best database alternatives to mongodb in 2025

why look beyond mongodb?

MongoDB popularized the document database model — flexible schemas, horizontal scaling, and a JSON-like query language. But as projects grow, developers often hit friction points: the lack of native ACID transactions across multiple documents, the absence of relational joins, or the operational overhead of managing replica sets and sharding.

If any of that sounds familiar, you're not alone. The good news: there are excellent alternatives that address these pain points while preserving the developer experience you expect. Here's our breakdown.

the picks

1. supabase — the relational powerhouse with real-time superpowers

Best for: Teams moving from NoSQL to a full-featured relational database who still want real-time capabilities.

Supabase is essentially PostgreSQL wrapped in a modern, open-source platform. You get a full SQL database with row-level security, auto-generated REST and GraphQL APIs, and real-time subscriptions — all out of the box.1

What makes it a compelling MongoDB alternative:

• ACID compliance — real transactions, not eventual consistency.
• Relational joins — because sometimes your data is relational.
• Real-time subscriptions — listen to database changes over WebSocket, similar to MongoDB change streams but simpler to set up.
• Built-in auth and storage — reduces the number of services you need.

The trade-off: you're committing to a relational model. If your data is deeply hierarchical and you need schema-less flexibility, Supabase might feel restrictive.

→ check supabase pricing and plans

2. firebase firestore — the direct nosql competitor

Best for: Rapid prototyping, mobile-first apps, and teams already in the Google Cloud ecosystem.

Firestore is the closest direct competitor to MongoDB in the NoSQL space. It's a document-oriented, serverless database with real-time synchronization baked in.2

Key advantages over MongoDB:

• Serverless — zero ops. No clusters to manage, no connection pooling to tune.
• Real-time sync — every client gets live updates by default.
• Strong consistency — within a document, reads are strongly consistent.
• Generous free tier — great for prototyping and small apps.

The catch: vendor lock-in is real, and complex queries (joins, aggregations) are limited compared to SQL databases. Firestore also struggles with deeply nested data at scale.

→ explore firebase firestore

3. surrealdb — the multi-model newcomer

Best for: Teams that want document, relational, and graph capabilities in one database without managing multiple systems.

SurrealDB is a cloud-native multi-model database that combines document, relational, and graph paradigms into a single query engine.3

Why it's interesting as a MongoDB alternative:

• Multi-model — store data as documents, run SQL-like queries, traverse graph relationships — all in one database.
• Schema-less or schema-full — you decide per table.
• Real-time subscriptions — built-in, like Supabase and Firestore.
• Single-binary deployment — remarkably simple to get started.

SurrealDB is newer and less battle-tested at massive scale than PostgreSQL or MongoDB. The ecosystem is smaller, and community resources are still growing.

→ learn about surrealdb

4. convex — reactive state for typescript developers

Best for: TypeScript full-stack developers who want a reactive backend without managing a separate database.

Convex takes a different approach: instead of a traditional database you query from your app, it's a reactive backend platform where functions automatically track data dependencies and re-run when data changes.

Why consider it:

• Reactive by default — no need to manually set up subscriptions or polling.
• Type-safe — end-to-end TypeScript from database to client.
• ACID transactions — across any number of documents.
• No schema migrations — the system infers schema from your mutations.

Convex is opinionated. You're buying into a platform, not just a database. Self-hosting isn't an option, and the data model is document-oriented (no SQL joins).

→ check out convex

5. pocketbase — the single-binary backend

Best for: Small-to-medium projects, side projects, and teams that want a self-hosted backend with minimal fuss.

PocketBase is an open-source backend in a single binary: embedded SQLite database, auto-generated REST API, file storage, authentication, and a built-in admin UI.

Why it works as a MongoDB alternative:

• Dead simple — download one binary, run it, you have a backend.
• SQLite under the hood — real SQL, ACID transactions, no separate database server.
• Built-in auth — email/password, OAuth2, and more.
• Admin dashboard — inspect and edit data without writing queries.

PocketBase isn't designed for massive scale or complex multi-region deployments. SQLite has write-concurrency limits, and the ecosystem is young.

→ explore pocketbase

comparison: document vs. relational vs. multi-model

how to choose

• You need relational integrity and real-time: go with Supabase. It's PostgreSQL with superpowers.
• You want serverless NoSQL with minimal ops: Firestore is the path of least resistance.
• You need graph + document + relational in one: SurrealDB is worth a serious look.
• You're building a TypeScript app and want reactivity: Convex will change how you think about backend state.
• You want a self-hosted backend for a small project: PocketBase is absurdly simple.

a note on affiliate links

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