Amazon EMR

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.

Amazon EMR publishes 12 API contracts indexed on the APIs.io network, including Clusters API, Emr Auto Termination Policy API, Emr Instance Fleet API, and 9 more. Tagged areas include Amazon Web Services, Analytics, Apache Spark, Big Data, and Data Processing.

The Amazon EMR catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon EMR’s developer surface includes developer portal, documentation, engineering blog, developer console, signup flow, support, FAQ, and 30 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

62.5/100 strong ▬ flat Agent 39/100 agent ready saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 5 Features 4 Use Cases

Amazon Web Services Analytics Apache Spark Big Data Data Processing Hadoop

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information Technology Management

BC-600

amazon-emr-instance-fleet-apiamazon-emr-instance-group-apiamazon-emr-managed-scaling-policy-api

POST /#AddInstanceFleet POST /#AddInstanceGroups POST /#PutManagedScalingPolicy

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 62.5/100 · strong

Contract Quality 12.2 / 19

Developer Ergonomics 8.0 / 15

Access Clarity 14.0 / 15

Operational Transparency 3.6 / 10

Contract Governance 2.5 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 39/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 4 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Agent Skills +5 pts — skills artifact present, graded by who authored it

4 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 53.6 — up to +9.3 composite points
Contract Quality scores 65.1 — up to +8.7 composite points
Contract Governance scores 27.3 — up to +8.7 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/amazon-emr/apis.yml: open an issue on github.com/api-evangelist/amazon-emr to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 12

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon EMR Clusters API

Operations for creating, managing, and terminating EMR clusters

Amazon EMR Emr Auto Termination Policy API

The Emr Auto Termination Policy API from Amazon EMR — 3 operation(s) for emr auto termination policy.

Amazon EMR Emr Instance Fleet API

The Emr Instance Fleet API from Amazon EMR — 3 operation(s) for emr instance fleet.

Amazon EMR Emr Instance Group API

The Emr Instance Group API from Amazon EMR — 3 operation(s) for emr instance group.

Amazon EMR Emr Managed Scaling Policy API

The Emr Managed Scaling Policy API from Amazon EMR — 3 operation(s) for emr managed scaling policy.

Amazon EMR Emr Notebook Execution API

The Emr Notebook Execution API from Amazon EMR — 4 operation(s) for emr notebook execution.

Amazon EMR Emr Operations API

The Emr Operations API from Amazon EMR — 26 operation(s) for emr operations.

Amazon EMR Emr Security Configuration API

The Emr Security Configuration API from Amazon EMR — 4 operation(s) for emr security configuration.

Amazon EMR Emr Session API

The Emr Session API from Amazon EMR — 3 operation(s) for emr session.

Amazon EMR Emr Step API

The Emr Step API from Amazon EMR — 3 operation(s) for emr step.

Amazon EMR Emr Studio API

The Emr Studio API from Amazon EMR — 5 operation(s) for emr studio.

Amazon EMR Emr Studio Session Mapping API

The Emr Studio Session Mapping API from Amazon EMR — 5 operation(s) for emr studio session mapping.

Scroll for all 12

Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Amazon EMR API

POSTMAN

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amazon EMR Clusters API

OPEN COLLECTION

Amazon EMR API

OPEN COLLECTION

Arazzo Workflows 6

Multi-step API workflows described with the Arazzo specification.

Amazon EMR Launch a Cluster With Processing Steps

Create a cluster and queue processing steps to run as soon as it starts.

ARAZZO

Amazon EMR Launch a Hadoop and Hive Cluster

Create an EMR cluster with the Hadoop and Hive applications installed.

ARAZZO

Amazon EMR Launch an HBase Cluster

Create an EMR cluster with the Apache HBase application installed.

ARAZZO

Amazon EMR Launch a Presto Query Cluster

Create an EMR cluster with the Presto application for interactive SQL.

ARAZZO

Amazon EMR Launch a Spark Cluster

Create and start a new EMR cluster pre-configured to run Apache Spark.

ARAZZO

Amazon EMR Run a Spark ETL Job

Launch a Spark cluster and queue an ETL processing step in one call.

ARAZZO

Amazon EMR API pricing

Prices published by Amazon EMR, read 2026-10-28 from aws.amazon.com/emr/pricing/.

Plan	Price
Amazon EKS cluster additional charge	$0.10 per hour per Amazon EKS cluster per hour
EMR WAL write/read requests (example, US East N. Virginia)	$0.0883 per GiB per GiB of EMR WAL requests
EMR WAL usage (example)	$0.0018 per WAL per Hour per WAL per hour
EMR Serverless vCPU (example)	$0.052624 per vCPU-hour
EMR Serverless memory (example)	$0.0057785 per GB-hour
EMR on EKS uplift vCPU (example)	$0.007084 per vCPU-hour

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Amazon EMR's documentation. All 5 limits →

Billed by: vcpu-hour · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Emr Plans Pricing

6 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Emr Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Amazon EMR

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Emr Finops

FINOPS

Features 5

Notable capabilities this provider offers.

Apache Spark Support

Run Apache Spark jobs for large-scale data processing and machine learning

Auto Scaling

Automatically adjust cluster size based on workload demand

Spot Instance Integration

Use EC2 Spot instances to reduce costs up to 90%

EMR Serverless

Run analytics without provisioning or managing clusters

Studio Notebooks

Develop and debug jobs using EMR Studio Jupyter notebooks

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Emr Context

0 classes · 2 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon EMR — jsonschema rules

5 rules · 3 warnings 2 info

SPECTRAL

Amazon EMR API Rules

21 rules · 10 errors 10 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

Amazon EMR Cluster

9 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Amazon Emr Structure

9 properties

JSON STRUCTURE

Examples 1

Example request and response payloads for these APIs.

Amazon Emr Example

9 fields

EXAMPLE

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Emr Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Emr Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Emr Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amazon Emr Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Use Cases 4

What developers build with this provider.

ETL Data Processing

Extract, transform, and load large datasets across data lakes and warehouses

Machine Learning

Train machine learning models on large datasets using Spark MLlib

Log Analytics

Process and analyze application logs at petabyte scale

Financial Risk Analysis

Run Monte Carlo simulations and risk models on large datasets

Integrations 4

Pre-built integrations with other platforms and tools.

Amazon S3

Use S3 as data lake storage for EMR clusters

AWS Glue

Integrate with Glue Data Catalog for metadata management

Amazon Athena

Query data processed by EMR using Athena SQL

Amazon SageMaker

Hand off processed data to SageMaker for model training

Resources

Get Started 5

Portal, sign-up, and the first successful call

Portal

DeveloperPortal

Console

Signup

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

Scroll for all 8

Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Compliance

Compliance

Security

Security

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 6

Status, limits, changes, and where to get help

RateLimits

StatusPage

Support

FAQ

StackOverflow

Contact

Commercial 4

Pricing, plans, and the legal terms of use

Plans

FinOps

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

KnowledgeCenter

KnowledgeCenter

Source (apis.yml)

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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
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: '2026-09-16'
specificationVersion: '0.23'
tags:
- Amazon Web Services
- Analytics
- Apache Spark
- Big Data
- Data Processing
- Hadoop
tags_raw:
- Amazon Web Services
- Analytics
- Apache Spark
- AWS
- Big Data
- Data Processing
- Hadoop
apis:
- aid: amazon-emr:amazon-emr-clusters-api
  name: Amazon EMR Clusters API
  description: Operations for creating, managing, and terminating EMR clusters
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Cluster
  tags_raw:
  - Clusters
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-clusters-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/emr/latest/ManagementGuide/
  - 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
- aid: amazon-emr:amazon-emr-auto-termination-policy-api
  name: Amazon EMR Emr Auto Termination Policy API
  description: The Emr Auto Termination Policy API from Amazon EMR — 3 operation(s) for emr auto termination policy.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Auto Termination Policy
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-auto-termination-policy-api-openapi.yml
- aid: amazon-emr:amazon-emr-instance-fleet-api
  name: Amazon EMR Emr Instance Fleet API
  description: The Emr Instance Fleet API from Amazon EMR — 3 operation(s) for emr instance fleet.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Instance Fleet
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-instance-fleet-api-openapi.yml
- aid: amazon-emr:amazon-emr-instance-group-api
  name: Amazon EMR Emr Instance Group API
  description: The Emr Instance Group API from Amazon EMR — 3 operation(s) for emr instance group.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Instance Group
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-instance-group-api-openapi.yml
- aid: amazon-emr:amazon-emr-managed-scaling-policy-api
  name: Amazon EMR Emr Managed Scaling Policy API
  description: The Emr Managed Scaling Policy API from Amazon EMR — 3 operation(s) for emr managed scaling policy.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Managed Scaling Policy
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-managed-scaling-policy-api-openapi.yml
- aid: amazon-emr:amazon-emr-notebook-execution-api
  name: Amazon EMR Emr Notebook Execution API
  description: The Emr Notebook Execution API from Amazon EMR — 4 operation(s) for emr notebook execution.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Notebook Execution
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-notebook-execution-api-openapi.yml
- aid: amazon-emr:amazon-emr-operations-api
  name: Amazon EMR Emr Operations API
  description: The Emr Operations API from Amazon EMR — 26 operation(s) for emr operations.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Operations
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-operations-api-openapi.yml
- aid: amazon-emr:amazon-emr-security-configuration-api
  name: Amazon EMR Emr Security Configuration API
  description: The Emr Security Configuration API from Amazon EMR — 4 operation(s) for emr security configuration.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Security Configuration
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-security-configuration-api-openapi.yml
- aid: amazon-emr:amazon-emr-session-api
  name: Amazon EMR Emr Session API
  description: The Emr Session API from Amazon EMR — 3 operation(s) for emr session.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Session
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-session-api-openapi.yml
- aid: amazon-emr:amazon-emr-step-api
  name: Amazon EMR Emr Step API
  description: The Emr Step API from Amazon EMR — 3 operation(s) for emr step.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Step
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-step-api-openapi.yml
- aid: amazon-emr:amazon-emr-studio-api
  name: Amazon EMR Emr Studio API
  description: The Emr Studio API from Amazon EMR — 5 operation(s) for emr studio.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Studio
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-studio-api-openapi.yml
- aid: amazon-emr:amazon-emr-studio-session-mapping-api
  name: Amazon EMR Emr Studio Session Mapping API
  description: The Emr Studio Session Mapping API from Amazon EMR — 5 operation(s) for emr studio session mapping.
  humanURL: https://aws.amazon.com/emr/
  baseURL: https://elasticmapreduce.amazonaws.com
  tags:
  - Emr Studio Session Mapping
  properties:
  - type: OpenAPI
    url: openapi/amazon-emr-studio-session-mapping-api-openapi.yml
common:
- type: CapabilityMap
  url: capabilities/amazon-emr-capability-edges.yml
  name: Amazon EMR Business Capability Map
- type: Plans
  url: plans/amazon-emr-plans-pricing.yml
- type: RateLimits
  url: rate-limits/amazon-emr-rate-limits.yml
- type: FinOps
  url: finops/amazon-emr-finops.yml
- type: Website
  url: https://aws.amazon.com/emr/
- type: AgenticAccess
  url: agentic-access/amazon-emr-agentic-access.yml
- type: TrustCenter
  url: security/amazon-emr-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-emr-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-emr-domain-security.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-emr/overview
- type: Arazzo
  url: arazzo/amazon-emr-run-cluster-with-steps-workflow.yml
  name: Amazon EMR Launch a Cluster With Processing Steps
- type: Arazzo
  url: arazzo/amazon-emr-run-hadoop-hive-cluster-workflow.yml
  name: Amazon EMR Launch a Hadoop and Hive Cluster
- type: Arazzo
  url: arazzo/amazon-emr-run-hbase-cluster-workflow.yml
  name: Amazon EMR Launch an HBase Cluster
- type: Arazzo
  url: arazzo/amazon-emr-run-presto-query-cluster-workflow.yml
  name: Amazon EMR Launch a Presto Query Cluster
- type: Arazzo
  url: arazzo/amazon-emr-run-spark-cluster-workflow.yml
  name: Amazon EMR Launch a Spark Cluster
- type: Arazzo
  url: arazzo/amazon-emr-run-spark-etl-job-workflow.yml
  name: Amazon EMR Run a Spark ETL Job
- 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: kin@apievangelist.com
x-parent: amazon-web-services
x-relationship: product

Amazon EMR API — frequently asked questions

Does Amazon EMR have an API?

Yes. APIs.io lists 12 APIs from Amazon EMR, including Amazon EMR Clusters API, Amazon EMR Emr Auto Termination Policy API and Amazon EMR Emr Instance Fleet API, and 9 more.

Is there an OpenAPI specification for the Amazon EMR API?

Yes. APIs.io indexes 12 OpenAPI specifications for Amazon EMR, each linked for download from this page.

How do I authenticate with the Amazon EMR API?

Amazon EMR uses bearer-token authentication.

How much does the Amazon EMR API cost?

Amazon EMR publishes its prices; its Amazon EKS cluster additional charge plan is $0.10 per hour per Amazon EKS cluster per hour as of 2026-10-28. APIs.io lists 6 pricing plans for Amazon EMR, with each plan's price, limits and inclusions under Pricing on this page.

Is the Amazon EMR API ready for AI agents?

Amazon EMR has a Kin Score of 62.5 out of 100 (strong) and an Agent Readiness score of 38.6 (agent-ready), scored by API Evangelist on 2026-11-06.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/amazon-emr"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/amazon-emr/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/amazon-emr/evidence"

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