
Top 10 Hortonworks Data Platform Alternatives 2026
Empower your big data with HDP.
Main Features
- Access Control
- Authentication
- Data Security
- Master Data Management
Hortonworks Data Platform is a Data Science and Machine Learning Platforms platform with a user rating of 4.2★ based on 10 reviews. Teams looking for alternatives typically need better pricing flexibility, easier deployment, or a closer feature fit for their specific use case. Below you'll find 10 vetted Data Science and Machine Learning Platforms alternatives ranked by user rating, with filters to narrow by pricing, platform, and features — so you can find the right fit for 2026.
Hortonworks Data Platform vs Top Alternatives at a Glance
Side-by-side comparison of pricing, user rating, and free trial availability to help you decide faster.
| Tool | Best For | Pricing | Rating | Free Option |
|---|---|---|---|---|
| Data Science and Machine Learning Platforms | — | 4.2 ★ | ✗ No | |
| Data Science and Machine Learning Platforms | — | 4.7 ★ | ✗ No | |
| Data Science and Machine Learning Platforms | $0.04 | 4.3 ★ | ✗ No | |
| Data Science and Machine Learning Platforms | Custom pricing | 4.7 ★ | ✗ No | |
| Data Science and Machine Learning Platforms | $20 | 4.8 ★ | ✓ Yes | |
| Data Science and Machine Learning Platforms | Free plan available | 4.3 ★ | ✓ Yes |
Showing 1-10 out of 10

List of the Top Hortonworks Data Platform alternatives as of October 2026
Compare business software, products, and services to find the best solution for your business or organization. Use the filters on the left to drill down by category, pricing, features, market segment, user ratings, and more.

Apache Beam — 4.7★
Streamline your data processing with Apache Beam.
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What is Apache Beam?
Apache Beam is an advanced open-source unified programming model, specifically designed for defining both batch and streaming data-parallel processing pipelines. It supports data sets of any size, brings the advantage of the same unified programming model, even to runners with different ...
Read moreWhat reviewers like about Apache Beam
- Unified programming model
- Batch and streaming support
- Flexible data processing
Where Apache Beam falls short
- Steep learning curve
- Limited community support
- Performance can vary
Common Features
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Data Security
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Master Data Management
Unique Features
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Data Analysis
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Data Migration
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Data Quality Control

Amazon EMR — from $0.04 · 4.33★
Unleash Your Big Data Potential on the Cloud.
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What is Amazon EMR?
Introducing Amazon EMR, the leading big data platform in the cloud. With a powerful combination of open-source tools such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto, EMR makes it easy to process large amounts of data. Plus, it automatically configures EC2 firewall settings and ...
Read moreWhat reviewers like about Amazon EMR
- Ease of launching or cloning EMR clusters and scaling based on various parameters like containers, CPU, etc.
- Supports widely used applications like Spark, Hive, Hadoop, Flink, etc.
- Provides easy configuration control and debugging support.
Where Amazon EMR falls short
- Working with Spot instances can be complicated, especially during unavailability.
- Lack of features like auto-completion in the notebook interface.
- Troubleshooting incidents without proper support can be challenging.
Common Features
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Data Security
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Access Control
Unique Features
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Machine Learning
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Data Analysis
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Auto Scaling
Pricing
Starts from $0.04/hour
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Infor Data Lake — 4.67★
Unlock insights from big data with Infor Data Lake.
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What is Infor Data Lake?
Gain unparalleled business insights from the immense power of big data with Infor Data Lake. This cutting-edge platform provides a comprehensive and flexible framework for quickly consuming disparate data sources, such as applications, people, and IoT infrastructure. With schema-on-read ...
Read moreWhat reviewers like about Infor Data Lake
- Comprehensive data integration
- Scalable architecture
- Flexible data access
Where Infor Data Lake falls short
- Complex setup process
- Requires technical expertise
- Potentially high costs
Common Features
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Data Security
Unique Features
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Machine Learning
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Metadata Management
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Analytics
+ 1 more
Pricing
Infor Data Lake offers custom pricing plan

BigML — from $20 · 4.78★
Powerful models, simplified for all stakeholders.
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What is BigML?
BigML is an advanced machine learning platform that makes it incredibly simple to access powerful algorithms and predictive models, quickly and easily. Our cloud and on-premises service is seamless to integrate, allowing you to set up an easy-to-use web interface and REST APIs in just seconds. ...
Read moreWhat reviewers like about BigML
- Easy access to algorithms
- Interactive visualization
- Collaborative platform
Where BigML falls short
- Limited advanced analytics
- May require internet access
- Not suitable for large datasets
Common Features
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Data Security
Unique Features
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Data Privacy
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Templates
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Collaboration
+ 2 more
Pricing
Starts from $20/Month when Billed Yearly, also offers free forever plan

Amazon SageMaker — 4.28★
Streamline your machine learning journey effortlessly.
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What is Amazon SageMaker?
Amazon SageMaker is an integrated platform designed to reduce the time and effort expended in the development of machine learning models. It provides a single web-based interface enabling users to quickly upload their data, tune and train models, compare results, and move their finished models ...
Read moreWhat reviewers like about Amazon SageMaker
- Streamlines ML model development
- Single web-based interface
- Autopilot feature for automation
Where Amazon SageMaker falls short
- Can be expensive for small projects
- Requires cloud infrastructure
- Learning curve for new users
Common Features
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Data Security
Unique Features
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Transparency Tool
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Data Privacy
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Labeling
+ 2 more

BasicAI — 4.26★
Empower your AI operations with BasicAI.
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What is BasicAI?
BasicAI provides an unified platform to collect AI/ML data either as a cloud-based SaaS or on-premises licensed software. Reduce workload managing labels with managed services, independently controlling your personnel, or combining both solutions. Experience the power of our platform for ...
Read moreWhat reviewers like about BasicAI
- Unified AI/ML platform
- Flexible deployment options
- Managed services available
Where BasicAI falls short
- Complex setup process
- May require technical expertise
- Limited support for beginners
Common Features
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Access Control
Unique Features
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Video Annotations
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Drag and Drop Editor
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Vendor Management
+ 7 more
Pricing
Free Trial available
BasicAI offers custom pricing plan

Gigasheet — from $20 · 4.88★
Effortlessly navigate big data insights.
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What is Gigasheet?
Gigasheet is your go-to cloud-based big data spreadsheet. It's easy to access insights from massive amounts of data with just a few clicks! Start taking advantage of 10GB of storage for free. Selecting a SaaS platform or database is a breeze with Gigasheet's compatibility with 135+ options — ...
Read moreWhat reviewers like about Gigasheet
- Cloud-based accessibility
- Supports large data sets
- Easy collaboration
Where Gigasheet falls short
- Limited to 10GB free storage
- May require learning curve
- Performance may vary with data size
Common Features
No common features
Unique Features
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Data Analysis
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Templates
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Reporting
+ 3 more
Pricing
Starts from $20/Month, also offers free forever plan

Saturn Cloud — 4.82★
Revolutionize data science with collaborative cloud computing.
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What is Saturn Cloud?
Saturn Cloud is a cloud platform for data science teams that supports Python and R within a shared workspace. Teams can run scheduled jobs, manage deployments, and collaborate on analyses without building or maintaining their own infrastructure, with resources that scale to match workload demands.
Read moreWhat reviewers like about Saturn Cloud
- Generous free GPU and CPU compute is repeatedly highlighted as great value for ML and data science work.
- The platform is easy to use, making it accessible to beginners and experts alike.
- It streamlines ML and data science workflows, letting users train and fine-tune models quickly.
Where Saturn Cloud falls short
- Some reviewers note that initial setup can be time-consuming.
Common Features
No common features
Unique Features
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Machine Learning
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Collaboration
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Scheduling
+ 2 more
Pricing
Saturn Cloud offers custom pricing plan

TensorFlow — 4.9★
Transform your machine learning projects with TensorFlow.
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What is TensorFlow?
TensorFlow is Google's open-source machine learning platform for building and deploying ML models. It supports distributed training across multiple machines, integrates with Keras for model development, and includes TensorBoard and Model Analysis tools for monitoring training progress. The TFX ...
Read moreWhat reviewers like about TensorFlow
- It handles very large, terabyte-scale datasets efficiently for machine learning and deep learning.
- Google integrations and cloud platform support make deployment fast and easy.
- It is versatile and robust, serving developers, data scientists, and researchers alike.
Where TensorFlow falls short
- The learning curve is steep and the tool can be hard to get into initially.
- It can run slower than similar tools and is less suited to mobile applications.
Common Features
No common features
Unique Features
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Machine Learning
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Monitoring
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Lifecycle Management
+ 2 more

Playment — 4.73★
Efficiently annotate and innovate with GT Studio.
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What is Playment?
Playment's GT Studio is a no-code data labeling infrastructure allowing ML teams to quickly and cost-effectively build diverse, high-quality ground truth datasets. It eliminates any operational inefficiency by providing ML-assisted annotation tools and workflow management software. Streamline ...
Read moreWhat reviewers like about Playment
- No-code data labeling
- ML-assisted annotation tools
- Streamlined workflow processes
Where Playment falls short
- Limited customization options
- May require initial setup time
- Not suitable for non-ML teams
Common Features
No common features
Unique Features
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Text Annotation
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Video Annotations
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Annotation and Markup Tools
+ 1 more
Pricing
Playment offers custom pricing plan
Hortonworks Data Platform vs its closest competitors
Buyers comparing Hortonworks Data Platform usually weigh it against these 10 data science and machine learning platforms competitors, starting with Apache Beam, Amazon EMR and Infor Data Lake. Each is compared against Hortonworks Data Platform on rating, pricing and feature coverage below.
Sites and apps like Hortonworks Data Platform
Searches for "sites like Hortonworks Data Platform" and "apps like Hortonworks Data Platform" land on the same set of options as "Hortonworks Data Platform alternatives" — the 10 options below cover both, whether you want a like-for-like replacement or something lighter.
What each Hortonworks Data Platform alternative is best known for
Ease of launching or cloning EMR clusters and scaling based on various parameters like containers, CPU, etc.
Watch for: Working with Spot instances can be complicated, especially during unavailability.
Comprehensive data integration
Watch for: Complex setup process
Streamlines ML model development
Watch for: Can be expensive for small projects
Cloud-based accessibility
Watch for: Limited to 10GB free storage
Generous free GPU and CPU compute is repeatedly highlighted as great value for ML and data science work.
Watch for: Some reviewers note that initial setup can be time-consuming.
It handles very large, terabyte-scale datasets efficiently for machine learning and deep learning.
Watch for: The learning curve is steep and the tool can be hard to get into initially.
Why teams look for a Hortonworks Data Platform alternative
Teams looking past Hortonworks Data Platform often cite reasons like these:
- Complex setup
- Requires technical expertise
- Performance may vary
- Limited support for non-technical users
How to find the right Hortonworks Data Platform replacement
The quick comparison across all 10 alternatives: 6 offer a free tier; and TensorFlow is the highest rated at 4.9★ across 20 reviews.
How each tool earns its spot.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
