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Databases · head to head

Amazon Redshift vs MongoDB

Amazon Redshift logo

Amazon Redshift

Databases

Fast, scalable cloud data warehouse from AWS

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: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; MongoDB 16 MB maximum document size limits large single objects
  • They diverge on capability: Amazon Redshift covers Columnar Storage, MongoDB covers Document model.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon Redshift and MongoDB actually diverge.

Attributes where Amazon Redshift and MongoDB differ
AttributeAmazon RedshiftMongoDB
Pricing modelusage-basedUnknown
PlatformsWebCloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure)
CategoryDatabasesTechnology
Founded20122007

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 Amazon Redshift

  • Columnar Storage
  • Massively Parallel
  • Machine Learning
  • AQUA Acceleration
  • Data Sharing
  • Federated Query
  • Concurrency Scaling
  • S3

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.

Amazon Redshift

  • Business intelligencenot MongoDB
  • Data warehousingnot MongoDB
  • Real-time analytics
  • Reportingnot MongoDB
  • Machine learningnot MongoDB

MongoDB

  • Mobile applicationsnot Amazon Redshift
  • Content managementnot Amazon Redshift
  • Real-time analytics
  • IoT applicationsnot Amazon Redshift
  • Gaming backendsnot Amazon Redshift

Both are used for real-time analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

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

Amazon Redshift

  • On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
  • Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
  • Performance degrades without proper design of distribution keys and sort keys
  • Limited elastic resize options - can only halve or double current cluster size
  • AWS lock-in makes it unsuitable for multi-cloud architectures

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

Amazon Redshift

Free
  • Free TrialFree
    • 750 DC2.Large hours
    • 2 months free
    • Full features
  • On-Demand$0.25/hour
    • Pay per node hour
    • All features
    • Standard support

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 Amazon Redshift if

  • You need columnar storage.
  • You want to start without paying.
  • You also want massively parallel.
Amazon Redshift 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 Amazon Redshift or MongoDB better?
Neither clearly leads. Amazon Redshift 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, Amazon Redshift or MongoDB?
Amazon Redshift starts at Free and MongoDB at Free.
Does Amazon Redshift or MongoDB run on more platforms?
Amazon Redshift runs on Web. MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
Can I use Amazon Redshift for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Redshift best used for?
Amazon Redshift is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what MongoDB is typically brought in for.
What can Amazon Redshift do that MongoDB cannot?
Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics.

Answered from the vendors’ own pages

Amazon Redshift: What deployment options does Amazon Redshift offer?

Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.

Source
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
Amazon Redshift: What does Amazon Redshift cost?

Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.

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
Amazon Redshift: Does Redshift work with data lakes?

Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.

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
Amazon Redshift: Is there a free tier for Amazon Redshift?

AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.

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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