Jitterbit Data Loader for Mac was discontinued in May 2024. The last release was a 32-bit app that no longer runs on modern macOS. QueryFlow is the actively-developed Mac-native successor.
Jitterbit Data Loader was the most popular free Salesforce data loader for nearly a decade. The Mac version (last release 10.72) was a 32-bit Java application. When Apple dropped 32-bit support in macOS Catalina (10.15) in 2019, the Mac version stopped working on new machines. Jitterbit announced the official discontinuation of the Mac version in May 2024 and retired the free Cloud Data Loader entirely in November 2025. Mac-based Salesforce admins have been without a Jitterbit option for two years.
Jitterbit's core business is the Harmony platform — an enterprise integration platform competing with MuleSoft and Informatica. The free Data Loader was a marketing tool that funneled users into the paid platform. Maintaining a separate Mac codebase, especially upgrading to 64-bit and modern macOS frameworks, was not strategic for Jitterbit's enterprise direction. The Mac users were a small minority of their funnel.
QueryFlow is a pure Swift macOS app built by yforest llc. It connects to Salesforce via OAuth 2.0, supports Insert, Update, Upsert, and Query operations on any standard or custom object, includes a Visual ETL builder with bezier-curve field mapping, and schedules jobs locally on your Mac. It is actively developed (v1.5.0 shipped in May 2026), available on the Mac App Store, and priced at $49.99 per month or $299.99 per year with a 14-day free trial.
Jitterbit Data Loader required downloading a Java runtime, installing the desktop client, configuring a Salesforce Connected App, and walking through OAuth in a browser flow that was fragile on Mac. QueryFlow installs from the Mac App Store like any other Mac app — one click, no Java, no terminal commands. The Salesforce OAuth flow is a single browser sign-in and returns you to QueryFlow with the connection ready.
Jitterbit Data Loader used XML-based operation files to define data loads. You'd configure an operation, save it, and run it later. The configuration UI was functional but dated. QueryFlow's Visual ETL pipeline builder is a modern canvas — drag a source card, drag a destination card, click between them to open the Field Mapper, map fields visually, hit Run. Pipelines are stored as part of your QueryFlow workspace and can be re-run with one click or scheduled to run automatically.
Jitterbit's scheduled jobs ran locally on the machine where Jitterbit was installed. For Mac users post-2019, this meant running Windows in Parallels or VMware just to keep scheduled jobs alive — an absurd workaround. QueryFlow runs scheduled jobs natively on macOS using background task APIs. Your Mac stays awake (or wakes on schedule if you have power management configured), runs the job, and goes back to sleep. No virtualization, no second OS, no licensing two operating systems.
Jitterbit Data Loader had no AI capabilities. QueryFlow includes Claude AI integrated into the SQL editor with full schema awareness. When you connect Salesforce, Claude sees every object and every field. Ask it to write a SOQL query, explain an error, or transform results with Python, and it does. For admins who never had to write SOQL before but suddenly need to, this is the difference between a 30-minute task and a 30-second task.
The last Mac release (10.72) was 32-bit and does not run on macOS Catalina (10.15) or later. Running an older macOS just to keep Jitterbit working is technically possible but creates security and compatibility issues. The recommended path is migrating to an actively-supported tool like QueryFlow.
Not directly. Jitterbit operation files are XML-based and specific to Jitterbit's runtime. Recreating an operation in QueryFlow's Visual ETL builder typically takes 5-15 minutes per operation. Most users find that the new pipelines are easier to understand than the original Jitterbit XML.
Yes. QueryFlow's Salesforce connector uses the REST API with the full OAuth scope, which grants access to every standard object (Account, Contact, Lead, Opportunity, Case, etc.) and every custom object in your org. The same data Jitterbit could move, QueryFlow can move.
QueryFlow supports both Production and Sandbox Salesforce environments. When adding a connection, specify the Instance URL — use https://login.salesforce.com for Production, https://test.salesforce.com for Sandbox. Each environment is a separate connection in QueryFlow.
QueryFlow is a Mac App Store application, not an AppExchange-listed managed package. The Salesforce integration happens through the standard REST and Bulk APIs via a Connected App you create in your Salesforce org. This is the same integration model dataloader.io and Jitterbit use.
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