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2025-08-05

CAML vs REST vs JSON for SharePoint Lists

CAML vs REST vs JSON for SharePoint Lists
Stop Wasting Hours on Slow Microsoft Lists: CAML vs REST vs JSON—Which One Actually Wins in the Real World? If you’ve ever hit a performance wall in Microsoft Lists or SharePoint, you’re not alone. In this episode, we expose why the “modern” choice isn’t always the fastest. We break down where CAML…

CAML vs REST vs JSON in Microsoft Lists: The Uncomfortable Truth About Performance, Scale, and “Modern” Choices

Overview

Power Platform pros love REST and JSON formatting—but many real-world Lists still run better with CAML for complex, server-side filtering. We compare the strengths, tradeoffs, and gotchas so you can pick the right tool before you ship.

Who This Is For

  • Power Platform makers & SharePoint admins

  • Power Automate flow builders

  • Architects owning Lists at >5k items or complex filters

  • Teams fighting throttling, timeouts, or sluggish views

Key Takeaways

  • CAML isn’t dead: It excels at complex AND/OR logic, nested lookups, calculated fields, and large lists by pushing work to the SharePoint backend.

  • REST is everywhere—but not invincible: Great for integrations and cloud tooling, but prone to throttling, payload bloat, and client-side stitching under load.

  • JSON Formatting = instant UI wins: Perfect for quick, pretty views—until item counts spike and browsers choke on heavy client-side logic.

  • Match tool to task:

    • CAML → heavy server-side filtering, large datasets, strict column selection

    • REST → interoperability, connectors, Power BI/Teams/3rd-party integrations

    • JSON → lightweight, tactical UI enhancements (not long-term dashboards)

Deep Dive

Why CAML Refuses to Die

  • Strengths

    • Complex, deeply nested filters with efficient server-side execution

    • Precise column selection and paging; avoids dragging megabytes over the wire

    • Plays nicely with list view thresholds (5,000+) when queries are indexed/specific

  • Watch-outs

    • Verbose XML; steeper learning curve and scarcer “modern” docs

  • Best For

    • Large lists, intricate business rules, calculated fields, multi-lookup filters

REST: The Double-Edged Default

  • Strengths

    • Universal, documented, connector-friendly (Power Automate, Power BI, Teams)

    • Easy JSON payloads; broad CRUD coverage

  • Watch-outs

    • Throttling (429s), retries, and silent slowdowns at scale

    • Client-heavy data shaping (looping, merging, filtering) → increased latency

    • Batch writes need careful orchestration and error handling

  • Best For

    • Integrations, dashboards, cross-cloud scenarios, quick automation glue

JSON Formatting: Custom UI or Unseen Trap?

  • Strengths

    • Fast, code-light visual polish (status pills, bars, icons, buttons)

    • Empowers makers without custom SPFx or app builds

  • Watch-outs

    • Client-side performance cost grows with item count & nested conditions

    • Maintainability: complex formatting = “curly-brace spaghetti”

    • Platform changes can break clever hacks; don’t use to “hide” permissions

  • Best For

    • Small/medium lists, tactical views, temporary dashboards, internal boards

Decision Framework (quick rubric)

  1. Complex filters or giant lists? Start with CAML.

  2. Need integrations or broad tooling support? Use REST, but load-test for throttling.

  3. Need UI polish today? Apply JSON lightly; keep logic simple and views lean.

  4. Production readiness: index key columns, minimize returned fields, test with prod-scale data.

  5. Security: set real permissions; don’t “hide” data with formatting tricks.

Performance & Resilience Checklist

  • Index columns used in filters/sorts

  • Return only needed fields (select/expand minimal)

  • Use CAML for multi-layered logic and tight server-side filtering

  • For REST: implement exponential backoff, chunking, and idempotent retries

  • Avoid client-side loops on large payloads; push work server-side where possible

  • Keep JSON formatting minimal; test with real item counts and older browsers/devices

  • Monitor: latency, 429 rates, payload sizes, and failed retries in production

Real-World Gotchas Highlighted

  • REST migrations that pass dev tests but collapse at 40k–75k items due to throttling and payload size

  • JSON-heavy views that look great at 500 items but lag badly at 10k+

  • Security reviews flagging formatting-exposed metadata that should’ve been permission-trimmed

Practical “When to Use What”

  • CAML: approval rules spanning calculated + lookup fields; complex AND/OR; threshold-safe paging

  • REST: Power BI taps, Teams tabs, third-party connectors, cross-service automations

  • JSON: executive status board, quick color-coding, link buttons—short-term, low-complexity

Call to Action

Have a spicy CAML snippet, a REST throttling war story, or a clever JSON trick? Share it—your workaround might save someone else’s rollout.

YouTube

Host: Mirko Peters

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