Sold by: Cloudera
Deployed on AWS
An enterprise data cloud that manages, secures and connects the data lifecycle in AWS.
Cloudera delivers powerful self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granular security and governance policies that IT and data leaders demand.
4.2
Overview
Cloudera on AWS is an enterprise data platform that is easy to deploy, manage, and use. By simplifying operations, Cloudera reduces the time to onboard new use cases. Cloudera manages data in any environment, including multiple public clouds, private cloud, and hybrid cloud. With Cloudera's Shared Data Experience (SDX), IT can confidently deliver secure and governed analytics running against data anywhere. Cloudera is a new approach to enterprise data, running anywhere from the Edge to AI.
Cloudera on AWS delivers easy-to-use analytics that support the most complex, demanding use cases
Complete: All functions needed to ingest, transform, query, optimize, and make predictions from data are available, eliminating the need for point products
Integrated: Unified analytic functions work together eliminating data silos and copies of data
Cloudera SDX technologies ensures and enterprise data cloud is secure by design:
Consistency: Security and governance policies are set once and applied across all data and workloads
Portability: Policies stay with the data even as it moves across all supported infrastructures
Pricing: Use of Cloudera on AWS requires a prepay commitment (in dollars) of cloud credits. For more information on usage rates and instance types, see cloudera.com/products/pricing.html.
You may use the platform until your commitment is consumed (used against prepaid commitment amount), any additional usage beyond the prepaid commitment will require negotiation with Cloudera for the purchase of additional prepaid credits.
Highlights
- Provides elasticity, agility, and ease of use for hybrid and public cloud by intelligently autoscaling workloads up and down for more cost-effective use of cloud infrastructure. Consistent user experience makes it faster and easier to analyze data.
- Optimizes the data lifecycle with multi-function analytics that solves demanding business use cases. Cloudera on AWS is composed of three primary services with a standardized user experience: Data Warehouse, Machine Learning and Data Hub for custom analytics.
- Ensures all workloads on the platform share common security, governance, and metadata. Users can efficiently find, curate, and share data, enabling self-service access to trusted data and analytics
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Cloudera | Subscription Cloudera on AWS | $50,000.00 |
Dimension | Cost/unit |
|---|---|
Consumption by Customer based on Cloud usage | $0.01 |
Dimensions summary
This listing uses a contract pricing model with two dimensions. The Cloudera subscription dimension covers your commitment to the platform on AWS. The consumption dimension charges you based on actual cloud usage. Usage is measured in Cloudera Compute Units, which combine core and memory. This means your costs scale with how much you run, on top of the subscription. The two dimensions work together: one anchors your commitment, and the other tracks variable usage. Infrastructure, networking, and related cloud costs are billed separately and are not included in these units.
Top-of-mind questions for buyers
A CCU is a combined measure of processor cores and memory used by a service. You are billed per CCU based on how much you run. The exact CCU rate can vary by the instance types your workload uses. This unit tracks compute, not the workload's data volume.
The CCU rates cover Cloudera software only. Underlying infrastructure, networking, and other related cloud costs are not included in these units. Those charges depend on the AWS services you choose and are billed separately from your Cloudera consumption and subscription.
Both charges apply at the same time. The Cloudera subscription anchors your platform commitment on AWS. The consumption dimension adds variable charges measured in CCUs as you run workloads. Your consumption cost rises and falls with actual usage, while the subscription stays with your commitment.
www.cloudera.com
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Cloudera
By Databricks, Inc.
By Teradata
Top
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In Data Analysis
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10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
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In Business Intelligence
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Workload Auto-scaling
Intelligently autoscales workloads up and down across hybrid and public cloud environments for optimized cloud infrastructure utilization.
Multi-function Analytics Platform
Provides integrated data warehouse, machine learning, and custom analytics capabilities with unified analytic functions to eliminate data silos.
Shared Data Experience (SDX)
Implements security and governance policies that are set once and applied consistently across all data and workloads, with portability across supported infrastructures.
Data Lifecycle Management
Manages complete data lifecycle functions including ingestion, transformation, querying, optimization, and predictive analytics across multiple cloud environments.
Unified Security and Governance
Ensures all workloads share common security, governance, and metadata with capabilities for data discovery, curation, and self-service access controls.
Lakehouse Architecture
Unified data foundation built on lakehouse architecture providing open, unified foundation for data and governance with support for open standards and formats
Data Intelligence Engine
Powered by Data Intelligence Engine that enables organization-wide access to data and insights across all users and roles
Multi-Workload Unification
Consolidates data engineering, analytics, business intelligence, data science and machine learning workloads on a single common platform
Collaborative Development Environment
Native collaboration capabilities enabling data teams to collaborate across entire data and AI workflow
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability with existing data ecosystems
Native Object Store Capabilities
Native Object Store (NOS) Read/Write functionality enabling direct interaction with object store data
Multi-Cloud Analytics Platform
Connected multi-cloud data platform supporting full integration with SQL, Python, R languages and data sources including object stores and HDFS
Advanced Analytics Functions
4D analytics, nPath, sessionization, attribution, and scoring capabilities for descriptive, diagnostic, predictive, and prescriptive analytics
Amazon S3 Integration
Direct integration with Amazon S3 for backup, restore, and optional direct querying of object store data
Included Management Tools
Rights to use Teradata Data Stream Controller, Ecosystem Manager, Query Service, Server Management, and Viewpoint tools with Premier Cloud Support
Standard contract
No
No
No
Customer reviews
Arun M.
Great, Innovative Solution
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
Great platform for hosting my tech ecosystem and AI solutions
What do you dislike about the product?
More capabilities on cloud since most of my data is on cloud
What problems is the product solving and how is that benefiting you?
great platform to host my systems
Banking
Versatile All-in-One Platform, but the Interface and Load Times Need Work
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
one platform served anything essentials in data engineering
What do you dislike about the product?
interface less user friendly, long loading time
What problems is the product solving and how is that benefiting you?
big data pricessing
Tushar G.
Cloudera: A Next-Gen Data, Cloud, and AI Platform That Works Anywhere
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
Cloudera is a next-generation platform for data, cloud, and AI solutions that work anywhere.
What do you dislike about the product?
Nothing specific to point out—everything is great.
What problems is the product solving and how is that benefiting you?
Big data platform. It provides a centrally governed foundation for key banking workloads.
Banking
All-in-One Data Engineering and ML Ecosystem
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how it provides an all-in-one ecosystem for data engineering and machine learning
What do you dislike about the product?
Setting up and running the ecosystem is notoriously heavy, especially if you are deploying on-premises.
What problems is the product solving and how is that benefiting you?
Cloudera is primarily designed to eliminate the friction, security risks, and high costs associated with managing fragmented, large-scale data ecosystems across multi-cloud and on-premises environments.
mohan t.
Streamlined Migration, Excellent Usability
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I like that Cloudera allows organizations to leverage modern platforms to run legacy workloads, which helps in getting out of SAS licenses, hardware, and maintenance. I enjoy the idea of 'Cloudera anywhere,' where models can utilize Cloudera data anywhere after migrating from SAS. The initial setup was very easy, which is a big plus for me.
What do you dislike about the product?
I feel like Cloudera is a bit late in the AI and unified data market. Other tech companies had oriented themselves towards these areas a few years earlier than Cloudera did.
What problems is the product solving and how is that benefiting you?
Cloudera allows us to run legacy SAS workloads on a modern platform, helping customers move away from costly SAS licenses, hardware, and maintenance.