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Migration guide · Managed databases

The 5 best MongoDB Atlas alternatives

Atlas is MongoDB's managed service: clusters provisioned, backed up, monitored and upgraded for you across AWS, Azure and Google Cloud, with search, vector search and serverless options on top. It is the default way most teams consume MongoDB now, and for good reason — running a replica set well is a real skill.

98
Bottom line

If you like MongoDB and dislike the bill, self-host it — the SSPL restriction almost certainly does not apply to you. If the licence itself is the problem, FerretDB speaks the same protocol on top of Postgres. And if you are choosing fresh rather than migrating, ask honestly whether Postgres with JSONB was the answer all along.

Jump to the full comparison →

The cost

A free M0 tier covers 512MB and genuinely works for prototypes. Beyond it, shared clusters start near $9/month, and dedicated clusters begin around $57/month for an M10 and rise steeply with memory and storage. Backups, data transfer and Atlas Search are billed separately. The pattern to watch is that dedicated clusters are priced by instance rather than usage, so a database that is mostly idle still costs the full rate. Figures checked 2026-08-07.

Why people consider an alternative

Licensing is the reason this category is unusual, and it is worth being precise. In 2018 MongoDB relicensed the server from AGPL to the Server Side Public License, which is not an OSI-approved open-source licence — it requires anyone offering MongoDB as a service to open-source their entire service stack. For most users running MongoDB internally this changes nothing whatsoever. It changed everything for cloud providers, and it is why AWS built DocumentDB and why FerretDB exists. The second reason is cost at idle, and the third is that many applications on MongoDB do not actually need a document store — they need Postgres with a JSON column.

When MongoDB Atlas is still the right call

Stay if you use Atlas Search or Vector Search — replacing them means standing up OpenSearch or a vector database and wiring it yourself, which usually costs more than the cluster. Stay if nobody on the team wants to own a replica set, because operating MongoDB properly across availability zones is genuinely demanding and doing it badly is worse than paying. Stay if you need multi-cloud or specific compliance attestations. And stay if you are on the free M0 tier, which covers a great many real projects.

AlternativeLicenseSelf-hostPricingSovereignty
PostgreSQLPostgreSQL License (permissive)YesFree and open source. Managed options exist from every cloud, usually cheaper than Atlas.98
Apache CouchDBApache-2.0YesFree and open source. Managed hosting available from several providers.96
FerretDBApache-2.0YesFree and open source. You run it alongside your own Postgres.95
MongoDB Community (self-hosted)SSPL (source-available, not OSI open source)YesFree to download and run. You pay for servers and the people who operate them.70
SurrealDBBSL 1.1 (source-available, converts to Apache-2.0 over time)YesFree to self-host under BSL terms. Managed cloud is paid.68
98
Macrostack's top pick

PostgreSQL

The default answer, and JSONB means you may not need a document store.

Which one fits your situation?

There is no single best answer — it depends on what you are actually trying to do.

Just tell me the best MongoDB Atlas alternative

PostgreSQL98

Our top pick — the highest Sovereignty Score at 98, and the one we would choose ourselves.

PostgreSQL vs Apache CouchDB

I have no budget — is there a genuinely free one?

Apache CouchDB96

Open source under Apache-2.0. Free and open source. Managed hosting available from several providers.

Apache CouchDB vs PostgreSQL

I want to self-host it and own the data

FerretDB95

Self-hostable, so your data stays on your own server. Free and open source. You run it alongside your own Postgres.

FerretDB vs PostgreSQL

It is just me — I do not want to run a server

SurrealDB68

Offers a hosted option, so you can start without infrastructure. Free to self-host under BSL terms. Managed cloud is paid.

SurrealDB vs PostgreSQL

Every alternative, compared

#1★ TOP PICK

PostgreSQL

The default answer, and JSONB means you may not need a document store.

98
OPEN SOURCEPostgreSQL License (permissive)SELF-HOSTLOCAL-FIRST

Postgres is the most capable open database in general use and the one most teams should reach for first. The detail that matters on this page: JSONB gives you schemaless document storage with indexing and rich querying inside a relational database, so you can hold documents where they suit and use joins, transactions and constraints everywhere else. Add pgvector for embeddings and full-text search built in, and a large share of MongoDB deployments turn out to be Postgres deployments that took a detour. PostgreSQL Licence — permissive, foundation-governed, and not going to change.

Strengths

  • +JSONB covers most document workloads without giving up relational features
  • +pgvector and full-text search built in — no second database
  • +Governance by a foundation; the licence will not be changed under you
  • +Every cloud offers a managed version, so you are never captive to one

Trade-offs

  • Migrating from MongoDB means rewriting queries, not just moving data
  • Horizontal sharding is harder than MongoDB's
  • Genuinely document-shaped workloads at huge scale fit MongoDB better
  • Operating it yourself is still real work
Free and open source. Managed options exist from every cloud, usually cheaper than Atlas.
#2

Apache CouchDB

Apache-2.0 documents, built around offline sync.

96
OPEN SOURCEApache-2.0SELF-HOSTLOCAL-FIRST

CouchDB is a document database under the Apache Software Foundation with a distinguishing feature nothing else here matches: replication designed for intermittent connectivity, so devices can work offline and reconcile later. If you are building something that must function on a phone in a field with no signal, CouchDB with PouchDB in the client solves a problem MongoDB does not attempt. Apache-2.0 with foundation governance, so the licence question is settled permanently. It is slower and less fashionable than the alternatives, and for its particular job it has no real competitor.

Strengths

  • +Apache Software Foundation governance — the licence is settled
  • +Best offline-first replication of any database in this comparison
  • +Pairs with PouchDB for genuinely offline-capable applications
  • +Simple HTTP and JSON interface with no driver required

Trade-offs

  • Slower than MongoDB or Postgres for general workloads
  • Query capability is weaker; map-reduce views take adjusting to
  • Smaller community and less momentum
  • Wrong choice unless offline sync is genuinely your problem
Free and open source. Managed hosting available from several providers.
#3

FerretDB

MongoDB's wire protocol, speaking to Postgres underneath.

95
OPEN SOURCEApache-2.0SELF-HOSTLOCAL-FIRST

FerretDB implements the MongoDB wire protocol on top of Postgres, so an existing application keeps its drivers, its queries and its code while the data lives in an open relational database under a licence nobody will change. Apache-2.0, around 11k stars. It is the most surgical exit in this comparison: for the common case of a team using MongoDB as a straightforward document store, it is close to a drop-in. Compatibility is good rather than total — the exotic aggregation stages and MongoDB-specific features are where it stops.

Strengths

  • +Existing MongoDB drivers and queries keep working — minimal code change
  • +Apache-2.0, with data resting in Postgres
  • +Sidesteps the SSPL question entirely
  • +Lets you consolidate onto one database engine

Trade-offs

  • Compatibility is good but not complete — test your aggregations
  • Extra layer between application and storage
  • Younger project with a smaller community
  • Not faster than MongoDB; this is about licence and consolidation
Free and open source. You run it alongside your own Postgres.
#4

MongoDB Community (self-hosted)

The same database, on your own servers, for the price of the servers.

70
SOURCE-AVAILABLESSPL (source-available, not OSI open source)SELF-HOSTLOCAL-FIRST

The most overlooked option: run MongoDB yourself. It is the identical database engine, free of charge, and for the overwhelming majority of users the SSPL restriction is irrelevant — it only bites if you offer MongoDB itself as a service to third parties. Read the licence against your own situation rather than the argument about it. What you give up is Atlas: no managed backups, no automatic failover configuration, no Atlas Search, and you own upgrades and monitoring. What you keep is every query and every driver, unchanged.

Strengths

  • +Identical engine — zero application changes
  • +No cluster bill; a modest server handles a lot
  • +Full control over version, configuration and data location
  • +SSPL restrictions do not apply to ordinary internal use

Trade-offs

  • SSPL is not OSI-approved open source, and that matters to some procurement teams
  • You own replica sets, failover, backups and upgrades
  • No Atlas Search, Vector Search or Triggers
  • Operating MongoDB well across zones is a genuine specialism
Free to download and run. You pay for servers and the people who operate them.
#5

SurrealDB

Documents, graph and relational in one engine — but check the licence.

68
SOURCE-AVAILABLEBSL 1.1 (source-available, converts to Apache-2.0 over time)SELF-HOSTLOCAL-FIRST

SurrealDB is a Rust multi-model database combining document, graph and relational access through a single SQL-like language, with real-time queries and permissions built in. It is genuinely interesting engineering and around 32.8k stars. One correction that matters and that most listings get wrong: the core is licensed under the Business Source License 1.1, not an open-source licence. BSL restricts offering it as a competing service and converts to Apache-2.0 after a set period. For internal use that is usually fine; for anyone building a product on top, read it first.

Strengths

  • +Document, graph and relational in a single engine — genuinely rare
  • +Real-time queries and row-level permissions built in
  • +Rust, fast, and can embed directly in an application
  • +Converts to Apache-2.0 on a published schedule

Trade-offs

  • BSL 1.1 is NOT open source, despite how it is usually listed
  • Young relative to Postgres or MongoDB
  • Smaller ecosystem and fewer battle-tested deployments
  • Multi-model flexibility is also more ways to model something badly
Free to self-host under BSL terms. Managed cloud is paid.

Questions people ask

Is MongoDB still open source?

No, not by the OSI definition. In 2018 the server moved from AGPL to the Server Side Public License, which requires anyone offering MongoDB as a service to open-source their whole service stack. For internal use it changes nothing — but SSPL is source-available rather than open source, and some procurement processes treat that as a hard stop.

What is the cheapest way off Atlas without rewriting my app?

Two options. Self-host MongoDB Community — identical engine, zero application changes, and the SSPL restriction almost certainly does not apply to you. Or run FerretDB, which speaks the MongoDB wire protocol on top of Postgres, so drivers and queries keep working while the data rests in an open database.

Should I use MongoDB or Postgres for a new project?

Postgres, in most cases. JSONB gives you schemaless documents with indexing and rich querying inside a relational database, plus joins, transactions, pgvector and full-text search. Choose MongoDB when your data is genuinely document-shaped at scale and horizontal sharding is a real requirement rather than an anticipated one.

Compare them head-to-head

Related comparisons

Entry last verified 2026-08-07. Licenses and pricing change — spotted something out of date? That's a correction we want.

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