Library · Comparisons

Honest side-by-sides — including where our product loses

Comparisons built from public documentation, AWS Marketplace listings, and analyst commentary. Entries that include Jarvis (our product) open with a disclosure banner and mark categories where Jarvis loses. Every table is dated; every claim is cited.

  1. 01
    Includes Jarvis 11 min Published April 2026

    Jarvis vs Moveworks

    Our product against the Moveworks / ServiceNow AI Agents platform. Where we win (MCP-native, multi-LLM, transparent mid-market pricing) and where we lose (logo wall, ITSM-native depth).

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  2. 02
    Includes Jarvis 10 min Published April 2026

    Jarvis vs Glean

    Our product against Glean. Where we win (MCP-native, governance-first, private AWS deployment) and where we lose (connector catalog breadth, search ranking maturity).

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  3. 03
    Includes Jarvis 10 min Published April 2026

    Jarvis vs Copilot Studio

    Our product against Microsoft's Copilot Studio. Where we win (cloud-neutral, MCP-native, no Azure lock-in) and where we lose (M365 integration, enterprise footprint).

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  4. 04
    Field analysis · Includes Jarvis 10 min Published April 2026

    AWS AgentCore vs Azure AI Foundry

    Field analysis from teams shipping MCP servers and multi-agent systems on both clouds. Architecture, auth, A2A, framework stance — and where Jarvis Registry sits as the federation layer.

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  5. 05
    Enterprise search 13 min Updated April 2026

    Moveworks vs Glean

    After the $2.85B ServiceNow acquisition, the picture changed. A side-by-side rebuilt from both vendors' public documentation, AWS Marketplace listings, and analyst commentary.

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  6. 06
    Architecture 9 min Updated March 2026

    MCP vs RAG

    The two protocols people most often confuse. A side-by-side on what each is for and when to choose one over the other.

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  7. 07
    Platforms 12 min Published April 2026

    Agentforce vs Copilot Studio

    Two of the largest agent platforms, built on different architectural bets. Salesforce Data Cloud native vs Microsoft 365 native — pricing, LLM choice, MCP support, governance.

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  8. 08
    Platforms 11 min Published April 2026

    Google Agentspace vs Microsoft Copilot

    After the Gemini Enterprise rebrand. $21/$30 per seat vs $30 per user. Multi-model routing, connector breadth, and the procurement lever neither side has fully played.

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How this library works

Frequently asked

  1. How do you choose which products to compare?

    We compare pairs that enterprise buyers actually shortlist against each other, which is usually two vendors solving the same job from different architectural starting points. The trigger is a real evaluation: a pair shows up in three or more buyer conversations, or a market event (an acquisition, a repackaging, a pricing change) makes every existing comparison on the web stale. We do not publish a comparison because a keyword looks winnable.

  2. Do you compare Jarvis against competitors, and can that be neutral?

    Yes, and the honest answer is that we cannot be fully neutral — ASCENDING builds Jarvis. What we can do is make the bias inspectable. Every page that includes Jarvis opens with a disclosure banner, marks the Jarvis row in every table, and states the categories where Jarvis loses. Our MCP gateway evaluation scored ten gateways on ten documented criteria and Jarvis Registry finished last; we published that unchanged.

  3. How often are the comparisons updated?

    Every entry carries a visible date. We refresh a comparison when a priced or contractual fact changes — a seat price, a bundling change, a minimum, an acquisition — rather than on a calendar. Vendor pricing in this category moved several times during 2026, so treat any comparison whose date is more than two quarters old as a starting point and verify the numbers with the vendor before signing.

  4. Where do the numbers in the tables come from?

    Public vendor documentation and pricing pages, AWS Marketplace listings, filed financial disclosures, regulator and standards-body publications, and named analyst commentary. Each is cited inline with a link you can open. Where a widely repeated figure traces only to a competitor's blog or a partner post, we say so and label it as such rather than presenting it as a vendor fact.

  5. What do you do when a vendor disputes a claim?

    We correct it if the vendor can point at documentation that contradicts what we published, and we date the correction. If the disagreement is about interpretation rather than fact, we leave the claim and add the vendor's position alongside it. We do not remove unfavourable findings in exchange for access, and we do not accept vendor payment for placement in any comparison.