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4 AI models · 17 ranked · updated aug 10, 2026

Best Backend-as-a-Service Platforms, according to AI (2026).

Supabase is the answer at the latest close: the consensus #1 at a score of 50 across all 4 models.

This guide is built from the recorded answers of ChatGPT, Claude, Gemini, Perplexity to the real questions buyers ask about backend-as-a-service platforms. We logged 1,230 of them this period, covering 17 tools. We report what the models said, in the order they said it. Nobody paid to be here, and we don't add opinions of our own.

Prefer the raw board? See the full model-by-model ranking. Every rank, every score, every close.

The ranked list

  1. #1

    Supabase

    No change from the last close

    Supabase holds the consensus #1 at a score of 50, with Gemini and Perplexity placing it first outright.

    For a new app, my default choice is Supabase unless you have a clear reason to optimize for mobile offline sync, edge-native workloads, or a highly reactive TypeScript backend.

    ChatGPT, this close

    Supabase – The best default choice for most new apps: real Postgres under the hood (so no lock-in into a proprietary DB), built-in auth/storage/realtime/edge functions, pgvector for AI features, and a genuinely generous free tier that scales into a real production-grade Pro plan.

    Claude, this close
    Gemini#1PPLX#1compare head-to-head
  2. #2

    Firebase

    No change from the last close

    Firebase ranks #2 on consensus with a score of 43, scoring best on ChatGPT (#1).

    Firebase — Choose it first for consumer mobile apps that need excellent offline behavior and real-time sync, accepting its document-oriented Firestore model and deeper Google-platform lock-in.

    ChatGPT, this close

    Firebase – Still the strongest pick specifically for mobile-first apps deep in the Google ecosystem; its iOS/Android/Flutter SDKs, Firestore realtime listeners, and Gemini/AI Logic integration are the most polished in the category, even though Firestore's NoSQL model and pricing can bite at scale.

    Claude, this close
    Gemini#2PPLX#2compare head-to-head
  3. #3

    AWS Amplify

    New entry at the last close

    AWS Amplify ranks #3 on consensus with a score of 29, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #6 on Gemini, a spread of 5.

    It entered the ranking at the latest close. A new name in the models' answers.

    AWS Amplify (Gen 2) — A strong pick when you want a frontend-friendly full-stack workflow but know you will need the reach of AWS services, since it defines auth, data, storage, and functions in TypeScript and is built on AWS CDK.

    ChatGPT, this close

    AWS Amplify – Makes the most sense if your team or company is already AWS-native and wants backend services that plug directly into the broader AWS stack (Cognito, Lambda, DynamoDB) rather than a separate vendor.

    Claude, this close
    Gemini#6PPLX#3compare head-to-head
  4. #4

    Appwrite

    New entry at the last close

    Appwrite ranks #4 on consensus with a score of 25, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #7 on Gemini, a spread of 6.

    It entered the ranking at the latest close. A new name in the models' answers.

    Appwrite — Best for teams that want an all-in-one BaaS with the option to self-host, offering Auth, databases, storage, functions, messaging, realtime, and consistent REST/GraphQL APIs.

    ChatGPT, this close

    Appwrite – The best "Firebase-but-open-source-and-self-hostable" option; great for privacy-sensitive or data-sovereignty-conscious teams willing to trade managed convenience for control.

    Claude, this close
    Gemini#7PPLX#4compare head-to-head
  5. #5

    Render

    New entry at the last close

    Render ranks #5 on consensus with a score of 18, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    It is the most contested name in this category. It carries the widest cross-model disagreement on the board.

    Render — Best for a conventional backend—such as Django, FastAPI, Rails, Laravel, or Express—where you want to own your app code and PostgreSQL schema while avoiding most infrastructure and deployment administration.

    ChatGPT, this close

    Render: As the premier modern alternative to Heroku, Render is highly recommended for its unmatched ease of use when deploying traditional web servers, APIs, and databases via GitHub integration.

    Gemini, this close
  6. #6

    Vercel

    New entry at the last close

    Vercel ranks #6 on consensus with a score of 15, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    Vercel: If your new app is a modern web application built with a framework like Next.js, Vercel is the ultimate platform for effortlessly scaling serverless backend functions alongside your frontend.

    Gemini, this close
  7. #7

    Convex

    New entry at the last close

    Convex ranks #7 on consensus with a score of 13, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    Convex — My favorite for TypeScript teams building collaborative, reactive web apps, because its transactional functions and automatically subscribed queries eliminate a great deal of usual real-time and cache-invalidation work.

    ChatGPT, this close

    Convex – The most elegant option if you're building a TypeScript-native, realtime-heavy web app; its reactive query/mutation model removes a ton of realtime plumbing, but you trade away SQL and get a proprietary document store.

    Claude, this close
  8. #8

    Railway

    New entry at the last close

    Railway ranks #8 on consensus with a score of 13, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    Railway — A great fast-path platform for developer-led MVPs and small production services, since it deploys ordinary containers or repositories alongside databases and scheduled jobs with very little setup.

    ChatGPT, this close

    Railway: Railway offers a phenomenal developer experience for spinning up microservices, databases, and cron jobs almost instantly with transparent usage-based pricing.

    Gemini, this close
  9. #9

    Express

    New entry at the last close

    Express ranks #9 on consensus with a score of 11, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    Node.js + Express — Best general-purpose custom backend if you want flexibility and can handle more of the architecture yourself.

    Perplexity, this close
  10. #10

    Node.js

    New entry at the last close

    Node.js ranks #10 on consensus with a score of 11, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    Node.js + Express — Best general-purpose custom backend if you want flexibility and can handle more of the architecture yourself.

    Perplexity, this close
  11. #11

    Django

    New entry at the last close

    Django ranks #11 on consensus with a score of 10, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    Django — Best for complex or security-sensitive apps where a mature Python framework is a better fit than a BaaS.

    Perplexity, this close
  12. #12

    Encore

    New entry at the last close

    Encore ranks #12 on consensus with a score of 8, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    Encore — Best for teams building distributed systems or AI-heavy backends in TypeScript or Go, especially if you want infra in your own AWS/GCP account.

    Perplexity, this close
  13. #13

    Fly.io

    New entry at the last close

    Fly.io ranks #13 on consensus with a score of 8, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    Fly.io: If your app requires extremely low latency across the globe, Fly.io is the best platform for easily deploying Docker containers to edge servers close to your users.

    Gemini, this close
  14. #14

    DigitalOcean App Platform

    New entry at the last close

    DigitalOcean App Platform ranks #14 on consensus with a score of 7, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    DigitalOcean App Platform: This is a great, no-nonsense Platform-as-a-Service (PaaS) that offers highly predictable pricing and simple deployment for standard backend APIs and background workers.

    Gemini, this close
  15. #15

    PocketBase

    New entry at the last close

    PocketBase ranks #15 on consensus with a score of 7, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    PocketBase – A fantastic lightweight choice for MVPs, prototypes, and indie/solo projects — a single binary gives you DB, auth, storage, and an admin UI instantly, but it's not built for apps that expect to scale past one server.

    Claude, this close

    PocketBase — Best for tiny projects or prototypes where simplicity matters more than long-term platform breadth.

    Perplexity, this close
  16. #16

    Heroku

    New entry at the last close

    Heroku ranks #16 on consensus with a score of 6, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #12 on Perplexity, a spread of 11.

    It entered the ranking at the latest close. A new name in the models' answers.

    Heroku: Although it lost some popularity after removing its free tier, it still deserves a mention for having one of the most mature, battle-tested, and reliable deployment workflows in the industry.

    Gemini, this close
  17. #17

    PostgreSQL-first managed backend

    New entry at the last close

    PostgreSQL-first managed backend ranks #17 on consensus with a score of 6, scoring best on ChatGPT (#1).

    The models disagree about it more than most: #1 on ChatGPT but #11 on Gemini, a spread of 10.

    It entered the ranking at the latest close. A new name in the models' answers.

    PostgreSQL-first managed backend — Best foundational choice when you want the safest, most flexible database core for almost any new app, even if you build the rest of the backend around it.

    Perplexity, this close

Questions people ask.

What is the best backend-as-a-service platforms according to AI?

Supabase holds the consensus #1 at the latest close with a score of 50 out of 100, ahead of Firebase. The models don't fully agree: 1 different brand is crowned #1 across the four models.

Which backend-as-a-service platform does ChatGPT recommend first?

ChatGPT's current #1 for backend-as-a-service platforms is shown in the model column of the full ranking.

Which backend-as-a-service platform does Claude recommend first?

Claude's current #1 for backend-as-a-service platforms is shown in the model column of the full ranking.

How are these rankings measured?

We ask each model the same buying questions on every run (1,230 queries this period), record the full answers, and score each named brand 0-100 by how early and how consistently it appears. Every question runs through the official model APIs, with web search on, not through the consumer chat apps, so nothing is personalized to a user. Each model is scored independently; the consensus blends all 4.

Do the AI models agree with each other?

At the top, yes. Every model crowns the same #1 at the latest close. Further down the board they diverge, which is why each brand carries a spread figure: the gap between its best and worst model rank.

This is the guide. The record has more.

The full ranking shows every model’s column side by side, 12 weeks of movement, and the methodology behind every number.

See the full ranking