The Best MongoDB Alternatives in 2026
Tolodora Editorial Team
Independent software reviews for founders and small businesses.
Quick answer
The best MongoDB alternatives in 2026 are Supabase, Firebase and PlanetScale. Supabase is our top overall pick, best for teams who want a full backend around a relational database. See the full ranked comparison below.
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MongoDB made flexible, schema-less document storage easy, and it's everywhere. Teams tend to reconsider for two reasons: Atlas (its managed cloud) can get expensive at scale, and plenty of projects realize they'd actually be better served by a relational database — or a different kind of store entirely. Whether you want Postgres with batteries included, a document database done differently, or something serverless, there's a strong MongoDB alternative for you.
Here are six MongoDB alternatives worth a look in 2026, ranked on value, scalability, developer experience and features. A quick orientation: some of these are SQL/Postgres (great if you're rethinking NoSQL), some are document or key-value stores, so match the type to your data. For a deeper look at one of them, see our Supabase alternatives guide. More in dev tools.
Most of these are usage-based or have free tiers that scale into paid plans, so the figures below are starting points — model your real workload before you commit. Ratings are our own editorial calls to help you compare.
| Tool | Starts at | Free plan | Best for |
|---|---|---|---|
| Supabase | Free; from ~$25/mo | Yes (generous) | Teams who want a full backend around a relational database |
| Firebase | Free; usage-based (Blaze) | Yes | Mobile and real-time apps that like the document model |
| PlanetScale | Usage-based | Trial | Teams that need relational data to scale big |
| Neon | Free; from ~$19/mo | Yes | Teams who want cost-efficient, modern Postgres |
| Redis | Free; usage-based cloud | Yes | Teams needing speed: caching, sessions, queues and real-time |
| Couchbase | Free trial (Capella); custom | Trial | Enterprises wanting document data with SQL querying and scale |
| Tool | Value | Support | Ease of use | Features | Overall | Best for |
|---|---|---|---|---|---|---|
| Supabase | 9.0 | 8.0 | 8.0 | 9.0 | 8.5 | Teams who want a full backend around a relational database |
| Firebase | 7.0 | 8.0 | 8.0 | 9.0 | 8.0 | Mobile and real-time apps that like the document model |
| PlanetScale | 7.0 | 8.0 | 8.0 | 9.0 | 8.0 | Teams that need relational data to scale big |
| Neon | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | Teams who want cost-efficient, modern Postgres |
| Redis | 8.0 | 8.0 | 8.0 | 8.0 | 8.0 | Teams needing speed: caching, sessions, queues and real-time |
| Couchbase | 6.0 | 8.0 | 7.0 | 9.0 | 7.5 | Enterprises wanting document data with SQL querying and scale |
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| # | Tool | Best for | Rating |
|---|---|---|---|
| 1 | Supabase | Teams who want a full backend around a relational database | 4.3/5 |
| 2 | Firebase | Mobile and real-time apps that like the document model | 4.0/5 |
| 3 | PlanetScale | Teams that need relational data to scale big | 4.0/5 |
| 4 | Neon | Teams who want cost-efficient, modern Postgres | 4.0/5 |
| 5 | Redis | Teams needing speed: caching, sessions, queues and real-time | 4.0/5 |
| 6 | Couchbase | Enterprises wanting document data with SQL querying and scale | 3.8/5 |
Supabase
- Pricing
- 9.0/10
- Functionality
- 9.0/10
- Ease of use
- 8.0/10
- Support
- 8.0/10
What I like
Postgres with auth, APIs, storage and real-time baked in — open-source and a joy to use.
Best for
Teams who want a full backend around a relational database
Supabase is the alternative a lot of teams move to, especially if they're open to swapping documents for relational data. It's built on PostgreSQL — reliable, powerful, SQL — and wraps it with instant REST and GraphQL-style APIs, authentication, file storage, real-time subscriptions and edge functions, so you get a whole backend, not just a database. It's open-source (self-host if you want), with a generous free tier and paid plans from around $25/month. If your data is more structured than schema-less documents suggested, Supabase's relational foundation plus its developer experience is a genuine upgrade. For teams who want a complete, modern backend around a trustworthy database, it's superb.
Firebase
- Pricing
- 7.0/10
- Functionality
- 9.0/10
- Ease of use
- 8.0/10
- Support
- 8.0/10
What I like
Google's mature, document-based backend with brilliant real-time sync and offline support.
Best for
Mobile and real-time apps that like the document model
If you like MongoDB's document model but want a fully managed, real-time backend, Firebase is the natural pick. Its Firestore database is document-based (so the mental model carries over), and it's exceptional at real-time sync and offline support — which is why it's a staple for mobile apps. On top of the database you get authentication, hosting, cloud functions and analytics, all deeply integrated and backed by Google. The free Spark tier is generous before usage-based Blaze pricing kicks in. It's proprietary (no self-hosting), and querying is less flexible than SQL. But for mobile and real-time apps that want a mature, document-based, fully managed backend, Firebase is the benchmark.
PlanetScale
- Pricing
- 7.0/10
- Functionality
- 9.0/10
- Ease of use
- 8.0/10
- Support
- 8.0/10
What I like
Serverless MySQL built on Vitess, with database branching and massive horizontal scale.
Best for
Teams that need relational data to scale big
PlanetScale is the pick if you want relational data that scales the way MongoDB promises to. Built on Vitess (the technology that scales MySQL at YouTube-level traffic), it offers serverless MySQL with near-limitless horizontal scaling and a standout developer feature: database branching, so you can create and merge schema changes like code branches, safely. For teams that outgrew a single database but want SQL rather than NoSQL, that combination is compelling. Pricing is usage-based and aimed at serious workloads. It's MySQL, so it's relational rather than document-based, and it's more infrastructure than a tiny project needs. But for relational data that must scale hard, PlanetScale is a powerhouse.
Neon
- Pricing
- 8.0/10
- Functionality
- 8.0/10
- Ease of use
- 8.0/10
- Support
- 8.0/10
What I like
Serverless Postgres that scales to zero when idle — with database branching too.
Best for
Teams who want cost-efficient, modern Postgres
Neon is for teams who want a brilliant, modern database rather than a whole backend — specifically serverless PostgreSQL. Its headline features are scaling to zero (you don't pay for an always-on instance when it's idle, which is great for cost) and database branching, letting you spin up instant copies for each pull request or test. It has a generous free tier and paid plans from around $19/month. Being Postgres, it's relational, so it's a switch in data model from MongoDB's documents — but a very appealing one if structured data suits you. It's a database, not a full backend (bring your own auth and APIs). But for cutting-edge, cost-efficient Postgres, Neon is excellent.
Redis
- Pricing
- 8.0/10
- Functionality
- 8.0/10
- Ease of use
- 8.0/10
- Support
- 8.0/10
What I like
Blazing-fast in-memory data — brilliant as a cache, queue or real-time layer.
Best for
Teams needing speed: caching, sessions, queues and real-time
Redis is a different kind of database, and often it's used alongside MongoDB rather than instead of it — but for the right workloads it's the better primary store. It's an in-memory key-value database that is astonishingly fast, which makes it brilliant for caching, session storage, real-time features, leaderboards, rate limiting and message queues. It's open-source with managed cloud options. It's not built to be your general-purpose document store for everything — its strength is speed and specific data structures, not complex queries over large documents. But if your pain points are performance and real-time responsiveness, adding (or switching key workloads to) Redis can transform how fast your app feels.
Couchbase
- Pricing
- 6.0/10
- Functionality
- 9.0/10
- Ease of use
- 7.0/10
- Support
- 8.0/10
What I like
Enterprise-grade document database with SQL-like querying and strong performance at scale.
Best for
Enterprises wanting document data with SQL querying and scale
Couchbase is the enterprise-grade document database, and it's the closest like-for-like MongoDB alternative at the high end. It stores JSON documents like MongoDB, but adds a SQL-like query language (SQL++) so you get flexible document storage with familiar querying, plus strong performance, caching built in, and robust scaling and replication for demanding, mission-critical systems. It offers a managed cloud (Capella) with a trial and custom enterprise pricing. It's more than a small project needs and leans enterprise, with a steeper operational profile. But for organizations that want MongoDB's document flexibility with powerful SQL-style querying and serious, battle-tested scale, Couchbase is a strong, enterprise-ready choice.
The verdict
If you're open to relational data, Supabase is the best all-round switch — Postgres with a full backend built in — and Neon is the cost-efficient, serverless Postgres pick. Prefer the document model? Firebase is the mature, real-time option and Couchbase the enterprise one with SQL-style querying. PlanetScale is the pick for relational data that must scale hard, and Redis is unbeatable for speed, caching and real-time. Match the database type to your data.
Whatever you shortlist, run your real work through it for a week before committing — the right tool is the one that quietly disappears and lets you get back to it. And if you build software like this yourself, you can list it on Tolodora free.
Frequently asked questions
What's the best alternative to MongoDB?
It depends on your data. If you're open to relational/SQL, Supabase (Postgres with a full backend) and Neon (serverless Postgres) are the best modern picks. If you want to keep the document model, Firebase (real-time, fully managed) and Couchbase (enterprise, SQL-style querying) are the closest. For scaling relational data hard, PlanetScale; for speed and caching, Redis.
What's the best free alternative to MongoDB?
Supabase and Neon both have generous free tiers (Postgres), Firebase's Spark plan is free to start, and Redis has free options. Several are also open-source (Supabase, Redis) so you can self-host at no licensing cost. For a full free backend around a database, Supabase's free tier is the standout.
Should I switch from NoSQL to SQL?
Often, yes — many teams choose MongoDB for flexibility early on, then find their data is actually relational, which makes SQL (Supabase, Neon, PlanetScale) a better long-term fit for complex queries and data integrity. If your data is genuinely document-shaped and you need real-time sync or flexible schemas, staying document-based (Firebase, Couchbase) makes sense. Match the model to your data, not the trend.
Which MongoDB alternative scales best?
PlanetScale (serverless MySQL on Vitess) and Couchbase are both built for serious horizontal scale, as is Firebase for real-time mobile workloads. Supabase and Neon scale well for most applications too, with Neon's serverless architecture handling spiky traffic efficiently. For extreme, YouTube-scale relational workloads, PlanetScale is purpose-built.
Which keeps the document model like MongoDB?
Firebase (Firestore) and Couchbase are the document-based alternatives — both store JSON-like documents, so the mental model carries over from MongoDB. Firebase is fully managed and great for real-time/mobile; Couchbase adds SQL-style querying and enterprise scale. The Postgres-based options (Supabase, Neon) and PlanetScale are relational, which is a model switch.
Sources & further reading
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