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Software · head to head

Apache Druid vs MongoDB

Apache Druid logo

Apache Druid

Software

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
MongoDB logo

MongoDB

Software

The developer data platform

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; MongoDB 16 MB maximum document size limits large single objects
  • They diverge on capability: Apache Druid covers Real-time Ingestion, MongoDB covers Document model.

Where they differ

Only the attributes on which Apache Druid and MongoDB actually diverge.

Attributes where Apache Druid and MongoDB differ
AttributeApache DruidMongoDB
Pricing modelopen-sourceUnknown
PlatformsDocker, Kubernetes, Native deployment (Java-based)Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure)
Founded19992007

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

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 Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

Only in MongoDB

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

What people use each for

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

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot MongoDB
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not MongoDB
  • Time-series and event analysis at massive scale with columnar storage efficiencynot MongoDB

MongoDB

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

Where each one falls short

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

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

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

Apache Druid

Free

No published plan breakdown. See the Apache Druid 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 Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.

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.

Questions people ask

Is Apache Druid or MongoDB better?
Neither clearly leads. Apache Druid 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, Apache Druid or MongoDB?
Apache Druid starts at Free and MongoDB at Free.
Does Apache Druid or MongoDB run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what MongoDB is typically brought in for.
What can Apache Druid do that MongoDB cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics.

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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