-time sync
Changes in Lusha or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Lusha to MariaDB integration — real-time data sync
Keep Lusha and MariaDB 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 MariaDB
Mirror Lusha's data into MariaDB 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 MariaDB, so MariaDB 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 MariaDB.
Stacksync mirrors Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles from Lusha into Stored Procedures, Databases (Schemas), Tables, Views in MariaDB 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 Build prospecting lists from Lusha search results and sync them into the CRM as leads.
- 02 Re-verify stale contact data on a schedule and flag records that no longer resolve.
- 03 Keep several MariaDB instances aligned with one system of record across environments
- 04 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
Common sync patterns
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 MariaDB; 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 MariaDB and Stacksync propagates the change into Lusha, replacing custom integration code.
What you can sync between Lusha and MariaDB
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 | MariaDB objects | How this pairing syncs | |
|---|---|---|---|
| Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | Columns Field-level mapping targets with engine-typed values. | Company Profiles is specific to Lusha and Columns to MariaDB — 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. | Email Addresses is specific to Lusha and Primary and Unique Keys to MariaDB — each maps to any object or custom field on the other side. | |
| Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Phone Numbers is specific to Lusha and System-Versioned Tables to MariaDB — 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. | JSON Columns Semi-structured payloads validated with JSON functions. | Prospecting Results is specific to Lusha and JSON Columns to MariaDB — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Bulk Enrichment Requests is specific to Lusha and Stored Procedures to MariaDB — 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. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Person Profiles is specific to Lusha and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side. |
How changes propagate between Lusha and MariaDB
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 MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
MariaDB Lusha Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
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 MariaDB records.
Rate-limit considerations
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Lusha ⇄ MariaDB
Connect Lusha and MariaDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lusha–MariaDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Lusha or MariaDB 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 MariaDB record.
Observability
Monitoring
Track your Lusha ⇄ MariaDB 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 MariaDB.
How the Lusha and MariaDB 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.
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Lusha to MariaDB — 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 MariaDB 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
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Lusha and MariaDB 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 ⇄ MariaDBCustomers 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 MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lusha and MariaDB integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Lusha and MariaDB — 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 Lusha and MariaDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Lusha–MariaDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Lusha and MariaDB. 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 MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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: Phone Numbers, Prospecting Results, Bulk Enrichment Requests, Person Profiles, plus custom fields where Lusha exposes them. On the MariaDB side: Stored Procedures, Databases (Schemas), Tables, Views. 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 MariaDB. Field mapping and monitoring work the same as for two-way pairs.
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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