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MongoDB Alternatives (2026): 10 Databases Compared

MongoDB alternatives are other databases for storing flexible, document-style data, from open-source NoSQL databases to managed cloud services. Some speak MongoDB's protocol so apps move easily, others take a different approach to scale or queries. Pick by how your app reads and writes data, and check each licence if you'll offer the database as a service.

MongoDB made document databases mainstream, and it's still a common default for new apps. But teams look elsewhere for licensing reasons, managed options on their cloud, or a data model that suits their queries better.

Here are ten MongoDB alternatives in no particular order, sorted alphabetically, from open-source projects to managed cloud databases. Each description comes from the vendor's own website, re-checked today. If you're new to choosing tech for a business, my post on how software helps a business succeed is a gentle starting point.

Look at your access patterns first. Simple lookups by key, rich document queries and huge write volumes all point to different databases.

Then decide who runs it. A managed service saves backups and upgrades, while self-hosting gives you control.

MongoDB alternatives at a glance

In the free plan column, Yes means the tool's own site describes a free version, free plan or open-source download, Trial only means a time-limited trial, and No means neither is stated. Free versions often come with limits, so check what's included before you rely on one.

ToolTypeGood forFree plan
Amazon DocumentDBManaged document databaseMongoDB-style apps on AWSTrial only
Apache CassandraDistributed NoSQL databaseHuge write volumesYes
ArangoDBMulti-model databaseDocuments and graphs togetherYes
Azure Cosmos DBManaged NoSQL databaseGlobal apps on AzureYes
CouchbaseNoSQL databaseFast apps with offline syncYes
CouchDBOpen-source document databaseSync between devicesYes
FerretDBOpen-source MongoDB alternativeMongoDB protocol on PostgresYes
Google Cloud FirestoreServerless document databaseMobile and web appsYes
RavenDBDocument databaseACID document storageYes
SurrealDBMulti-model databaseModern apps with one query languageYes

Ten MongoDB alternatives to consider

Amazon DocumentDB

Best for: Teams on AWS who want a managed document database that works with MongoDB drivers.

Apache Cassandra

Best for: Teams with very large, always-on workloads spread across data centres.

ArangoDB

Best for: Developers who want documents, graphs and key-value data in one database.

Azure Cosmos DB

Best for: Teams on Azure who want a globally distributed database with several APIs.

Couchbase

Best for: Apps that need low-latency document access and mobile offline sync.

CouchDB

Best for: Developers who want a document database with built-in replication and sync.

FerretDB

Best for: Teams who want MongoDB-compatible queries running on an open-source backend.

Google Cloud Firestore

Best for: App developers who want a serverless document database with real-time updates.

RavenDB

Best for: Developers who want a fully transactional document database with built-in indexing.

SurrealDB

Best for: Developers who want documents, graphs and relations queried with one language.

The licence detail that surprises teams

Here's something to know before you build a product on top of a database. MongoDB's own licence FAQ says versions released on or after October 16, 2018 are under the Server Side Public License, and that the SSPL hasn't received approval from the Open Source Initiative.

For most apps that's fine. But if you plan to offer the database itself as a service, read the licence carefully, or choose an alternative under a licence you're comfortable with.

What to compare in a document database

  • Query model: the queries your app runs every day.
  • Compatibility: whether your existing drivers keep working.
  • Scaling: how it grows when data and traffic grow.
  • Transactions: support for multi-document updates.
  • Hosting: managed, self-hosted or both.

How to test a database move safely

  1. Export a copy of real data, without personal details.
  2. Load it into the new database.
  3. Run your ten most common queries and time them.
  4. Test one write-heavy job.
  5. Only switch production after a parallel run.

Database migration mistakes to avoid

  • Testing with toy data. Use realistic volumes.
  • Forgetting indexes. Recreate them before timing queries.
  • No rollback plan. Keep the old system ready.
  • Copying personal data into tests. Strip it out first.

If you're building tools around your data, my story on how I built a lead magnet calculator with AI shows a simple starting point.

Questions to ask before you choose a database

Databases are hard to change once an app grows, so it's worth asking a few direct questions now.

  • Which licence covers the version we'd run?
  • Will our current drivers and queries keep working?
  • How are backups and restores handled?
  • How does it scale when traffic grows?
  • How easy is it to export all our data?

If you're not technical, ask your developer to answer these in writing. It makes the decision clear for everyone.

Do you make database tools? Tool makers can ask to be considered for a featured place on this list.

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My plain advice on MongoDB alternatives

Don't move databases for fashion. Move when licensing, the effort of running it or performance gives you a clear reason, and prove it with your own data.

And keep your data portable. Regular exports in an open format make every future decision easier.

Frequently asked questions

What's the best open-source alternative to MongoDB?

Several open-source document and multi-model databases are free to self-host.

Is MongoDB open source?

MongoDB says its newer versions use the SSPL, which the Open Source Initiative hasn't approved.

Can I keep my MongoDB drivers?

Some alternatives speak MongoDB's protocol, so existing drivers often work.

What's a document database?

It stores data as flexible, JSON-like documents rather than fixed tables.

Is a relational database a MongoDB alternative?

It can be. Many relational databases store JSON well too.

What's multi-model?

A database that handles several data types, such as documents and graphs.

Do managed databases include backups?

Usually, but check retention and restore options.

Can these databases scale globally?

Some are built for global distribution.

How hard is migration?

Simple apps move quickly. Complex queries need testing.

What are ACID transactions?

They keep data consistent when several changes happen together.

Should a small startup self-host?

Usually not. A managed service saves time early on.

How do I avoid lock-in?

Use standard drivers and keep regular exports.

Which database suits a small side project?

A managed service with a free tier is usually simplest, because you skip servers and backups while you test the idea.

Do I need a database administrator?

Not for most small apps on managed services. Larger self-hosted setups benefit from one.

Can I store JSON in a relational database?

Yes. Many relational databases have strong JSON support, which suits mixed data.

What's a managed database?

A database a provider runs for you, including backups, upgrades and scaling.

Do serverless databases scale to zero?

Some do, which suits apps with quiet periods. Check the provider's details.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
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