The same power you’d build with custom code or cross-org sync — delivered as modular, rules-driven Executable records.
| Execution | Retrieved | Actioned | Failed |
|---|---|---|---|
| Account.Rollups.BulkAPI · 2026-05-16T10:09… | 0 | 0 | 0 |
| Batch-0001692988 | 0 | 0 | 0 |
| Batch-0001692986 | 0 | 0 | 0 |
| Batch-0001692985 | 0 | 0 | 0 |
| Batch-0001692983 | 0 | 0 | 0 |
Five surfaces, one consistent foundation. Pick one to see the capability, the architecture behind it, and the challenges it solves.
Configure batch jobs as records — run on demand, schedule, chain, and monitor large-volume processing without writing batch Apex, up to 20× faster than hand-built code.
View the #Batch recipes| Execution | Action | Retrieved | Actioned | Failed | |
|---|---|---|---|---|---|
| Contact.Merge | Merge | 0 | 0 | 0 | |
| Account.Cleanup | Update | 0 | 0 | 0 | |
| Opportunity.RollupSync | Upsert | 0 | 0 | 0 | |
| Lead.AutoConvert | Lead Convert | 0 | 0 | 0 | |
| Case.ArchiveStale | Delete | 0 | 0 | 0 | |
| Task.NotifyOverdue | Notify | 0 | 0 | 0 |
Building batch jobs from scratch consumes weeks of developer time for each new process — repeatable delivery becomes a struggle.
Build a batch job in a fraction of the time — 95% faster. Creating a job is as simple as creating a record. No custom code required.
Hand-crafted Apex batch processing is slow and resource-intensive — large volumes take hours, tying up the org.
Turn on Bulk API with a checkbox — a native high-volume processing path. Incremental Retrieve and Delta Update run only what changed — among many built-in optimizations.
Salesforce lacks built-in support for sequential batches. Teams build fragile workarounds to stretch limited scheduled job slots.
Chain batch jobs to run in sequence — eliminating fragile workarounds and freeing up scheduled job slots to avoid governor limits.
Scheduling batch Apex relies on rigid Setup forms or cron expressions, with no easy way to see which job runs which process, pause, reschedule, or get a holistic view.
Schedule, pause, reschedule, reassign, and monitor jobs through simple CRUD on Schedule records — no cron, full visibility.
Reshaping, enriching, deduping, or looking up values mid-batch means complex custom Apex, bulkified by hand.
Reshape, enrich, dedupe, mask, roll up, or look up values mid-batch — 170+ built-in functions for the most common use cases, bulk-safe out of the box — preview transformation before execution.
Most batch frameworks offer no record-level detail, no easy way to isolate failures, and no built-in audit trail for troubleshooting, re-execution, or compliance.
Each batch has its own log with record-level detail — enabling fast troubleshooting, targeted re-execution, and compliance audits.
Configure Data Lists & Action Buttons as Executables, then drop them onto any Lightning page — no developer required. Prototype in minutes.
View the #UI recipes
Out of the box, related lists are bound to a direct parent-child relationship — with no pagination, mass edits, mass deletes, column filters, or custom actions.
Render a fully editable list from a SOQL query with dynamic, complex filters — not just direct parent-child — then work it live: inline & mass edits, mass deletes, new records, pagination, column filters, and row actions.
Record-level actions belong with the record, list-level actions with the list. In practice they end up where they don't belong.
Action Buttons sit where they belong — within a Data List for selected-rows actions, on the Lightning record for record-level actions.
To complete one task, users jump between record pages, list views, reports, and quick actions — losing context with every jump.
Users complete the whole workflow on one page — view the record, scan Data Lists, act on rows or the record itself.
Editable tables and action buttons require custom LWC plus Apex controllers and Screen Flows — every tweak adds more hand-written code to build, test, and maintain.
No LWC, no Apex controller, no per-page rebuild — DSP ships UI components that render from your Executable configurations.
Bringing a meaningful action to life depends on a lengthy dev process — leaving the business with limited room to shape ideas.
Each Executable goes from idea to a functional Data List or Action Button in minutes — hands-on iteration, no code required.
Every automation and validation rule lives as a Salesforce record — flat, bulk-safe, and modular by design.
View the #Trigger recipesIn Apex, logic nests inside conditionals and loops; in Flow, canvases branch and invoke subflows. Behavior runs deep and spreads across files — one small change ripples through many.
Every rule is an Executable record — input, transform, output — that stands alone. No nesting, no cross-class chains, no hidden dependencies.
Apex needs hand-crafted bulkification; Flows hit performance walls at scale — demanding platform expertise that takes years to master.
No hand-crafted bulkification. The engine compiles your rules into an optimized plan that batches queries, aggregations, and DMLs across thousands at once.
The rules driving one process are split across many code files — no single place to read, audit, or change them.
Group #Trigger Executables into Pipelines — by object, domain, or shared scope — and manage them like any Data List: navigate, filter, and reorder in one view.
Every code change demands a dev, test, deploy cycle. As Apex/Flow accumulates, that cost compounds — simple updates take days.
Open a rule, change a formula, save — no per-rule code, admin owned. One small trigger handler wires the object in, just once.
Every release adds more bespoke Apex and Flow to own, test, and refactor — debt that accrues across the org and never pays itself down.
The model enforces modularity — every rule is a flat, uniform, bounded Executable record with formula-driven simplicity. Boundaries can't blur and code can't sprawl, so tech debt never accrues.
Native, reusable loaders configured as Executables — upload a CSV into a Lightning component and process it inside Salesforce, so your data and credentials never leave the org.
View the #Data Loader recipesFiles and credentials are handed to third-party services — exposed in transit, vulnerable to compromise.
Runs entirely inside the org — built on LWC and Apex. No installs, no external services, no third-party credentials in the path.
Most loaders map field-to-field. Reshaping, lookups, dedupe, and business rules happen in spreadsheets before every upload.
170+ functions for text, numbers, dates, logic, and lookups — extensible with Apex. No more Excel pre-cleaning before every load.
Every load means re-picking the object, action, and field mappings — the same steps, start to finish.
The mapping lives in the loader, not a wizard — re-run on demand with no re-picking objects or re-mapping fields.
Success and error CSVs are tracked by hand — easily lost, renamed, or forgotten. No reliable audit trail.
Execution logs are stored as related records, detailed to each row. Track every run, re-execute failed rows, or revert changes.
Loaders can't run from a Lightning page — no record context. Parent Ids get hard-coded into data files.
Embed a Data Loader in any Lightning page — on a Data List, or as an Action Button. Users load data right from the record's context — no hard-coded parent Ids.
Installs, wizards, complex mappings — running a loader is tech-heavy. Not something business users can pick up.
An admin configures the Executable once; anyone with access can run it — point, upload, go. No IT skills, no help-desk ticket.
Query Manager is a single Lightning surface for building, saving, and running SOQL — without writing a line of it — then acting on the results with full CRUD, all inside your org. Free on AgentExchange.
View the #Query recipes
Browser extensions and third-party add-ons operate outside the org — authorizing them grants a third-party service access to org data, beyond your security model and controls.
A Lightning component that runs inside your org, always in the current user's context. No external services, no separate authorization, no session exposed to a third party.
Writing SOQL by hand means learning a query language — exact API names, relationship syntax, filter operators — out of reach for most admins and business users.
Anyone can build a query, without knowing SOQL. Point, click, done.
Most query tools pull the entire result set into the browser — slow to render, heavy on the org, and quick to choke on large objects.
Server-side pagination fetches just the records you're viewing — fast and light even on millions of rows, with a live total count.
Most query tools return a static table of API names and raw values — something to read, not work with.
A fully-interactive, metadata-aware Data List — real field labels and types, edit inline or in bulk, paginate, and act on records in place.
Most query tools return API field names and unformatted values — record IDs instead of names, raw codes instead of picklist labels — leaving you to decode every column.
Labels not API names, clickable references, formatted dates & currency — and type-aware editing: picklists as dropdowns, dates as date pickers, lookups as search.
Today's automation, batch jobs, and UI components scatter across Apex triggers, Apex batch classes, Flows, and LWCs — wired together by hand. With DSP, every capability decomposes into cohesive, bounded modules — each one a rules-driven Executable record, edited side-by-side and governed as data.
In DSP, every batch, data list, action button, automation, validation, and import is the same — an Executable record, built from the same core stages. Learn one, and you know them all.
One shape across #Batch, #Data List, #Action Button, #Trigger, and #Data Loader.
Reshape, enrich, dedupe, validate, mask, lookup, and aggregate — bulk-safe and available in every Executable. Extensible with Apex.
All processing runs in Apex inside your installed org. No data, no credentials leave Salesforce — ever.
No external endpoints, no middleware, no third-party processors — nothing sits between the data and your org's Apex runtime.
Executables are Salesforce records — governed by standard profile, permission set, and sharing settings.
Cross-org actions use Named Credentials, fully managed by your admins. Never store credentials in code or files.
Every #Batch or #Data Loader run writes Execution records — input, output, errors. Troubleshoot, replay failed rows, or revert from one place.
Adding people never raises the bill. What you pay scales with the complexity you hand us: the Executables (rules), Connections (orgs), and data volume DSP takes off your plate. You pay for the problem solved — not for headcount. See how a license is sized →
Query Manager + 3 Executables. Real product, not a trial.
For teams that have outgrown the free tier and need the full surface area.
For orgs with sandbox lifecycles, DevOps needs, and multi-org data flows.
For high-volume orgs that need to process well beyond standard batch limits.
Prices shown per month, billed annually in USD.
Premium is a standalone success plan, available on the Business plan and up — a professional-services engagement priced at 25% of your purchased Data Sync Pro license. Standard support is included with all paid plans. See full Support Policy.
Configure rules-driven Executables instead. Tell us about your setup and we'll show you how DSP fits.
30 minutes — we'll walk through how DSP fits your org setup and answer questions live.
Someone will reach out within one business day to find a time that works.
Send us leads or implement DSP for your clients — we'll share commercial terms and partner onboarding details once we know your practice. Tell us a bit about yourself and we'll be in touch.
We review every partner inquiry personally. Expect a note within two business days with next steps and the partner agreement.
Tell us about your orgs. We'll confirm the right shape, send a quote, and provision once you're ready.
Your request just became a Lead in our Salesforce org. We'll review your org setup and follow up within one business day with a quote and next steps.