--- source_url: "https://apiscout.dev/guides/best-serverless-database-apis-2026" title: "Best Serverless Database APIs 2026 | APIScout" mirrored_at: 2026-08-30T03:01:58.200Z host: apiscout.dev cited_in_42a: true mirror_canonical: "https://index.42a.ai/apiscout.dev/guides/best-serverless-database-apis-2026" --- > **Original source:** https://apiscout.dev/guides/best-serverless-database-apis-2026 ## [The Four Flavors of Serverless Databases](#the-four-flavors-of-serverless-databases) Every modern web application needs a database. In 2026, the question is no longer "SQL or NoSQL?" — it's "which serverless database matches my deployment model, stack requirements, and scaling expectations?" Four platforms have emerged as the clear leaders for different use cases: Neon (serverless Postgres with git-like branching), PlanetScale (managed Postgres plus MySQL-compatible Vitess), Turso (SQLite at the edge and everywhere), and Supabase (Postgres bundled with an entire backend platform). Getting this decision right is a 2-year commitment. Getting it wrong means a painful migration at the worst possible time. ## [TL;DR](#tldr) Neon is the best serverless Postgres for development workflows — instant branching, scale-to-zero, and affordable after Databricks-driven price cuts. PlanetScale now serves two distinct needs: low-cost managed Postgres and MySQL-compatible Vitess for horizontal scale, branching, and online schema changes. Turso is the edge-native choice for SQLite workloads, AI applications requiring embedded vector search, and multi-tenant architectures needing thousands of databases. Supabase is the full-stack choice when you want auth, storage, real-time, and Postgres in one platform. ## [Key Takeaways](#key-takeaways) - **Neon dropped prices 15-25%** after Databricks acquisition — Launch plan starts at $19/month with 300 compute hours and 10GB storage. - **Neon database branching** creates instant copy-on-write database branches for development and testing — like git branches for your data. - **PlanetScale offers both Postgres and MySQL-compatible Vitess.** It has no free plan, but single-node Postgres starts at $5/month; production-grade and Vitess configurations cost more. - **Turso's free tier includes 5GB storage, 100 databases, and 500M row reads/month** — the most generous free tier in the market. - **Turso's embedded replicas** let you run a Turso database inside your application process with automatic sync to the remote database — unique capability for low-latency reads. - **Supabase bundles Postgres, auth, storage, real-time, and edge functions** in one platform at $25/month for Pro — the widest feature surface. - **Database-engine compatibility matters:** Neon and Supabase are Postgres, Turso is SQLite/libSQL, and PlanetScale lets you choose Postgres or MySQL-compatible Vitess. ## [Pricing Comparison](#pricing-comparison) Platform Free Tier Paid Starting Neon 10 projects, 0.5GB/project, 100 compute-hours $19/month (Launch) Turso 3 databases, 1GB, 1B row reads $4.99/month (Developer) Supabase 2 projects, 500MB DB, 1GB storage $25/month (Pro) PlanetScale None $5/month (single-node Postgres) Neon Scale — $69/month Supabase Team — $599/month ## [Neon](#neon) **Best for: Serverless Postgres, development workflows, scale-to-zero, CI/CD database branching** Neon separated storage and compute to enable two capabilities no other managed Postgres offers: true scale-to-zero (the database suspends when idle, resumes in milliseconds on connection) and instant database branching. ### [Architecture](#architecture) Neon's compute layer runs PostgreSQL, while the storage layer is purpose-built for cloud-native Postgres. This separation enables: - Compute scales from 0 to 16 vCPUs automatically - Storage is shared via copy-on-write between branches - Scale-to-zero eliminates idle database costs ### [Pricing (Post-Databricks)](#pricing-post-databricks) After the Databricks acquisition in 2025, compute costs dropped 15-25%: Plan Monthly Cost Compute Hours Storage Branches Free $0 100 CU-hours 0.5 GB/project 10 Launch $19 300 CU-hours 10 GB 10 per project Scale $69 750 CU-hours 50 GB 25 per project Business $700 1,000 CU-hours 500 GB Unlimited Enterprise Custom Custom Custom Custom Storage: $0.35/GB-month after included amount. ### [Database Branching — The Killer Feature](#database-branching--the-killer-feature) Neon branching works like git branching for your database. Create a branch, test schema changes or data migrations, verify everything works, then merge. No production downtime. No test data polluting production. ``` # Create a development branch from production neon branches create --name feature/new-payment-schema # Get connection string for the branch neon connection-string feature/new-payment-schema # Run migrations on the branch DATABASE_URL=$(neon connection-string feature/new-payment-schema) npm run migrate # Test thoroughly, then... the branch diverges from main only on writes # Share storage with parent until data diverges ``` **In CI/CD:** ``` # GitHub Actions — unique database per PR - name: Create Neon Branch uses: neondatabase/create-branch-action@v5 id: create-branch with: project_id: ${{ env.NEON_PROJECT_ID }} branch_name: preview/pr-${{ github.event.pull_request.number }} - name: Run migrations run: npm run migrate env: DATABASE_URL: ${{ steps.create-branch.outputs.db_url }} # Branches are automatically cleaned up after PR close ``` This pattern — a fresh database branch per pull request — is one of the most impactful developer workflow improvements in the serverless database space. ### [Postgres Compatibility](#postgres-compatibility) Neon is full PostgreSQL. All extensions, stored procedures, triggers, and Postgres-specific features work. Connect with any Postgres client: ``` import { neon } from "@neondatabase/serverless"; const sql = neon(process.env.DATABASE_URL!); // Full Postgres query support const users = await sql` SELECT u.*, COUNT(o.id) as order_count FROM users u LEFT JOIN orders o ON u.id = o.user_id WHERE u.created_at > NOW() - INTERVAL '30 days' GROUP BY u.id ORDER BY order_count DESC LIMIT 10 `; ``` ### [When to choose Neon](#when-to-choose-neon) Next.js applications with Vercel, Cloudflare Workers, or any serverless platform; CI/CD pipelines that need database branching; applications with spiky traffic where scale-to-zero reduces costs; any team that wants full Postgres compatibility with serverless economics. ## [PlanetScale](#planetscale) **Best for: Managed Postgres or MySQL-compatible Vitess at scale** PlanetScale offers two database engines on its self-serve Base plan: Postgres and Vitess, a horizontally sharded MySQL-compatible system based on the technology that powers YouTube's database layer. The Postgres product targets teams that want managed Postgres with connection pooling and traffic controls; Vitess targets workloads that need horizontal sharding, database branching, and online schema changes. The tradeoff is that PlanetScale has no free plan. The entry point is now much lower than older summaries imply, however: single-node Postgres starts at $5/month, while highly available Postgres and Vitess clusters cost more. ### [Pricing](#pricing) Configuration Starting cost Notes Postgres single node $5/month 512MB, non-HA; intended for development or cost-sensitive, non-critical workloads Postgres highly available $15/month Entry HA configuration; pricing varies by region and configuration Vitess Base Configuration-based MySQL-compatible clusters; pricing varies by cluster size and region Enterprise Custom Enhanced support and deployment options for either engine Note: PlanetScale has no free tier. Confirm the engine, availability model, region, storage, and current calculator total before committing; each Postgres branch runs on its own billed cluster, and Vitess pricing follows its selected cluster configuration. ### [The Vitess Advantage](#the-vitess-advantage) PlanetScale's horizontal sharding scales data across multiple MySQL nodes transparently: ``` -- PlanetScale automatically shards by primary key -- No application changes needed as data grows SELECT * FROM orders WHERE user_id = 12345; -- Scatter queries work, but are more expensive SELECT COUNT(*) FROM orders; -- Hits all shards ``` For applications that will genuinely reach hundreds of millions of rows with high read/write throughput, PlanetScale's infrastructure is purpose-built for this scale. ### [Zero-Downtime Schema Changes (Branch + Merge)](#zero-downtime-schema-changes-branch--merge) Like Neon, PlanetScale offers database branching — but for MySQL/Vitess: ``` # Create feature branch pscale branch create mydb feature/add-columns # Apply schema changes (no blocking locks) pscale deploy-request create mydb feature/add-columns # Review and approve the deploy request pscale deploy-request deploy mydb [deploy-request-number] ``` Schema changes in PlanetScale use online DDL — table modifications happen without locking the table, eliminating production downtime for schema changes. ### [Engine and compatibility constraints](#engine-and-compatibility-constraints) PlanetScale's two engines are not interchangeable. Vitess is MySQL-compatible and retains the MySQL-specific syntax and operational tradeoffs described above. PlanetScale Postgres uses the Postgres ecosystem and PgBouncer-based connection pooling, but it does not currently expose every Vitess feature; for example, the plan documentation lists horizontal sharding for Postgres as coming soon and Data Branching as unavailable. Choose the engine before evaluating migrations, drivers, or schema tooling. ### [When to choose PlanetScale](#when-to-choose-planetscale) Choose PlanetScale Postgres when its managed infrastructure, traffic controls, and low-cost single-node entry fit your workload. Choose PlanetScale Vitess for teams with MySQL expertise that need horizontal sharding, database branching, or online schema changes without operating Vitess directly. ## [Turso](#turso) **Best for: SQLite at the edge, multi-tenant applications, AI/vector workloads, embedded databases** Turso takes SQLite global via libSQL — an open-source fork of SQLite written in Rust, adding distributed capabilities, vector search, and encryption while maintaining full SQLite compatibility. The core insight: SQLite is the most deployed database in the world (runs on billions of devices), but it's traditionally limited to single-file, single-process use. Turso removes that limitation. ### [Pricing (2026)](#pricing-2026) Plan Monthly Cost Databases Storage Row Reads Free $0 3 1GB 1B/month Developer $4.99 500 (monthly active) 9GB 1B/month Scaler $24.92 2,500 (monthly active) 24GB Scaled Enterprise Custom Unlimited Custom Custom **The free tier is remarkable:** 5GB storage, 100 databases (some sources list 3 active, 100 total), and 500M row reads/month. ### [Embedded Replicas — The Unique Capability](#embedded-replicas--the-unique-capability) Turso's embedded replicas are unlike anything available in traditional serverless databases: ``` import { createClient } from "@libsql/client"; // Embedded replica: database runs IN your application process // Reads are local (microseconds), writes sync to remote Turso const db = createClient({ url: "file:local.db", // Local SQLite file syncUrl: process.env.TURSO_URL, // Remote Turso database authToken: process.env.TURSO_TOKEN, syncInterval: 60, // Sync every 60 seconds }); // Reads from local replica — sub-millisecond latency const users = await db.execute("SELECT * FROM users LIMIT 100"); // Writes go to remote, propagate to all replicas await db.execute("INSERT INTO users VALUES (?, ?)", ["Alice", "alice@example.com"]); ``` Use cases: - Applications running in VMs or containers that want local database performance - Mobile sync (device SQLite ↔ Turso cloud) - Edge applications with local read replicas ### [Multi-Tenant Architecture](#multi-tenant-architecture) Turso's database-per-tenant model is its standout architectural pattern: ``` // Create a unique database for each tenant const tursoClient = createTursoClient(process.env.TURSO_API_TOKEN); async function createTenantDatabase(tenantId: string) { const db = await tursoClient.databases.create({ name: `tenant-${tenantId}`, location: "ams", // Amsterdam edge location seed: { type: "database", name: "tenant-template", // Seed from schema template }, }); return db.hostname; } // Each tenant gets their own isolated database // No shared tables, no query isolation concerns ``` At $4.99/month for 500 active databases, Turso enables multi-tenant architectures where data isolation and performance per tenant are paramount. ### [Native Vector Search](#native-vector-search) Turso includes vector search in libSQL without extensions: ``` -- Create a table with vector column CREATE TABLE documents ( id INTEGER PRIMARY KEY, content TEXT, embedding F32_BLOB(1536) -- 1536-dimension embedding ); -- Index for similarity search CREATE INDEX documents_embedding_idx ON documents (libsql_vector_idx(embedding)); -- Semantic search SELECT id, content, vector_distance_cos(embedding, ?) AS distance FROM documents ORDER BY distance LIMIT 10; ``` This collocates your data and vectors in the same database — no separate vector database required for simpler applications. ### [When to choose Turso](#when-to-choose-turso) Multi-tenant SaaS applications, edge computing with Cloudflare Workers, applications needing embedded replicas, AI/RAG applications wanting collocated vector search, or any scenario where thousands of SQLite databases makes sense. ## [Supabase](#supabase) **Best for: Full-stack applications, teams wanting one platform, Postgres + auth + storage + real-time** Supabase bundles a complete backend platform on top of Postgres: authentication, storage, real-time subscriptions, edge functions, and auto-generated REST and GraphQL APIs. For teams that want to avoid integrating multiple services, Supabase is the most comprehensive option. ### [Pricing](#pricing-1) Plan Cost Storage Database Projects Free $0 1GB 500MB 2 Pro $25/month 8GB 8GB Unlimited Team $599/month 100GB 8GB+ Multiple Enterprise Custom Custom Custom Custom ### [The Full-Stack Platform](#the-full-stack-platform) ``` import { createClient } from "@supabase/supabase-js"; const supabase = createClient( process.env.NEXT_PUBLIC_SUPABASE_URL!, process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY! ); // Authentication — built in, no separate service const { user, error } = await supabase.auth.signInWithOAuth({ provider: "github", }); // Database with row-level security const { data, error } = await supabase .from("posts") .select("*") .eq("user_id", user.id); // File storage const { data } = await supabase.storage .from("avatars") .upload("public/avatar.png", avatarFile); // Real-time subscriptions supabase .channel("posts") .on("postgres_changes", { event: "INSERT", schema: "public", table: "posts" }, handleNew) .subscribe(); ``` This level of integration in a single SDK eliminates the need for separate auth (Auth0/Clerk), file storage (S3/R2), and real-time (Ably/Pusher) services — at $25/month for Pro. ### [Postgres Compatibility](#postgres-compatibility-1) Supabase is standard Postgres under the hood. Connect with any Postgres client, use any ORM (Prisma, Drizzle, Sequelize), and access all Postgres extensions (PostGIS, pgvector, etc.). ``` -- pgvector for vector search CREATE EXTENSION vector; CREATE TABLE embeddings (id BIGSERIAL PRIMARY KEY, content TEXT, embedding vector(1536)); -- Match documents by embedding SELECT content, 1 - (embedding <=> $1) AS similarity FROM embeddings ORDER BY embedding <=> $1 LIMIT 10; ``` ### [Supabase vs Neon](#supabase-vs-neon) Both are serverless Postgres. The key difference: - **Neon** is Postgres-only, optimized for scale-to-zero and database branching - **Supabase** is Postgres plus an entire backend platform (auth, storage, real-time) If you need the full platform, Supabase. If you only need Postgres, Neon is often simpler and has better branching. ### [When to choose Supabase](#when-to-choose-supabase) Full-stack applications needing auth + database + storage in one platform, teams that want to minimize service integrations, rapid prototyping of complete applications, applications with real-time requirements. ## [Decision Framework](#decision-framework) Scenario Recommended Serverless Postgres, scale-to-zero **Neon** Dev workflow with database branching **Neon** Full-stack: auth + DB + storage + real-time **Supabase** MySQL at extreme scale (100M+ rows) **PlanetScale** Low-cost managed Postgres without a free tier **PlanetScale Postgres** Edge/Cloudflare Workers, SQLite **Turso** Multi-tenant: unique database per tenant **Turso** Free tier for side project **Neon** or **Turso** Best free tier for early-stage **Turso** (most generous) No free tier acceptable **PlanetScale** (self-serve Base or Enterprise) ## [Performance Context](#performance-context) In head-to-head latency testing from serverless environments: - **PlanetScale and Neon:** Sub-10ms query latency for standard queries - **Supabase (TCP connection):** Fast connections and queries, slightly more setup for connection pooling - **Turso embedded:** Sub-millisecond local reads (when using embedded replicas) All four are production-capable. Latency differences between Neon, Supabase, and PlanetScale are typically in the 2-15ms range depending on region co-location. ## [Verdict](#verdict) **Neon** is the default recommendation for serverless Postgres in 2026. Post-Databricks pricing, true scale-to-zero, and git-like database branching make it the best developer experience for Postgres. **Supabase** wins when you want a full backend platform — auth, storage, and real-time alongside Postgres, all at $25/month. For building products quickly without managing multiple services, Supabase's integrated platform is hard to beat. **Turso** is the right answer for edge-native applications, multi-tenant architectures with isolated databases per tenant, and AI applications wanting collocated vector search with their data. **PlanetScale** now covers two lanes: managed Postgres starting with a $5/month single-node option, and MySQL-compatible Vitess for teams that genuinely need horizontal scale, database branching, and online schema changes. There is still no free plan, so compare the full production configuration rather than treating $5 as a high-availability production price. One consideration absent from most serverless database comparisons is data egress pricing. All three platforms charge for egress beyond free-tier thresholds, and egress becomes significant at scale for read-heavy workloads serving large payloads. For applications serving large dataset responses, evaluate whether caching at the application layer — Redis, Cloudflare KV, or Upstash — reduces database egress enough to change the total cost calculation. A database that appears cheap per query can become expensive if every query response transfers substantial data to multiple consumers — and egress costs are notoriously easy to overlook until the first unexpectedly high billing cycle arrives. * * * Compare serverless database pricing, features, and API documentation at [APIScout](https://apiscout.dev/) — find the right database platform for your application. _Related: [Best Serverless Function Platforms Compared in 2026](https://apiscout.dev/blog/best-serverless-function-platforms-2026), [Cloudflare Workers AI vs AWS Bedrock vs Azure OpenAI](https://apiscout.dev/blog/cloudflare-workers-ai-vs-aws-bedrock-vs-azure-openai-2026), [Cloudflare Workers vs Vercel Edge vs Lambda@Edge](https://apiscout.dev/blog/cloudflare-workers-vs-vercel-edge-vs-lambda-edge-2026)_