Amazon EMR

name: Amazon EMR
description: Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive
  SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Apache Hive,
  Apache HBase, Apache Flink, Apache Hudi, and Presto.
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
url: https://aws.amazon.com/emr/
created: '2024-01-15'
modified: '2026-05-19'
specificationVersion: '0.19'
tags:
- Amazon Web Services
- Analytics
- Apache Spark
- AWS
- Big Data
- Data Processing
- Hadoop
apis:
- name: Amazon EMR API
  description: API for creating and managing Amazon EMR clusters, steps, instance groups, and running distributed big data
    processing workloads.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Analytics
  - Big Data
  - Data Processing
  - Spark
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/emr/latest/ManagementGuide/
  - type: OpenAPI
    url: openapi/amazon-emr-openapi.yml
  - type: APIReference
    url: https://docs.aws.amazon.com/emr/latest/APIReference/
  - type: GettingStarted
    url: https://aws.amazon.com/emr/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/emr/pricing/
  - type: FAQ
    url: https://aws.amazon.com/emr/faqs/
  - type: JSONSchema
    url: json-schema/amazon-emr-schema.json
  - type: JSONLD
    url: json-ld/amazon-emr-context.jsonld
  - type: NaftikoCapability
    url: capabilities/amazon-emr-clusters.yaml
common:
- type: Portal
  url: https://aws.amazon.com/
- type: DeveloperPortal
  url: https://aws.amazon.com/emr/
- type: Documentation
  url: https://docs.aws.amazon.com/emr/
- type: Blog
  url: https://aws.amazon.com/blogs/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/emr/
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Support
  url: https://aws.amazon.com/support/
- type: FAQ
  url: https://aws.amazon.com/emr/faqs/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: Security
  url: https://aws.amazon.com/security/
- type: YouTube
  url: https://www.youtube.com/user/AmazonWebServices
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/emr
- type: KnowledgeCenter
  url: https://repost.aws/knowledge-center
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: SpectralRules
  url: rules/amazon-emr-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-emr-vocabulary.yaml
- type: Features
  data:
  - name: Apache Spark Support
    description: Run Apache Spark jobs for large-scale data processing and machine learning
  - name: Auto Scaling
    description: Automatically adjust cluster size based on workload demand
  - name: Spot Instance Integration
    description: Use EC2 Spot instances to reduce costs up to 90%
  - name: EMR Serverless
    description: Run analytics without provisioning or managing clusters
  - name: Studio Notebooks
    description: Develop and debug jobs using EMR Studio Jupyter notebooks
- type: UseCases
  data:
  - name: ETL Data Processing
    description: Extract, transform, and load large datasets across data lakes and warehouses
  - name: Machine Learning
    description: Train machine learning models on large datasets using Spark MLlib
  - name: Log Analytics
    description: Process and analyze application logs at petabyte scale
  - name: Financial Risk Analysis
    description: Run Monte Carlo simulations and risk models on large datasets
- type: Integrations
  data:
  - name: Amazon S3
    description: Use S3 as data lake storage for EMR clusters
  - name: AWS Glue
    description: Integrate with Glue Data Catalog for metadata management
  - name: Amazon Athena
    description: Query data processed by EMR using Athena SQL
  - name: Amazon SageMaker
    description: Hand off processed data to SageMaker for model training
maintainers:
- FN: Kin Lane
  email: [email protected]