Cloudera alternatives: top competitors compared
Cloudera has a visibility score of 1 in Data Warehouse, #25 of 39. AI answers that name Cloudera most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Amazon Redshift | — | — | 40.5% | — |
| AWS | — | — | 35.7% | Syncs Figma components into generated code and provisions AWS backend services through a visual interface. |
| Microsoft Fabric | Teams that run analytics on Microsoft Fabric and want machine learning integrated with it | — | 18.9% | Machine learning integrated with Fabric's analytics workloads rather than a separate ML platform |
| Snowflake | Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations | Contact sales | 68.6% | Agents such as CoWork and CoCo work on governed enterprise data inside Snowflake's security perimeter, reusing existing access controls and catalog context |
Amazon Redshift
Amazon Redshift is ranked #3 in Data Warehouse.
Quick facts
- Pricing not available
- 40.5% visibility score · #3 in Data Warehouse
Key features
- Amazon Redshift Provisioned — Cluster-based deployment where the buyer chooses node types and size; list price starts at $0.543 per hour.
- Amazon Redshift Serverless — Deployment where capacity scales automatically; list price starts at $1.50 per hour.
- Amazon Redshift Spectrum — Lets users query data in Amazon S3 without loading it first.
Amazon Redshift vs Cloudera
| Dimension | Amazon Redshift | Cloudera |
|---|---|---|
| Visibility score | 40.5% | 1% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Petabyte-scale, fully managed data warehouse service
- Deep integration with AWS services like S3, IAM, and existing AWS operations
- Reserved pricing can cut compute costs substantially for committed use
- Free trial with Redshift Serverless or node-hour allowance
- Widely shortlisted as a leading cloud data warehouse
Cons
- Requires capacity and cost management, and bills can be hard to predict
AWS
AWS is ranked #4 in MLOps Platforms.
Quick facts
- Pricing not available
- 35.7% visibility score · #4 in MLOps Platforms
Key features
- Amplify Studio — Visual low-code tool that syncs Figma components, generates JavaScript or TypeScript UI code and provisions AWS backend services.
AWS vs Cloudera
| Dimension | AWS | Cloudera |
|---|---|---|
| Visibility score | 35.7% | 1% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
- Deep integration with the AWS ecosystem and AI tools
- Recognised by analysts such as Gartner and ISG
Cons
- Requires strong AWS engineering or technical expertise
Microsoft Fabric
Microsoft Fabric suits teams that run analytics on Microsoft Fabric and want machine learning integrated with it.
Quick facts
- Pricing not available
- 18.9% visibility score · #7 in Data Warehouse
Key features
- Fabric data science — Spark notebooks, MLflow experiment tracking, a model registry and AutoML, with batch scoring that writes predictions to Delta tables.
- Cross-workspace MLflow logging — Lets teams train in dev, validate in test and deploy to production workspaces using standard MLflow APIs.
Microsoft Fabric vs Cloudera
| Dimension | Microsoft Fabric | Cloudera |
|---|---|---|
| Visibility score | 18.9% | 1% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Native integration with Power BI and the Microsoft stack
- Integrated analytics platform
- Free trial with no credit card required
- Good starting point for beginners
Cons
Snowflake
Snowflake suits enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations.
Quick facts
- Contact sales · usage-based
- 68.6% visibility score · #1 in Data Warehouse
Key features
- Snowflake CoWork — Enterprise agent for knowledge workers, formerly Snowflake Intelligence, for analysis, automation and action on governed data.
- Snowflake CoCo — Governed AI coding agent for building data pipelines, analytics, ML models, apps and agents.
- Cortex AI — Services for securely creating and deploying LLMs and ML models customized with your data.
- Openflow — Managed data integration service built on Apache NiFi.
Snowflake vs Cloudera
| Dimension | Snowflake | Cloudera |
|---|---|---|
| Visibility score | 68.6% | 1% |
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | No | — |
| Trial | — | — |
Pros
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
- Free trial with usage credits for easy getting started
- Widely adopted, most popular cloud data warehouse
- Strong for enterprise governance, high concurrency and workload isolation
Cons
- Unoptimized queries can rack up a surprisingly high bill
- Consumption pricing and credit usage are hard to predict
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Cloudera | — | — |
| Amazon Redshift | — | — |
| AWS | — | — |
| Microsoft Fabric | — | — |
| Snowflake | Usage-based | Contact sales |
More alternatives
Ranked by how often AI answers name them alongside Cloudera in the latest weekly run.