Software · head to head
Apache Druid vs MongoDB

Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- 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.
| Attribute | Apache Druid | MongoDB |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure) |
| Founded | 1999 | 2007 |
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
FreeNo 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.
SourceMongoDB: 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.
SourceMongoDB: 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.
SourceMongoDB: 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+.
SourceRelated pages
More on Apache Druid
Keep looking
Other head to heads
- Apache Druid vs Cockroach Labs
- Apache Druid vs PostgreSQL
- Apache Druid vs Airtable
- Apache Druid vs Amazon Aurora
- Apache Druid vs Elasticsearch
- Apache Druid vs PlanetScale
- Apache Druid vs Azure SQL
- Apache Druid vs ClickHouse
- Apache Druid vs Couchbase
- Apache Druid vs DuckDB
- Apache Druid vs DynamoDB
- Apache Druid vs MariaDB
- Apache Druid vs Oracle Database
- Apache Druid vs Amazon RDS
- Apache Druid vs Amazon Redshift
- Apache Druid vs Cassandra
- Apache Druid vs CouchDB
- Apache Druid vs Firebolt
- Apache Druid vs Asana
- Apache Druid vs ClickUp
- Apache Druid vs Figma
- Apache Druid vs Linear
- Apache Druid vs Monday.com
- Apache Druid vs Greenhouse
- Apache Druid vs Notion
- Apache Druid vs Amplitude
- Apache Druid vs Datadog
- Apache Druid vs PostHog
- Apache Druid vs PyCharm
- Apache Druid vs Sketch
- Apache Druid vs Docker
- Apache Druid vs Netlify
- Apache Druid vs Okta
- Apache Druid vs Aha!
- Apache Druid vs Coda
- Apache Druid vs Dashlane
- MongoDB vs Cockroach Labs
- MongoDB vs PostgreSQL
- MongoDB vs Airtable
- MongoDB vs Amazon Aurora
- MongoDB vs Elasticsearch
- MongoDB vs PlanetScale
- MongoDB vs Azure SQL
- MongoDB vs ClickHouse
- MongoDB vs Couchbase
- MongoDB vs DuckDB
- MongoDB vs DynamoDB
- MongoDB vs MariaDB
- MongoDB vs Oracle Database
- MongoDB vs Amazon RDS
- MongoDB vs Amazon Redshift
- MongoDB vs Cassandra
- MongoDB vs CouchDB
- MongoDB vs Firebolt
- MongoDB vs Asana
- MongoDB vs ClickUp
- MongoDB vs Figma
- MongoDB vs Linear
- MongoDB vs Monday.com
- MongoDB vs Greenhouse
- MongoDB vs Notion
- MongoDB vs Amplitude
- MongoDB vs Datadog
- MongoDB vs PostHog
- MongoDB vs PyCharm
- MongoDB vs Sketch
- MongoDB vs Docker
- MongoDB vs Netlify
- MongoDB vs Okta
- MongoDB vs Aha!
- MongoDB vs Coda
- MongoDB vs Dashlane

