Real-time
Two-way sync
Changes in Actian Vector or Freshsales instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Actian Vector to Freshsales integration — real-time, two-way sync
Keep Actian Vector and Freshsales 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 Fivetran
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Why teams connect Actian Vector and Freshsales
Sync Freshsales into Actian Vector continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Deals, Tasks, Appointments, Notes from Freshsales land in Actian Vector as live tables, updated within seconds, and columns computed in Actian Vector write back to fields in Freshsales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Sync sales activities and appointments into analytics tools for rep productivity reporting.
- 02 Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
- 03 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- 04 Keep reporting tables in Vector refreshed from production databases on a schedule.
Common sync patterns
Cleanup that sticks
Deduplication and normalization done in Actian Vector can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Freshsales are queryable in Actian Vector moments after they change, so dashboards stop lagging the reality they describe.
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Actian Vector appear as fields in Freshsales, where the people working accounts actually see them.
What you can sync between Actian Vector and Freshsales
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 | Freshsales objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables. | Accounts Company records kept aligned with billing, ERP, and warehouse tables. | Schemas is specific to Actian Vector and Accounts to Freshsales — each maps to any object or custom field on the other side. | |
| Tables Columnar tables that serve as sync sources or destinations. | Deals Pipeline records synced to a warehouse for revenue reporting. | Tables is specific to Actian Vector and Deals to Freshsales — each maps to any object or custom field on the other side. | |
| Views SQL views readable as query-backed sync sources. | Tasks Rep to-dos created from external triggers or synced for productivity reporting. | Views is specific to Actian Vector and Tasks to Freshsales — each maps to any object or custom field on the other side. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Appointments Scheduled meetings readable for activity analytics. | Columns is specific to Actian Vector and Appointments to Freshsales — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Notes Free-text records attached to contacts, accounts, and deals. | Users and Roles is specific to Actian Vector and Notes to Freshsales — each maps to any object or custom field on the other side. | |
| Databases Top-level containers targeted by a sync connection. | Sales activities Configurable activity types logged against records, useful for engagement scoring. | Databases is specific to Actian Vector and Sales activities to Freshsales — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Freshsales
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.
Actian Vector Freshsales Interval-based propagation
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is written to Freshsales through its API, with automatic retries and rate-limit backoff.
Freshsales Actian Vector Sub-second propagation
DetectionFreshsales notifies Stacksync of record changes through webhook events. Polling with updated-at filters through views.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
- Freshsales: Subject to per-account API rate limits that vary by Freshworks plan.
What ships with Actian Vector ⇄ Freshsales
Connect Actian Vector and Freshsales for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Freshsales connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Freshsales 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 Actian Vector or Freshsales record.
Observability
Monitoring
Track your Actian Vector ⇄ Freshsales sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Freshsales.
How the Actian Vector and Freshsales connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
Freshsales
- Integration surface
- REST API
- Authentication
- API key sent as a Token authorization header
- Change detection
- Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that vary by Freshworks plan
How it works
How to connect Actian Vector to Freshsales — 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 Actian Vector and Freshsales with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Actian Vector
connected
Freshsales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Freshsales 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 · Actian Vector ⇄ FreshsalesCustomers 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.
Actian Vector FreshsalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Freshsales integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Freshsales: authenticate both systems, choose the objects to sync (such as Actian Vector's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Actian Vector and Freshsales. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On Freshsales: Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations. 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 Freshsales side: Deals, Tasks, Appointments, Notes, plus custom fields where Freshsales exposes them. On the Actian Vector side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Actian Vector and Freshsales: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Actian Vector can be written back, so warehouse-side cleanup actually fixes the CRM.
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:
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