Salesforce's official Apex Data Loader requires the Java Runtime Environment to run on Mac. QueryFlow is the native Swift alternative — no Java, no JVM startup time, full OAuth authentication, AI-assisted field mapping, and scheduled jobs that run while your Mac sleeps.
Quick answer: QueryFlow is the native Mac alternative to Apex Data Loader. While Apex Data Loader requires Java 11+ to run on macOS, QueryFlow is a pure Swift application that launches in under a second, uses OAuth 2.0 instead of username/password/security token, includes AI-assisted field mapping via Claude, and supports scheduled jobs natively. Available on the Mac App Store for $299.99/year.
Salesforce's Apex Data Loader is the official tool for bulk Salesforce data operations, supporting up to 5 million records per operation. On Mac it requires installing Java Runtime Environment (JRE) 11 or later, which adds 300-500MB to disk and introduces JVM cold-start latency. The UI is a wizard-style Java Swing application that doesn't follow macOS conventions (fonts, menus, trackpad behavior). Authentication uses username + password + security token, the legacy Salesforce auth pattern phased out for OAuth in modern integrations.
First, the Java dependency. Java is bloated, slow to start, and many Mac users actively avoid it for other reasons. Second, no scheduling. Apex Data Loader has command-line operation that admins occasionally hack into cron, but there's no native scheduling UI — every recurring operation requires building infrastructure around the tool. Third, no AI. The field mapping is purely manual, even when source columns clearly match destination fields (email_address → Email is obvious to any human, but Apex Data Loader makes you click each mapping).
Pure Swift means QueryFlow launches in under a second with no Java required. The Scheduler is a first-class feature — any pipeline can be scheduled with cron, interval, daily, weekly, or manual triggers, running via macOS SMAppService (App Store compliant). Claude AI is integrated into the field mapper with a one-click AI Map button that auto-detects 25+ common patterns. The combined experience feels like a Mac app from 2026, not a Java port from 2010.
Apex Data Loader uses the legacy authentication model: Salesforce username, password, and security token (which you reset every time your password changes). QueryFlow uses modern OAuth 2.0 with a Connected App authorization through your system browser. Tokens refresh automatically. No security token to manage. Credentials stored in macOS Keychain with Secure Enclave protection on Apple Silicon Macs.
Both tools support Salesforce's Bulk API v2 for large operations. Apex Data Loader handles up to 5 million records per session. QueryFlow uses the same underlying Bulk API v2 with automatic selection based on operation size — smaller operations use the standard REST API for faster turnaround, larger operations use Bulk API v2 for throughput. Both respect Salesforce's daily API limits and Salesforce-side rate limits.
QueryFlow's broader scope means workflows Apex Data Loader fundamentally cannot do: Snowflake-to-Salesforce reverse ETL, Postgres-to-Salesforce daily sync, marketing list import from Google Sheets to Salesforce Campaigns, scheduled CSV exports from SFTP to Salesforce with field validation. The same OAuth-authenticated Salesforce connection serves as both source and destination for any pipeline.
If your organization mandates the official Salesforce tool for compliance reasons, Apex Data Loader is the recommended path. If you need to operate on a Windows Server in a corporate VDI environment, the Windows version of Apex Data Loader is the better fit. If your operations are exclusively one-off, manual, and you don't mind Java, the free price tag is hard to beat. For everyone else on Mac, QueryFlow is the better daily-use tool.
QueryFlow uses Salesforce's official REST API and Bulk API v2 with the same OAuth Connected App authentication patterns Salesforce recommends for partner integrations. QueryFlow is not a Salesforce product — it's developed independently by yforest llc.
Yes. QueryFlow can read from and write to any standard or custom Salesforce object the authenticated user has API access to. This includes standard objects (Account, Contact, Lead, Opportunity, Case, etc.), custom objects, and the metadata objects accessible via API.
QueryFlow's Observatory dashboard tracks API call counts per pipeline run. For organizations approaching the daily API limit, the scheduler can be configured to throttle, batch, or distribute operations across time windows.
Yes. Apex Data Loader exports to CSV only. QueryFlow exports to CSV, JSON (newline-delimited or array), Parquet (for warehouse-friendly storage), or directly to S3, SFTP, email, Google Sheets, or writeback to other databases.
Yes. When adding a Salesforce connection, you can specify the environment (Production or Sandbox). The OAuth flow uses the appropriate login.salesforce.com or test.salesforce.com endpoint.
14-day free trial. No Java, no security tokens, no manual scheduling — just clean native macOS Salesforce data work.