Feature Marketplace · Connectors

Salesforce Connector

Salesforce Sales Cloud CRM. Syncs accounts, contacts, opportunities, and cases via the REST API (v61.0) using SOQL query endpoints with OAuth 2.0 bearer authentication.

Connectors connector CRM

What syncs

The Salesforce records STRAX brings into your hub.

Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it.

Accounts

Salesforce Account records retrieved via SOQL query, including industry, billing address, and revenue details.

Contacts

Salesforce Contact records retrieved via SOQL query, including personal details, account association, and mailing address.

Opportunities

Salesforce Opportunity records retrieved via SOQL query, including stage, amount, probability, and close date.

Cases

Salesforce Case records retrieved via SOQL query, including status, priority, origin, and escalation state.

Salesforce data in your own SQL Server, then wherever it is needed.

STRAX is a self-hosted integration platform. The Salesforce records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Salesforce with an access token that you provide, stored encrypted.

About this listing

Version1.0.1
AuthorSTRAX
CategoryConnectors
Published2026-07-15

What's inside

Connector profile 1

Free listing

Install it from Feature Marketplace inside STRAX

Open Feature Marketplace

In your STRAX installation, open Feature Marketplace from the navigation.

Find "Salesforce Connector"

Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.

Install

Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.

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See it on your own systems.

A demo takes an hour, on your data landscape rather than ours.