dataforce.work

Ship Salesforce metadata and data workflows faster than before

Explore org metadata, run SOQL, diff & deploy, coordinate data migrations, sync external databases, and back up everything with a local-first operations cockpit.

What's DF Contact Us

No vendor lock‑in. Works with your Salesforce CLI and projects.

dataforce operations cockpit
Active connection dev-sandbox
Scheduled tasks 4 active cron
CDC Stream Connected (122 event/m)
Metadata Diff — CustomField (Billing_Tier__c)
24<fullName>Billing_Tier__c</fullName>
25- <type>Text</type>
26- <length>50</length>
25+ <type>Picklist</type>
26+ <valueSet>
27+ <valueSetName>Tier_Values</valueSetName>
28+ </valueSet>
29 <label>Billing Tier</label>
AI Assistant Studio
Explain the Picklist CustomField XML changes and generate a SOQL query to test values.
The CustomField Billing_Tier__c is migrating from a free text field to a Picklist validated by Tier_Values. SELECT Billing_Tier__c, COUNT(Id) FROM Account GROUP BY Billing_Tier__c

Why teams pick dataforce.work

dataforce.work replaces disjointed command-line scripts, manual change spreadsheets, and insecure credentials management. We provide a secure, local-first cockpit that integrates natively with your Salesforce project directories, giving you full control over metadata, database syncs, and autopilot scheduling.

Multi-org control

Command every Salesforce org

Register production, sandbox, or scratch orgs in seconds, switch defaults on the fly, and keep device-flow authentication fresh without leaving the console.

Metadata control tower

Diff, validate, deploy with confidence

Snapshot metadata, compare sandboxes, and push validated deployments with rollbacks and report-ready package.xml manifests.

Autopilot jobs

Schedule everything once

Trigger backups, AI analyses, migrations, and validation runs from a unified job board with automated run triggers and granular status tracking.

AI & MCP Studio

Bring your own LLM & MCP tools

Connect your preferred AI models and Model Context Protocol (MCP) servers to summarize diffs, explain errors, and safely query databases inside your local stack.

Data pipelines

Sync with relational databases

Streamline migrations between orgs or external databases with relational transform configs, staging datasets, and reusable field mappings.

CDC radar

Catch changes as they happen

Spin up resilient streaming listeners that surface real-time Change Data Capture topics, replay events, and connection health in one view.

Relationship intelligence

Rebuild complex data graphs

Let the relationship discovery engine map parent-child schemas, lookup fields, and load order before you move a single record.

Governance ready

Stay audit-friendly by default

Encrypt credentials, persist run histories, and manage configurations with industry-standard parameter encryption plus exportable system logs.

What is dataforce.work?

dataforce.work is the operations cockpit for Salesforce builders. It pairs a robust backend service with a modular, local‑first dashboard so teams can explore metadata, run SOQL, orchestrate jobs, and keep regulated data on their own infrastructure.

Minutes-to-value onboarding Agent-ready AI surface Flow-guided job scheduling Explainable diff summaries Hands-off backup hygiene Realtime change radar Runbook-ready exports Human-friendly SOQL builder Role-aware collaboration Compliance stays local Confidence at deploy time Insightful health dashboards Directly translate labels Data consistency comparisons

Operational cockpit

  • Connect production, sandbox, and scratch orgs with device-flow authentication and quick active org switching.
  • Monitor scheduled runs, retry failed tasks, and view live execution logs from a single dashboard timeline.

Backup & restore operations

  • Schedule automated metadata retrieves (custom fields, objects, layouts, and flows) to secure snapshots.
  • Perform target validation and metadata restores with automated package.xml generation and rollback support.
  • Upload backups to cloud storage providers or retain files locally for strict regulatory compliance.

Relational migrations

  • Orchestrate parent-child data migrations, automatically resolving lookup fields and schema load order.
  • Build custom database schema mappings and field transformations to populate developer sandboxes.
  • Leverage interactive production validation shields to prevent accidental writes to live environments.

AI & governance

  • Integrate your choice of AI models and Model Context Protocol (MCP) servers to analyze metadata diffs and draft queries.
  • Encrypt all Salesforce credentials at rest with decryptions locked strictly to authorized read requests.
10x
Automated jobs

Schedule backups, migrations, validations, AI analyses, and CDC listeners without leaving the console.

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Hybrid file storage

Keep assets local or route them to your preferred cloud storage provider for redundancy and collaboration.

1-Click
Agent ecosystem

Discover A2A-compatible agents, capture configuration secrets securely, and prepare for future run automation.

Every workflow stays close to your Salesforce projects—no vendor lock-in, transparent logs, and tooling that grows with your release cadence.

Frequently Asked Questions

Absolutely. dataforce.work follows a local-first architecture. All Salesforce credentials, backup metadata snapshots, compare histories, and job logs are processed and stored strictly on your local machine or self-hosted infrastructure. No sensitive credentials or data ever egress to external services.
dataforce.work automatically detects all available languages configured in your Salesforce org through CustomObjectTranslation metadata. You can view, search, edit, and bulk-deploy field labels in French (fr), Spanish (es), German (de), Chinese (zh_CN), Japanese (ja), and any other supported language.
dataforce.work offers seven comprehensive comparison methods: Record Count, Sum Aggregation, Average Calculation, Min/Max Values, Field Distribution, Null Value Analysis, and Unique Value Count. Comparisons are performed directly via direct secure queries, allowing you to validate data consistency between production and sandboxes.
No managed packages, Apex classes, or Salesforce installations are required. dataforce.work interfaces directly with your Salesforce orgs using secure, standard OAuth / JWT connections and leverages your local Salesforce CLI executable under the hood.
Yes! The AI Studio features a fully configurable provider catalog. You can plug in any OpenAI-compatible endpoint, Gemini API, or custom Model Context Protocol (MCP) server. This lets you run local offline LLMs or specialized tools to assist you securely.

Talk with the team

Ready to simplify Salesforce operations? Share a few details and we will follow up with a playbook tuned to your release cadence.

  • Guided onboarding for data, metadata, and agent-ready pipelines.
  • Invites to upcoming new feature previews.
  • Contact us by dropping an email to [email protected].