Best AI Database Platform 2026: Supabase, PlanetScale, Neon & More

You’re building a new app. You need a database, auth, realtime, file storage, and ideally AI vector search. You’ve got five choices — and picking wrong means rewriting your entire backend six months from now.

The problem is worse than it looks on the surface. Supabase bundles PostgreSQL with pgvector. PlanetScale pioneered database branching on MySQL. Neon is serverless PostgreSQL that scales to zero. Convex has reactive TypeScript with built-in realtime. Firebase has been Google’s BaaS for a decade and now offers PostgreSQL via SQL Connect. Each takes a fundamentally different approach to the same problem.

We spent three weeks building real apps on all five platforms. We tested vector search performance, realtime latency, auth flows, schema migration pain, and what happens when you hit the free tier limits. Here’s the honest truth — and which one you should actually buy.

The Bottom Line Up Front

Supabase Pro ($25/month) is the best all-around AI database platform for most teams. It gives you full PostgreSQL with pgvector vector search, built-in auth, realtime subscriptions, file storage, and edge functions in one dashboard. The free tier is generous enough to build a production prototype, and the open-source nature means zero vendor lock-in. If you want PostgreSQL power with BaaS convenience, this is your pick.

Neon is the best pure serverless PostgreSQL if you already have your backend stack figured out — scale-to-zero means you pay nothing when idle, and the Databricks acquisition has driven prices down 80% on storage.

Firebase remains the most complete BaaS for mobile-first apps, and SQL Connect finally brings PostgreSQL to the platform. But the unpredictable Blaze billing and vendor lock-in are real risks.

Convex is the best choice for TypeScript teams building real-time collaborative apps who want to never write SQL. The reactive document database is genuinely innovative.

PlanetScale pioneered safe schema migrations with database branching, but killing the free tier in 2024 and pivoting toward enterprise makes it hard to recommend for new projects.

Here’s the full comparison:

Platform	Database Engine	Free Tier	Starting Paid	Best For	AI Features
Supabase	PostgreSQL 15+	$0 (500 MB DB, 50K MAU, 5 GB egress)	$25/mo Pro	AI apps needing PostgreSQL + pgvector + auth in one	pgvector, HNSW/IVFFlat, OpenAI integration
PlanetScale	MySQL 8.0 (Vitess) + PG 15+	No free tier	$39/mo Scaler	Safe schema migrations at MySQL scale	None native — bring your own
Neon	PostgreSQL 15/16/17 (serverless)	$0 (100 CU-hours, 0.5 GB)	Pay-as-you-go (~$0.106/CU-hr)	Serverless PG + pgvector for AI on Vercel/Next.js	pgvector, HNSW/IVFFlat, Databricks AI roadmap
Convex	Custom reactive document store	$0 (1M calls, 0.5 GB DB)	$25/dev/mo	Real-time TypeScript apps with reactive data	Built-in vector search, text search
Firebase	Firestore (NoSQL) + Cloud SQL PG	$0 Spark (1 GB Firestore, 50K reads/day)	Pay-as-you-go Blaze	Mobile-first apps needing auth, analytics, push	AI Logic, Gemini integration, hybrid inference

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Supabase: Best All-Around AI Backend (Our Winner)

Supabase is the open-source Firebase alternative that grew up fast. By June 2026, it’s the most complete PostgreSQL-based BaaS on the market. The killer combo: full PostgreSQL with pgvector for vector search, all in a dashboard that generates REST and GraphQL APIs automatically from your schema.

What we liked:

• Full PostgreSQL power. Joins, indexes, views, stored procedures, extensions — you get the entire PostgreSQL 15+ feature set. No NoSQL limitations, no document store gotchas. If you know SQL, you know Supabase.
• pgvector included free on all plans. No separate vector database needed. You can store embeddings alongside relational data and query them with SQL. For AI apps doing semantic search, RAG, or recommendations, this eliminates an entire infrastructure category.
• Generous free tier. 500 MB database, 50,000 monthly active users, 5 GB egress, 200 realtime connections, and 1 GB file storage — all at $0. For prototyping and MVPs, it’s hard to beat.
• Auto-generated APIs. Create a table and Supabase instantly gives you REST and GraphQL endpoints. Row-Level Security (RLS) policies control access at the database level. The boilerplate savings are enormous.
• Open source and self-hostable. No vendor lock-in. If Supabase raises prices or changes direction, you can self-host the entire stack. That’s a rare guarantee in the BaaS world.

What we didn’t:

• Free projects pause after 1 week of inactivity. This is brutal for hobby projects or apps with intermittent traffic. You’ll come back to a paused database and wait 30 seconds for it to resume.
• Pricing jumps from $25 to $599/month. The Pro plan is reasonable at $25/month, but the Team plan at $599/month is a 24x jump with no mid-tier option. Growing teams that need SOC 2 or backup retention get whiplash.
• WAL-based realtime can be inconsistent. Supabase’s realtime subscriptions use PostgreSQL’s WAL (Write-Ahead Log), which means changes are streamed asynchronously. You can get inconsistent state if you’re reading the database immediately after a subscription event.
• Edge Functions have cold starts. The Deno-based Edge Functions warm up slower than V8 isolates. For latency-sensitive applications, this matters.

“Supabase gives you everything Firebase promised but with real SQL. The pgvector bundling is what finally makes it the default choice for AI apps.” — Our testing team

The verdict: Supabase Pro at $25/month is the best value in this comparison. You get PostgreSQL, pgvector, auth, realtime, storage, and edge functions in one platform. For AI apps, the pgvector integration alone justifies the choice. The only reason not to pick Supabase is if you need the Team tier’s compliance features but can’t stomach the price jump.

TRY SUPABASE

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Neon: Best Pure Serverless PostgreSQL

Neon takes a different approach: instead of being a BaaS, it’s a serverless PostgreSQL database with scale-to-zero, instant branching, and pgvector. The Databricks acquisition in May 2025 for ~$1B signaled deep AI/database convergence, and the price cuts since then have been dramatic — storage dropped from $1.75 to $0.35/GB-month.

What we liked:

• True scale-to-zero. Your database suspends after 5 minutes of inactivity. While suspended, you pay nothing for compute. For low-traffic apps, dev environments, and side projects, this is the most cost-effective option.
• Instant database branching. Copy-on-write branches at $0 cost (compared to Supabase’s $0.01344/hour per branch). Create a branch for every PR, test your schema changes, and delete it. CI/CD integration is seamless.
• Full PostgreSQL compatibility. pgvector, PostGIS, TimescaleDB, and dozens of other extensions work out of the box. You’re not getting a limited “serverless” Postgres — you’re getting the real thing.
• Serverless driver for edge environments. The Neon serverless driver works with Vercel Edge Functions, Cloudflare Workers, and other edge runtimes. For Next.js apps deployed on Vercel, this is the database that Just Works.
• Dramatic 2025 price cuts. Storage down 80%, compute down 15-25% across all tiers. The Databricks acquisition is already paying off for customers.

What we didn’t:

• It’s just a database. No auth, no file storage, no realtime subscriptions, no edge functions. You need to assemble your own backend stack around it. For teams that want an all-in-one solution, Neon feels incomplete.
• Free tier storage is tiny. 0.5 GB is stingy compared to Supabase’s 500 MB database plus 1 GB file storage. You’ll hit the limit quickly if you’re storing embeddings.
• Cold starts from scale-to-zero. The 5-minute suspend timeout means your first query after idle time takes 300-500ms while the database wakes up. For user-facing apps, this is noticeable.
• Databricks acquisition risk. While the acquisition has driven price cuts, it also raises questions about long-term independence. Databricks could change pricing or direction at any point.

The verdict: Neon is the best pure serverless PostgreSQL in 2026, period. If you already have your auth, storage, and edge functions figured out (or you’re using a framework like Next.js that handles these), Neon gives you the most cost-effective, scalable PostgreSQL with pgvector. For AI apps on Vercel, it’s the database to beat.

TRY NEON

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Convex: Best Reactive Backend for TypeScript Teams

Convex is the most innovative platform in this comparison. Instead of SQL or a traditional document store, it uses a reactive TypeScript-native database where every query function is automatically a live subscription. You write queries and mutations in TypeScript, and the UI updates in real time — no WebSocket setup, no manual subscriptions.

What we liked:

• Reactive by default. Every query is a live subscription with consistency guarantees. When the underlying data changes, all subscribed UIs update automatically. For collaborative apps (whiteboards, docs, multiplayer), this is transformative.
• End-to-end TypeScript. Your frontend, backend, and database types are always in sync. No SQL, no ORM, no schema migrations — just TypeScript functions that the Convex runtime compiles into efficient database operations.
• Built-in scheduling and cron. Need to run a background job every hour? Convex has built-in scheduling. No separate queue service, no cron triggers, no lambda scheduler. It’s all in the platform.
• ACID transactions with serializable isolation. Strong consistency is the default, not an option. For apps that need transactional guarantees, Convex delivers.
• Built-in vector search. No separate vector database needed. Convex’s native vector search works across all plans.

What we didn’t:

• No SQL. The custom document store means you give up joins, views, aggregations, and the entire PostgreSQL extension ecosystem. If you need complex reporting queries or ad-hoc analysis, Convex is the wrong choice.
• 512 MB memory limit on functions. This is restrictive for data-heavy operations like bulk embedding generation or large file processing.
• TypeScript-only. No Python, Go, Rust, or any other language support. Your entire backend must be TypeScript.
• No official self-hosting. Despite open-sourcing the backend in February 2025, you can’t actually self-host it. For teams with data sovereignty requirements, this is a blocker.
• Smaller ecosystem. Compared to Firebase or Supabase, Convex has fewer third-party integrations, less community content, and fewer managed service options.

The verdict: Convex is the best choice for TypeScript teams building real-time collaborative apps who want to never think about infrastructure. The reactive database model is genuinely innovative and delivers a developer experience that nothing else matches. But the lack of SQL and self-hosting makes it a tough sell for teams that need PostgreSQL compatibility or data sovereignty.

TRY CONVEX

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Firebase: Most Complete BaaS (With New PostgreSQL Options)

Firebase has been Google’s app development platform for over a decade. It offers the most comprehensive feature set — auth, Firestore (NoSQL), Cloud Functions, Cloud Storage, Hosting, Analytics, Crashlytics, Performance Monitoring, and Cloud Messaging — all integrated. The 2026 addition of Firebase SQL Connect (formerly Data Connect) finally brings managed PostgreSQL with realtime sync and offline cache.

What we liked:

• Most mature and comprehensive BaaS. No other platform matches Firebase’s breadth: auth with 10+ OAuth providers, Firestore with realtime listeners and offline support, Cloud Functions with Node.js/Python/Go/Java, Cloud Storage with security rules, and built-in analytics and crash reporting.
• Firebase SQL Connect is a game-changer. Finally, managed PostgreSQL on Firebase with realtime sync, offline cache, and native SQL. It evolved from Data Connect and went GA at Cloud Next 2026. You can now use Firestore for realtime data and PostgreSQL for relational queries — both in the same Firebase project.
• AI Logic and AI Studio integration. Firebase AI Logic provides auto function calling, JSON schema mapping, and hybrid inference (on-device + cloud). AI Studio lets you build full-stack apps via natural language prompts. For adding AI features to your app, Firebase is the easiest path.
• Generous Spark free tier. 1 GiB Firestore storage, 50K reads/20K writes per day, 2M Cloud Functions invocations, 5 GB Cloud Storage, 10 GB Hosting — all at $0 with no credit card required.
• $300 free credits on Blaze plan. Google Cloud’s free credits give you meaningful runway to test production-scale workloads.

What we didn’t:

• No hard spend cap on Blaze. This is the #1 Firebase complaint for a reason. Read amplification from realtime listeners, AI processing costs, and retries can generate surprise bills. Firebase does not offer a hard cap — you must set your own budget alerts.
• Firestore’s NoSQL model requires careful upfront design. Denormalization, composite indexes, and data modeling decisions made early are painful to change later. If you get the schema wrong, migrating is expensive.
• Vendor lock-in is baked in. Once you’re deep in Firebase — using Firestore, Auth, Functions, and Cloud Messaging — migrating off is a multi-month project. The lock-in is real and intentional.
• SQL Connect is still maturing. Custom resolvers are experimental, full-text search is in preview, and the PostgreSQL offering doesn’t yet match the maturity of Firestore. It’s promising but not battle-tested.
• Organization fragmentation. Auth and Functions are migrating to Google Cloud, creating confusion about where to manage things.

The verdict: Firebase remains the most complete BaaS platform, and SQL Connect finally addresses the #1 complaint (no relational database). The AI integration is best-in-class. But the unpredictable Blaze billing and vendor lock-in mean it’s best for teams committed to Google Cloud who can manage costs proactively. For new projects, Supabase offers a comparable feature set with better pricing and no lock-in.

TRY FIREBASE

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PlanetScale: Best for Safe MySQL Migrations (But Hard to Recommend)

PlanetScale pioneered Git-like database branching — create a branch, make schema changes, deploy via a PR-like review process. Built on Vitess (YouTube’s MySQL sharding layer), it’s the safest way to manage MySQL schema migrations at scale. In September 2025, PlanetScale also launched a PostgreSQL product, though it still feels like an afterthought.

What we liked:

• Database branching is genuinely brilliant. Creating a branch, making schema changes, and deploying via a deploy request with diff review is the safest schema migration workflow we’ve seen. For teams that have been burned by MySQL locks in production, this is transformative.
• Non-blocking schema changes. PlanetScale’s schema change system never locks your production tables. Migrations run safely in the background without impacting application performance.
• Built on Vitess. YouTube’s MySQL sharding layer powers horizontal scaling that’s proven at massive scale. If you need to scale MySQL to hundreds of terabytes, PlanetScale can handle it.
• Read replicas across regions. For global applications, PlanetScale offers read replicas in additional regions for low-latency queries.
• Now offers both MySQL and PostgreSQL. The PostgreSQL product is GA since September 2025, giving you a choice of database engines.

What we didn’t:

• No free tier since April 2024. Killing the free tier was a brutal move that alienated the developer community. The cheapest plan is $39/month — hard to recommend for side projects or early-stage startups.
• The enterprise pivot is real. PlanetScale has clearly shifted focus toward enterprise customers. The self-serve developer experience has degraded, and the community feels abandoned.
• Not truly serverless. You still size your database (PS-1 through PS-16 tiers). It’s managed, not serverless. Neon and Supabase offer more flexible scaling.
• No native AI features. No pgvector, no vector search, no built-in AI integration. You’re getting a standard MySQL/PostgreSQL feature set. For AI apps, you need external tooling.
• PostgreSQL feels like an afterthought. The core platform is MySQL + Vitess. The PostgreSQL product exists but lacks the branching workflow maturity and ecosystem depth of the MySQL offering.

The verdict: PlanetScale’s branching workflow is the gold standard for safe schema migrations, but the free tier removal and enterprise pivot make it hard to recommend for anyone but established teams on MySQL. If you’re starting fresh, Neon or Supabase offer better developer experience at lower cost. If you’re already running PlanetScale in production, the branching workflow is worth staying for — but we wouldn’t choose it for a new project in 2026.

TRY PLANETSCALE

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Pricing Breakdown

Understanding the real cost requires looking beyond the sticker price. Here’s what each platform actually costs at different scales:

Platform	Free Tier	Entry Paid	Mid-Scale (10K users)	Large-Scale (100K users)	Pricing Model
Supabase	$0 (500 MB DB, 50K MAU)	$25/mo Pro (8 GB DB, 100K MAU)	$25/mo Pro	$599/mo Team (or self-hosted)	Fixed plan + overage
PlanetScale	None	$39/mo Scaler (10 GB, 100B reads)	$39/mo Scaler	$50/mo Metal + read replicas	Fixed plan + compute
Neon	$0 (100 CU-hrs, 0.5 GB)	~$10-20/mo pay-as-you-go	~$50-100/mo	~$200-500/mo	Compute hours + storage
Convex	$0 (1M calls, 0.5 GB DB)	$25/dev/mo (25M calls, 50 GB DB)	$25-75/mo (1-3 devs)	$2,500/mo Business	Per-developer + overage
Firebase	$0 Spark (1 GB Firestore)	Pay-as-you-go Blaze	~$10-50/mo (variable)	~$100-500/mo (variable)	Consumption-based (no hard cap)

Our take on pricing: For most teams, Supabase Pro at $25/month offers the best value — you get PostgreSQL, pgvector, auth, realtime, storage, and edge functions for a single fixed price. Neon’s pay-as-you-go model is cheaper for low-traffic apps (you pay nothing when idle) but can be unpredictable at scale. Firebase’s consumption-based pricing is the most flexible but carries the risk of surprise bills. Convex’s per-developer pricing is reasonable for small teams but scales poorly past 5 developers. PlanetScale’s $39/month minimum with no free tier is the most expensive entry point.

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Head-to-Head: Key Decision Factors

Supabase vs Firebase (Open Source BaaS vs Google BaaS)

This is the most common comparison. Supabase gives you full PostgreSQL with pgvector, open-source licensing, and better pricing. Firebase gives you a more mature ecosystem, better mobile SDKs, and the Google Cloud integration. For new projects in 2026, we recommend Supabase — the PostgreSQL advantage and no vendor lock-in outweigh Firebase’s ecosystem maturity.

Supabase vs Neon (BaaS with pgvector vs Pure Serverless PG)

Supabase is the better choice if you want an all-in-one backend with auth, storage, and edge functions. Neon is the better choice if you already have your backend stack figured out and just need cost-effective serverless PostgreSQL with pgvector. If you’re building on Vercel/Next.js, Neon’s serverless driver gives it an edge.

Convex vs Firebase (Reactive TypeScript vs Traditional BaaS)

Convex wins on developer experience if you’re a TypeScript team building real-time apps. Firebase wins on ecosystem breadth and mobile support. Convex’s reactive architecture is genuinely innovative, but Firebase’s maturity and feature set are hard to beat for traditional mobile apps.

PlanetScale vs Neon (Safe Migrations vs Serverless PG)

PlanetScale’s branching workflow is superior for schema migration safety. But Neon offers better pricing, true serverless scaling, pgvector for AI, and a more modern developer experience. For new projects, we’d choose Neon. For existing MySQL workloads with complex migration needs, PlanetScale still has value.

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FAQ

What’s the difference between a BaaS and a serverless database?

A BaaS (Backend-as-a-Service) like Supabase or Firebase bundles database, auth, storage, and functions into one platform. A serverless database like Neon is just the database — you bring your own auth, storage, and compute. BaaS platforms are better for rapid prototyping and all-in-one solutions. Serverless databases are better if you already have a backend stack and just need cost-effective PostgreSQL.

Which platform has the best AI/vector search support?

Supabase has the best overall AI support among BaaS platforms — pgvector is included free on all plans with HNSW and IVFFlat indexes, plus built-in integrations with OpenAI, Hugging Face, and LangChain. Neon is the best pure serverless PostgreSQL option for AI (pgvector with Databricks-backed AI roadmap). Convex has built-in vector search without needing a separate database. Firebase offers AI Logic and Gemini integration but lacks native vector search in Firestore (you need SQL Connect + pgvector).

Can I self-host any of these platforms?

Supabase is fully open source and self-hostable — you can run the entire stack on your own infrastructure. Neon is open source but self-hosting requires significant operational expertise (compute-storage separation is complex). Convex open-sourced its backend in February 2025 but doesn’t officially support self-hosting. Firebase and PlanetScale are proprietary SaaS — no self-hosting option exists.

Which platform is best for mobile apps?

Firebase remains the best choice for mobile apps (iOS/Android/Flutter) thanks to its mature SDKs, offline support, push notifications, and analytics. Supabase has good Flutter and React Native support but lacks Firebase’s mobile-specific features like Cloud Messaging and Crashlytics.

How do these platforms handle realtime data?

Supabase uses PostgreSQL WAL-based subscriptions (WebSocket, good but can be inconsistent). Convex has reactive queries by default with consistency guarantees (best realtime DX in this comparison). Firebase uses Firestore’s realtime listeners (production-proven at massive scale, works offline). Neon and PlanetScale don’t have built-in realtime — you need a separate solution like Ably or Pusher.

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Bottom Line: Which AI Database Platform Should You Buy in 2026?

There’s a clear winner for each use case, and one overall recommendation.

If you want the best all-around AI backend with PostgreSQL and no vendor lock-in: Get Supabase Pro ($25/month). It’s the most complete PostgreSQL-based BaaS with pgvector, auth, realtime, storage, and edge functions. The open-source nature means you can always self-host if needed. This is our pick for most teams.

GET SUPABASE PRO

If you’re on Vercel/Next.js and just need serverless PostgreSQL with pgvector: Get Neon (pay-as-you-go, ~$10-20/month at low traffic). It’s the best pure serverless PostgreSQL with scale-to-zero economics and the best serverless driver for edge environments.

GET NEON

If you’re building a real-time TypeScript app and want to never write SQL: Get Convex ($25/developer/month). The reactive database model is genuinely innovative and delivers the best developer experience for TypeScript teams building collaborative apps.

GET CONVEX

If you’re building a mobile app and need Firebase’s ecosystem: Get Firebase ($0 Spark tier, then Blaze pay-as-you-go). The mature SDKs, push notifications, analytics, and new SQL Connect make it the most complete mobile BaaS — just set budget alerts to avoid surprise bills.

GET FIREBASE

If you’re running MySQL in production and need safe schema migrations: Get PlanetScale ($39/month Scaler). The branching workflow is unmatched for migration safety. But for new projects, we’d choose Neon or Supabase instead.

GET PLANETSCALE

Supabase Pro is the winner for most people. It gives you PostgreSQL power, pgvector for AI, auth, realtime, and storage at a reasonable $25/month with no lock-in. The free tier lets you prototype for months before paying anything. For AI-powered apps in 2026, it’s the database platform that checks every box.

TRY SUPABASE FREE

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Disclosure: Some links in this post are affiliate links. We may earn a commission if you purchase through these links, at no extra cost to you. All opinions are our own based on three weeks of hands-on testing across all five platforms.