Adapter for Salesforce

Optimize scheduling for Salesforce activities.
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Integrated Scheduling for Your CRM Tasks

Adapter Overview

Tidal’s pre-built adapter for Salesforce integrates your CRM scheduling tasks in the Tidal platform with no scripting required. Our adapter works through the Salesforce API to take control of the activities in the Batch Apex scheduler. Those scheduling tasks are then seamlessly managed in Tidal Automation with more advanced scheduling functionality than what’s available in the native scheduler.

Batch Apex Jobs

Batch class is used in Salesforce to run millions of jobs that would exceed normal processing limits. Jobs are placed in the Salesforce Apex job queue. Tidal executes these jobs in order to stay within the limits of the Salesforce platform.

Apex Flex Queue Configuration

The Flex queue is a working area for up to 100 jobs. These jobs are taken out of the regular Apex queue and placed on hold in this queue. Through the Tidal UI, you can edit, reschedule and resequence these jobs and put them back into the Apex queue – no need to go into the Flex queue to perform those tasks.

Bulk Data Load Jobs

These jobs are used to perform an operation (query, insert, update, delete, etc.) on a specified Salesforce object for a large number of records on a specified Salesforce object. The operation is performed asynchronously by running it in batches against the records.

Reports and Dashboards

Where We Run

The Cloud

Tidal’s enterprise-wide automation platform transcends the inherent limitations associated with standalone point products or native cloud schedulers. We can automate and orchestrate cross-application workloads and enterprise-wide business processes that traverse multiple clouds and hybrid environments – all from a single-pane-of-glass view.


Tidal helps you optimize the value and performance of your legacy infrastructure while opening new opportunities to leverage next-gen applications and workflows. From pure on-prem to hybrid on-prem and cloud engagements – the answer is Tidal.

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