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Amazon Aurora vs Apache Druid

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Full reviewWebsite
Apache Druid logo

Apache Druid

Software

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Apache Druid covers Real-time Ingestion.

Where they differ

Only the attributes on which Amazon Aurora and Apache Druid actually diverge.

Attributes where Amazon Aurora and Apache Druid differ
AttributeAmazon AuroraApache Druid
Pricing modelusage-basedopen-source
PlatformsAWS CloudDocker, Kubernetes, Native deployment (Java-based)
Founded20061999

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 Aurora

  • MySQL/PostgreSQL Compatible
  • 5x MySQL Performance
  • Auto-scaling Storage
  • Global Database
  • Serverless v2
  • Multi-master
  • Fault Tolerant
  • AWS Lambda

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 Aurora

  • Transaction processingnot Apache Druid
  • Data storagenot Apache Druid
  • Application backendnot Apache Druid
  • Reportingnot Apache Druid
  • Data analyticsnot Apache Druid

Apache Druid

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

Where each one falls short

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

Amazon Aurora

  • Aurora requires AWS ecosystem knowledge and integration with other AWS services
  • Pricing can become expensive with high-traffic applications using many read replicas
  • Limited support for non-relational data types compared to NoSQL alternatives

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 Aurora

Free
  • Serverless v2$0.12/hour
    • Auto-scaling
    • Pay per ACU
    • Instant scaling
  • Provisioned$29/month
    • Dedicated instances
    • Predictable performance
    • Reserved capacity

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Which should you pick?

Choose Amazon Aurora if

  • You need mysql/postgresql compatible.
  • You want to start without paying.
  • You work on AWS Cloud.
  • You also want 5x mysql performance.
Amazon Aurora review

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.
Apache Druid review

Questions people ask

Is Amazon Aurora or Apache Druid better?
Neither clearly leads. Amazon Aurora 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 Aurora or Apache Druid?
Amazon Aurora starts at Free and Apache Druid at Free.
Does Amazon Aurora or Apache Druid run on more platforms?
Amazon Aurora runs on AWS Cloud. Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based).
Can I use Amazon Aurora for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Aurora best used for?
Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Apache Druid is typically brought in for.
What can Amazon Aurora do that Apache Druid cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.

Answered from the vendors’ own pages

Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?

Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.

Source
Amazon Aurora: What uptime SLA does Amazon Aurora provide?

Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.

Source
Amazon Aurora: How much does Amazon Aurora cost?

Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.

Source
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

Source
Amazon Aurora: How many read replicas does Aurora support?

Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.

Source
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Related pages

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