Software · head to head
Amazon Redshift vs Apache Druid
Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Amazon Redshift covers Columnar Storage, Apache Druid covers Real-time Ingestion.
Where they differ
Only the attributes on which Amazon Redshift and Apache Druid actually diverge.
| Attribute | Amazon Redshift | Apache Druid |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | Web | Docker, Kubernetes, Native deployment (Java-based) |
| Founded | 2012 | 1999 |
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 Amazon Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
Only in Apache Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Apache Druid
- Data warehousingnot Apache Druid
- Real-time analyticsnot Apache Druid
- Reportingnot Apache Druid
- Machine learningnot Apache Druid
Apache Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Amazon Redshift
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Amazon Redshift
- Time-series and event analysis at massive scale with columnar storage efficiencynot Amazon Redshift
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
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
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
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
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.
Questions people ask
- Is Amazon Redshift or Apache Druid better?
- Neither clearly leads. Amazon Redshift starts at Free and Apache Druid at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Apache Druid?
- Amazon Redshift starts at Free and Apache Druid at Free.
- Does Amazon Redshift or Apache Druid run on more platforms?
- Amazon Redshift runs on Web. Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based).
- 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 Apache Druid is typically brought in for.
- What can Amazon Redshift do that Apache Druid cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.
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.
SourceAmazon 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.
SourceAmazon 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.
SourceAmazon 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