Best MongoDB Alternatives 2026
Discover the best MongoDB alternatives for 2026. Compare PostgreSQL, Supabase, DynamoDB, CouchDB and Fauna on scalability, querying and cost.
At MG Software, we choose PostgreSQL with JSONB as a MongoDB alternative for most projects — it combines document flexibility with relational power. For full-stack projects, we recommend Supabase as a complete platform.
Why do people look for alternatives to MongoDB is an open-source document-oriented NoSQL database that stores data in flexible JSON-like documents (BSON). It offers horizontal scalability via sharding, a powerful aggregation pipeline and Atlas as a managed cloud service.?
Developers seek MongoDB alternatives due to rising Atlas costs at scale, the lack of true ACID transactions across multiple documents in older versions, and the desire to combine relational features with document flexibility.
Best alternatives
PostgreSQL
Advanced open-source relational database with extensive JSONB support, allowing you to store and query document-like data within a fully ACID-compliant system.
Pros
- +Full ACID transactions with JSONB for flexible document storage
- +Massive ecosystem with extensions like PostGIS, pg_vector and TimescaleDB
- +Free and open-source with no licensing costs at scale
Cons
- -Horizontal scaling requires additional tooling like Citus or partitioning
- -Steeper learning curve for developers with only NoSQL experience
Supabase
Open-source Backend-as-a-Service built on PostgreSQL with realtime subscriptions, built-in authentication, storage and auto-generated REST and GraphQL APIs.
Pros
- +Complete backend platform with auth, storage and realtime out of the box
- +SQL power of PostgreSQL with an intuitive dashboard
- +Generous free tier and predictable scaling costs
Cons
- -Tied to PostgreSQL — no native document model like MongoDB
- -Less suited for complex aggregation pipelines on unstructured data
Amazon DynamoDB
Fully managed serverless NoSQL database from AWS with single-digit millisecond latency, automatic scaling and built-in security and backup.
Pros
- +Virtually unlimited scalability with guaranteed low latency
- +Fully serverless — no server management or capacity planning needed
- +Seamless integration with the AWS ecosystem (Lambda, S3, IAM)
Cons
- -Strong vendor lock-in within the AWS ecosystem
- -Query capabilities limited to primary key and secondary indexes
CouchDB
Apache open-source document database with an HTTP/JSON API, built-in multi-master replication and conflict resolution for offline-first and distributed applications.
Pros
- +Built-in multi-master replication for offline-first and edge applications
- +RESTful HTTP API makes integration simple without special drivers
- +Robust conflict resolution for distributed write operations
Cons
- -Smaller community and less tooling than MongoDB
- -Slower query performance for complex ad-hoc queries
Fauna
Serverless document-relational database with native GraphQL, strict serializability and a distributed architecture designed for globally low-latency access.
Pros
- +Serverless with automatic scaling and global distribution
- +Strict ACID transactions across distributed documents
- +Native GraphQL API alongside the proprietary FQL query language
Cons
- -Proprietary query language (FQL) requires a learning curve
- -Costs can escalate quickly with high throughput and large datasets
What to consider when switching?
- Determine whether you need relational joins or pure document storage suffices
- Compare total costs at your expected data volume and query patterns
- Evaluate available drivers and SDKs for your programming language
- Assess migration effort for existing MongoDB queries and aggregations
Which alternative does MG Software recommend?
At MG Software, we choose PostgreSQL with JSONB as a MongoDB alternative for most projects — it combines document flexibility with relational power. For full-stack projects, we recommend Supabase as a complete platform.
Frequently asked questions
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