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Database & Data Management · head to head

DuckDB vs MongoDB

DuckDB logo

DuckDB

Database & Data Management

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
MongoDB logo

MongoDB

Technology

The developer data platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; MongoDB 16 MB maximum document size limits large single objects
  • They diverge on capability: DuckDB covers In-process Execution, MongoDB covers Document model.

Where they differ

Only the attributes on which DuckDB and MongoDB actually diverge.

Attributes where DuckDB and MongoDB differ
AttributeDuckDBMongoDB
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyCloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure)
CategoryDatabase & Data ManagementTechnology
Founded20192007

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DuckDB

  • In-process Execution
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • R

Only in MongoDB

  • Document model
  • Distributed architecture
  • ACID transactions
  • Real-time analytics
  • Full-text search
  • Time series data
  • Geospatial queries
  • Aggregation framework

Both cover

  • Python
  • Node.js

What people use each for

The jobs each tool is most often brought in to do.

DuckDB

  • Analytics and data warehousingnot MongoDB
  • OLAP queries and data explorationnot MongoDB
  • Data science and machine learning workflowsnot MongoDB
  • Multi-format data ingestion and processingnot MongoDB

MongoDB

  • Mobile applicationsnot DuckDB
  • Content managementnot DuckDB
  • Real-time analyticsnot DuckDB
  • IoT applicationsnot DuckDB
  • Gaming backendsnot DuckDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

MongoDB

  • 16 MB maximum document size limits large single objects
  • No native JOIN support for relational data operations
  • Higher memory usage due to storing field names with each document
  • Eventual consistency in distributed deployments can cause data stale reads

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

MongoDB

Free
  • M0Free
    • 512 MB storage
    • Learning and exploration
  • M2$9/month
    • 2 GB storage
    • Development and testing
  • M5$25/month
    • 5 GB storage
  • M10+$56.94/month
    • Dedicated clusters for production

Which should you pick?

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want columnar storage.
DuckDB review

Choose MongoDB if

  • You need document model.
  • You want to start without paying.
  • You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
  • You also want distributed architecture.
MongoDB review

Questions people ask

Is DuckDB or MongoDB better?
Neither clearly leads. DuckDB starts at Free and MongoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or MongoDB?
DuckDB starts at Free and MongoDB at Free.
Does DuckDB or MongoDB run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
Can I use DuckDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is DuckDB best used for?
DuckDB is most often used for analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what MongoDB is typically brought in for.
What can DuckDB do that MongoDB cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics. Both handle Python, Node.js.

Answered from the vendors’ own pages

MongoDB: Does MongoDB offer a free tier?

Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.

Source
MongoDB: Can I self-host MongoDB?

Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.

Source
MongoDB: What is the maximum document size in MongoDB?

Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.

Source
MongoDB: Does MongoDB support ACID transactions?

Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.

Source
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