Real-time sync
Changes in Actian Vector or Lusha instantly reflect in both systems. No stale data, no manual imports.
Keep Actian Vector 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.
Lusha is a read-only source: Stacksync reads its data in real time and delivers it into Actian Vector, so Actian Vector always reflects the current state of Lusha — without exports, scripts, or schedulers.
Whatever Lusha is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Combine Lusha's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Actian Vector sync back onto records in Lusha, putting analysis where the work happens.
A continuously synced copy in Actian Vector preserves a queryable record even as data ages out of Lusha or gets changed inside it.
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.
| Actian Vector objects | Lusha objects | |
|---|---|---|
| Databases Top-level containers targeted by a sync connection. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | |
| Schemas Namespaces used to organize synced tables. | Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists. | |
| Tables Columnar tables that serve as sync sources or destinations. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | |
| Views SQL views readable as query-backed sync sources. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Email Addresses Work emails written into CRM contact fields during enrichment. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Lusha connection.
Changes in Actian Vector or Lusha instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Actian Vector or Lusha data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Actian Vector or Lusha record.
Track your Actian Vector ⇄ Lusha sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Actian Vector and Lusha.
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 Actian Vector 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.
Pick the Actian Vector 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.
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 Actian Vector 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.
On the Lusha side: Company Profiles, Email Addresses, Phone Numbers, Prospecting Results, plus custom fields where Lusha exposes them. On the Actian Vector side: Views, Columns, Users and Roles, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
Lusha is a read-only source, so this integration runs one-way: Stacksync reads from Lusha in real time and delivers into Actian Vector. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Actian Vector and Lusha: Cross-tool reporting; Where Lusha accepts updates: operational write-back; History that outlives the tool. Combine Lusha's data with data from every other synced system to answer questions no single tool can.
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. Lusha: REST API. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
Lusha: Usage is metered in credits per successful enrichment, which shapes how sync pipelines batch and deduplicate lookups. Actian Vector: Actian Vector is a columnar analytics database with vectorized query execution, so it is used as an analytical destination rather than a transactional source. Stacksync's field mapping accounts for these differences between Actian Vector and Lusha without custom code.
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 Actian Vector and Lusha.