# Best Data Science and Machine Learning Platforms - Page 2

## How Many Data Science and Machine Learning Platforms Products Does G2 Track?

**Total Products under this Category:** 1,043

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Data Science and Machine Learning Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 14,200+ Authentic Reviews
- 1,043+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Data Science and Machine Learning Platforms
 ![G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=10938&focus%5B%5D=67045&focus%5B%5D=24457&focus%5B%5D=1308796&focus%5B%5D=162504)

Highlighted products: Databricks, Gemini Enterprise Agent Platform, SAS Viya, Snowflake, Google Cloud AutoML, MATLAB, IBM watsonx.data, and Hex.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=snowflake&focus%5B%5D=google-cloud-automl&focus%5B%5D=matlab&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=hex-tech-hex)

**Sponsored**

### Smartsheet

Smartsheet is an Intelligent Work Management Platform that revolutionizes how you manage projects, portfolios, and processes. The Smartsheet AI-powered platform delivers adaptability, sophisticated experiences, and enterprise-grade rigor to support work across industries — from service delivery to construction, clinical trials, and marketing campaigns. Designed to meet demanding requirements, it helps organizations drive efficiency, accelerate innovation, and stay competitive. Over 85% of Fortune 500 companies trust Smartsheet to align their resources to improve efficiency, agility, and collaboration in today’s ever-changing world of work.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=692&secure%5Bchosen_at%5D=2026-08-09T09%3A43%3A16Z&secure%5Bdisplayable_resource_id%5D=2360&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=530&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=530&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%3FhsCtaTracking%3De3fe859b-0d36-4cf8-85cf-2151a5747412%257C0a9149f6-4ddb-4dc0-a892-b48cdaf4aa2d%26page%3D2&secure%5Btoken%5D=48de7b4d4d4ab61612b19b8a27f208e304815e0b8ef65ba56133df2f8d9740f1&secure%5Burl%5D=https%3A%2F%2Fwww.smartsheet.com%2Fs%2Fproject-management%3Futm_source%3DG2%26utm_medium%3Daffiliate%26utm_campaign%3Daff-pm-us-ca-g2&secure%5Burl_type%5D=custom_url)

### [Google Cloud AI Hub](https://www.g2.com/products/google-cloud-ai-hub/reviews)

Google Cloud’s Artificial Intelligence (AI) Hub is a catalog of plug-and-play AI components, including end-to-end AI pipelines and out-of-the-box algorithms.

**Average Rating:** 4.4/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate Google Cloud AI Hub?

- **Application:** 8.5/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.9/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Google Cloud AI Hub?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 50% Large, 27% Small

#### What Are Recent G2 Reviews of Google Cloud AI Hub?

**["A Plug-and-Play AI Hub That Speeds Up Model Deployment and Team Collaboration"](https://www.g2.com/survey_responses/google-cloud-ai-hub-review-13197523)**

**Rating:** 4.5/5.0 stars

_— Bilal M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-hub-review-13197523)

**["Centralized AI Asset Hub That Streamlines Collaboration and Scaling"](https://www.g2.com/survey_responses/google-cloud-ai-hub-review-13222733)**

**Rating:** 4.5/5.0 stars

_— Subhashree S._

[Read full review](https://www.g2.com/survey_responses/google-cloud-ai-hub-review-13222733)

#### What Are G2 Users Discussing About Google Cloud AI Hub?

- [What is Google Cloud AI Hub used for?](https://www.g2.com/discussions/what-is-google-cloud-ai-hub-used-for) - 1 comment

### [TensorFlow](https://www.g2.com/products/tensorflow/reviews)

TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platforms. It provides a comprehensive ecosystem that supports tasks ranging from simple data flow graphs to complex neural networks, enabling developers and researchers to build and deploy machine learning applications efficiently. Key Features and Functionality: - Flexible Architecture: TensorFlow's architecture allows for deployment across multiple platforms, including CPUs, GPUs, and TPUs, and supports various operating systems such as Linux, macOS, Windows, Android, and JavaScript. - Multiple Language Support: While primarily offering a Python API, TensorFlow also provides support for other languages, including C++, Java, and JavaScript, catering to a diverse developer community. - High-Level APIs: TensorFlow includes high-level APIs like Keras, which simplify the process of building and training models, making machine learning more accessible to beginners and efficient for experts. - Eager Execution: This feature allows for immediate evaluation of operations, facilitating intuitive debugging and dynamic graph building. - Distributed Computing: TensorFlow supports distributed training, enabling the scaling of machine learning models across multiple devices and servers without significant code modifications. Primary Value and Solutions Provided: TensorFlow addresses the challenges of developing and deploying machine learning models by offering a unified, scalable, and flexible platform. It streamlines the workflow from model conception to deployment, reducing the complexity associated with machine learning projects. By supporting a wide range of platforms and languages, TensorFlow empowers users to implement machine learning solutions in diverse environments, from research labs to production systems. Its comprehensive suite of tools and libraries accelerates the development process, fosters innovation, and enables the creation of sophisticated models that can tackle real-world problems effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 135

#### How Do G2 Users Rate TensorFlow?

- **Application:** 8.7/10 (Category avg: 8.5/10)
- **Managed Service:** 8.5/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind TensorFlow?

- **Seller:** [TensorFlow](https://www.g2.com/sellers/tensorflow)
- **Year Founded:** 2016
- **HQ Location:** Centre Urbain Nord, TN
- **Twitter:** @TensorFlow  
377,398 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d8bd70a319f380d7eba5465c55d6db7bb5924df26029376484f20084376ef57&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftensorflow-tunis%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 50% Small, 26% Medium

#### What Do G2 Reviewers Say About TensorFlow?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **flexibility and scalability** of TensorFlow for building and deploying machine learning models effectively.
- Users value TensorFlow for its **powerful AI integration** , enabling efficient model training and deployment across various platforms.
- Users find TensorFlow's **ease of use** enhanced by Keras and strong community support for model building.
- Users commend the **model variety** in TensorFlow, facilitating rapid prototyping and flexible deep learning development.
- Users value the **excellent customer support** and community of TensorFlow, enhancing their machine learning project experience.

##### Cons

- Users find TensorFlow's **steep learning curve** difficult, particularly for beginners, making understanding and debugging challenging.
- Users find TensorFlow's **complexity** challenging, especially for beginners and when dealing with GPU optimization issues.
- Users find **learning TensorFlow difficult** , facing challenges with complex concepts and frustrating error messages while debugging.
- Users experience **slow performance** with TensorFlow, especially when experimenting or handling smaller projects, affecting usability.
- Users struggle with **error handling** , finding error messages unclear and debugging TensorFlow challenging, especially for beginners.

#### What Are Recent G2 Reviews of TensorFlow?

**["My go to place to machine learning stuff"](https://www.g2.com/survey_responses/tensorflow-review-11197207)**

**Rating:** 4.5/5.0 stars

_— Leonardo S._

[Read full review](https://www.g2.com/survey_responses/tensorflow-review-11197207)

**["Scalable, Flexible, and Powerful: TensorFlow Boosts Deep Learning Productivity"](https://www.g2.com/survey_responses/tensorflow-review-12523010)**

**Rating:** 5.0/5.0 stars

_— Anbuselvam S._

[Read full review](https://www.g2.com/survey_responses/tensorflow-review-12523010)

#### What Are G2 Users Discussing About TensorFlow?

- [What are the core concepts of TensorFlow?](https://www.g2.com/discussions/what-are-the-core-concepts-of-tensorflow)
- [What is TensorFlow and why it is used?](https://www.g2.com/discussions/what-is-tensorflow-and-why-it-is-used) - 2 comments
- [What are advantages of TensorFlow?](https://www.g2.com/discussions/what-are-advantages-of-tensorflow)
- [What is TensorFlow software used for?](https://www.g2.com/discussions/what-is-tensorflow-software-used-for)

### [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

**Average Rating:** 4.3/5.0

**Total Reviews:** 54

#### How Do G2 Users Rate Amazon SageMaker?

- **Application:** 8.6/10 (Category avg: 8.5/10)
- **Managed Service:** 9.1/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Amazon SageMaker?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 33% Large, 33% Medium

#### What Do G2 Reviewers Say About Amazon SageMaker?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Amazon SageMaker's **ease of use** exceptional, enabling quick adaptation and efficient model training with user-friendly features.
- Users appreciate the **seamless AI integration** of Amazon SageMaker, enhancing the efficiency of the machine learning lifecycle.
- Users appreciate the **superior computing power** of Amazon SageMaker, significantly reducing model training time and enhancing efficiency.
- Users value the **exceptional efficiency** of Amazon SageMaker, significantly reducing model training time and streamlining workflows.
- Users commend the **fast processing** capabilities of Amazon SageMaker, significantly reducing model training time and enhancing usability.

##### Cons

- Users find Amazon SageMaker **expensive** , with complex pricing that leads to unexpected costs for training and deployments.
- Users find the **pricing structure complex** and often face high costs with long training jobs and deployments.
- Users find that the **complexity of pricing** in Amazon SageMaker can lead to unexpected costs and confusion.
- Users note a **steep learning curve** with Amazon SageMaker, particularly for those new to AWS services and setups.
- Users experience a **difficult learning curve** during the initial setup of Amazon SageMaker, which can hinder productivity.

#### What Are Recent G2 Reviews of Amazon SageMaker?

**["Fully Managed End-to-End ML in AWS with Powerful Distributed Training"](https://www.g2.com/survey_responses/amazon-sagemaker-review-12853074)**

**Rating:** 4.0/5.0 stars

_— Hem J._

[Read full review](https://www.g2.com/survey_responses/amazon-sagemaker-review-12853074)

**["End-to-End ML Platform That Streamlines the Full Lifecycle"](https://www.g2.com/survey_responses/amazon-sagemaker-review-13180609)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-sagemaker-review-13180609)

#### What Are G2 Users Discussing About Amazon SageMaker?

- [What is Amazon SageMaker used for?](https://www.g2.com/discussions/what-is-amazon-sagemaker-used-for)
- [Is AWS SageMaker good?](https://www.g2.com/discussions/is-aws-sagemaker-good) - 1 upvote
- [Who uses SageMaker?](https://www.g2.com/discussions/who-uses-sagemaker)
- [How do you use Amazon SageMaker?](https://www.g2.com/discussions/how-do-you-use-amazon-sagemaker)
- [What does Amazon SageMaker do?](https://www.g2.com/discussions/what-does-amazon-sagemaker-do)

### [AWS Trainium](https://www.g2.com/products/aws-trainium/reviews)

Get high performance for deep learning and generative AI training while lowering costs

**Average Rating:** 4.5/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate AWS Trainium?

- **Application:** 8.8/10 (Category avg: 8.5/10)
- **Managed Service:** 8.6/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.9/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind AWS Trainium?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Company Size:** 53% Small, 29% Large

#### What Are Recent G2 Reviews of AWS Trainium?

**["Major Cost Savings with AWS Trainiun—Affordable Model Training"](https://www.g2.com/survey_responses/aws-trainium-review-12711288)**

**Rating:** 5.0/5.0 stars

_— Nitin J._

[Read full review](https://www.g2.com/survey_responses/aws-trainium-review-12711288)

**["Strong Price-Performance and Seamless AWS Neuron Integration for Large-Scale AI Training"](https://www.g2.com/survey_responses/aws-trainium-review-13186121)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/aws-trainium-review-13186121)

### [Wipro Holmes](https://www.g2.com/products/wipro-holmes/reviews)

Wipro HOLMES is an Artificial Intelligence Platform that provide services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, robotics and drones to deliver cognitive enhancement to experience and productivity, accelerate process through automation and at the highest stage of maturity reach autonomous abilities

**Average Rating:** 3.8/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate Wipro Holmes?

- **Application:** 7.1/10 (Category avg: 8.5/10)
- **Managed Service:** 7.9/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.6/10 (Category avg: 8.2/10)
- **Ease of Admin:** 6.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Wipro Holmes?

- **Seller:** [Wipro](https://www.g2.com/sellers/wipro)
- **Year Founded:** 1945
- **HQ Location:** Bangalore
- **Twitter:** @Wipro  
513,142 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=adce053cca2c4dd1415c091cc8807374380705628df78bb510bfa9f9c9a2f0e4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1318%2F&secure%5Burl_type%5D=linkedin_company_website)  
254,638 employees on LinkedIn®
- **Ownership:** WIT

#### Who Uses This Product?

- **Company Size:** 40% Large, 30% Medium

#### What Do G2 Reviewers Say About Wipro Holmes?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **seamless AI integration** of Wipro Holmes, enhancing efficiency and automating processes across platforms effortlessly.
- Users value Wipro Holmes for its **exceptional automation capabilities** , enhancing efficiency and decision-making with minimal human intervention.
- Users value Wipro Holmes for its **superior efficiency** , leveraging AI and automation to streamline processes and enhance productivity.
- Users love the **analysis efficiency** of Wipro HOLMES, enhancing decision-making and streamlining routine tasks effortlessly.
- Users appreciate Wipro Holmes for its **remarkable efficiency enhancement** through AI, automation, and seamless integration capabilities.

##### Cons

- Users suggest enhancing the **user interface for improved intuitiveness** , particularly to assist non-technical team members.
- Users find the **limited customization** options of Wipro Holmes restrictive for tailored solutions and user needs.
- Users note a **steep learning curve** in using advanced features of Wipro Holmes, often needing technical assistance.

#### What Are Recent G2 Reviews of Wipro Holmes?

**["Efficient, Scalable AI with Room for UI Improvement"](https://www.g2.com/survey_responses/wipro-holmes-review-11900962)**

**Rating:** 4.5/5.0 stars

_— Manish A._

[Read full review](https://www.g2.com/survey_responses/wipro-holmes-review-11900962)

**["Wipro Holmes review"](https://www.g2.com/survey_responses/wipro-holmes-review-11065144)**

**Rating:** 4.5/5.0 stars

_— Deepak s._

[Read full review](https://www.g2.com/survey_responses/wipro-holmes-review-11065144)

#### What Are G2 Users Discussing About Wipro Holmes?

- [What is Wipro Holmes used for?](https://www.g2.com/discussions/what-is-wipro-holmes-used-for) - 1 comment

### [Saturn Cloud](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews)

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage ML models with any stack, and give IT security the controls that work for your enterprise. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io

**Average Rating:** 4.8/5.0

**Total Reviews:** 321

#### How Do G2 Users Rate Saturn Cloud?

- **Application:** 9.1/10 (Category avg: 8.5/10)
- **Managed Service:** 9.1/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.1/10 (Category avg: 8.2/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Saturn Cloud?

- **Seller:** [Saturn Cloud](https://www.g2.com/sellers/saturn-cloud)
- **Year Founded:** 2018
- **HQ Location:** New York, US
- **Twitter:** @saturn\_cloud  
3,279 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d7c242c396d7c27229bcc9791d0c1f6612fbe28bd40caa3e2936785d30e5c2d4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsaturn-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
41 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist, Student
- **Top Industries:** Computer Software, Higher Education
- **Company Size:** 82% Small, 12% Medium

#### What Do G2 Reviewers Say About Saturn Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Saturn Cloud, making setup and functionality straightforward and enjoyable.
- Users value the **powerful GPU performance** of Saturn Cloud, enhancing speed and efficiency in data science projects.
- Users praise the **powerful GPU computing resources** of Saturn Cloud, enhancing their project efficiency and ease of use.
- Users appreciate the **setup ease** of Saturn Cloud, enabling quick and convenient access to GPU resources.
- Users commend the **easy integrations** in Saturn Cloud, enhancing convenience for machine learning and big data projects.

##### Cons

- Users find Saturn Cloud's pricing **expensive** , suggesting more affordable plans and options for students or new grads.
- Users experience **complexity issues** with pricing and documentation, which can hinder their initial setup and usage.
- Users find the **poor documentation** frustrating, especially for advanced setups and beginners needing guidance.
- Users find the **difficult setup** of Saturn Cloud to be a significant hurdle before enjoying its benefits.
- Users feel the **insufficient learning resources** hinder their experience, especially for beginners struggling with advanced setups.

#### What Are Recent G2 Reviews of Saturn Cloud?

**["Professional and user friendly"](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)**

**Rating:** 4.5/5.0 stars

_— zahra s._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)

**["Saturn Cloud Boosts Data Science Productivity with Scalable Jupyter, Dask, and GPUs"](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)

### [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews)

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

**Average Rating:** 4.6/5.0

**Total Reviews:** 503

#### How Do G2 Users Rate Altair AI Studio?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.2/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.6/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Altair AI Studio?

- **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7)
- **Company Website:** www.altair.com
- **Year Founded:** 1985
- **HQ Location:** Troy, MI
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc40bf531df2ca2bbac9a40324b3bf94e73c14f7ec2b90b9b64c29defbdba7b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F8323%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,774 employees on LinkedIn®
- **Ownership:** NASDAQ:ALTR

#### Who Uses This Product?

- **Who Uses This:** Student, Data Scientist
- **Top Industries:** Higher Education, Education Management
- **Company Size:** 42% Small, 31% Large

#### What Do G2 Reviewers Say About Altair AI Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Altair AI Studio, benefiting from its intuitive drag-and-drop interface.
- Users value the **ease of using machine learning without coding** , making it accessible and beneficial for education and organizations.
- Users value the **seamless AI integration** of Altair AI Studio, enhancing decision making and efficiency in data analysis.
- Users value the **advanced machine learning and analytics** in Altair AI Studio, enhancing decision-making and efficiency.
- Users value the **automation features** of Altair AI Studio, streamlining processes and enhancing data analysis efficiency.

##### Cons

- Users find the **complexity** of Altair AI Studio challenging, especially with integration and performance issues.
- Users often face **slow performance with large datasets** , which can impact their overall experience with Altair AI Studio.
- Users report experiencing **slow performance** with Altair AI Studio, especially when working with large or complex datasets.
- Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support in Japanese.
- Users find the **complex usage** of Altair AI Studio challenging due to steep learning curves and limited documentation.

#### What Are Recent G2 Reviews of Altair AI Studio?

**["Empowers AI Development with Ease"](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589)**

**Rating:** 4.0/5.0 stars

_— Vivek C._

[Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589)

**["Great tool for easy data analysis and testing of AI models"](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)**

**Rating:** 4.5/5.0 stars

_— Sanjeet S._

[Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)

#### What Are G2 Users Discussing About Altair AI Studio?

- [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment
- [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools)
- [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source)
- [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner)
- [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit)

### [Cloudera](https://www.g2.com/products/cloudera/reviews)

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

**Average Rating:** 4.1/5.0

**Total Reviews:** 131

#### How Do G2 Users Rate Cloudera?

- **Application:** 9.5/10 (Category avg: 8.5/10)
- **Managed Service:** 9.2/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.8/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Cloudera?

- **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera)
- **Company Website:** www.cloudera.com
- **Year Founded:** 2008
- **HQ Location:** Santa Clara, CA
- **Twitter:** @cloudera  
106,442 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b6b5c58818dc39001f93594864d8d88fc876550d3da9306b76f69639a789f14&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F229433%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,446 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Large, 32% Small

#### What Do G2 Reviewers Say About Cloudera?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience.
- Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease.
- Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection.
- Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience.
- Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless.

##### Cons

- Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners.
- Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization.
- Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners.
- Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution.
- Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support.

#### What Are Recent G2 Reviews of Cloudera?

**["Reliable Platform for Managing Large-Scale Data Pipelines"](https://www.g2.com/survey_responses/cloudera-review-11455117)**

**Rating:** 4.5/5.0 stars

_— Paritosh C._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117)

**["Easy to Use, Reliable, and Great for Team Collaboration"](https://www.g2.com/survey_responses/cloudera-review-12695378)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378)

#### What Are G2 Users Discussing About Cloudera?

- [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment
- [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for)
- [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for)
- [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for)
- [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for)

### [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.

**Average Rating:** 4.3/5.0

**Total Reviews:** 87

#### How Do G2 Users Rate Azure Machine Learning?

- **Application:** 8.8/10 (Category avg: 8.5/10)
- **Managed Service:** 8.9/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Azure Machine Learning?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 40% Large, 33% Small

#### What Do G2 Reviewers Say About Azure Machine Learning?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Azure Machine Learning to be **easy to use** , facilitating seamless data management and model implementation.
- Users appreciate the **scalability and integration** of Azure Machine Learning, enhancing AI deployment across various applications.
- Users appreciate the **excellent customer support** of Azure Machine Learning, with helpful documentation and community assistance available.
- Users appreciate the **ease of use and rich features** of Azure Machine Learning for effective data management.
- Users appreciate the **efficiency** of Azure Machine Learning for launching and monitoring jobs seamlessly, enhancing productivity.

##### Cons

- Users find the **learning curve challenging** , requiring time and effort to navigate the platform's tools effectively.
- Users find Azure Machine Learning's **difficult navigation** frustrating due to its disordered interface and non-intuitive workflows.
- Users find the **user interface disorganized** , leading to confusion and excessive clicking to locate options.
- Users find the **complex interface** of Azure Machine Learning non-intuitive, complicating their workflow and experience.
- Users face a **difficult learning curve** with Azure Machine Learning, especially if they are new to the platform.

#### What Are Recent G2 Reviews of Azure Machine Learning?

**["Cost-Efficient Medical Data Integration Backed by Great Support"](https://www.g2.com/survey_responses/azure-machine-learning-review-12845990)**

**Rating:** 5.0/5.0 stars

_— Giridharan U._

[Read full review](https://www.g2.com/survey_responses/azure-machine-learning-review-12845990)

**["An Enterprise-Grade Way to Operationalize ML"](https://www.g2.com/survey_responses/azure-machine-learning-review-12853548)**

**Rating:** 4.0/5.0 stars

_— Vytas J._

[Read full review](https://www.g2.com/survey_responses/azure-machine-learning-review-12853548)

#### What Are G2 Users Discussing About Azure Machine Learning?

- [What is Azure Machine Learning Studio used for?](https://www.g2.com/discussions/what-is-azure-machine-learning-studio-used-for) - 1 comment
- [What type of data analysis is azure machine learning studio intended for?](https://www.g2.com/discussions/what-type-of-data-analysis-is-azure-machine-learning-studio-intended-for)
- [What are the key features of Azure Machine Learning?](https://www.g2.com/discussions/what-are-the-key-features-of-azure-machine-learning)
- [How do I use Microsoft Azure for machine learning?](https://www.g2.com/discussions/how-do-i-use-microsoft-azure-for-machine-learning)
- [What is Azure Machine Learning Studio?](https://www.g2.com/discussions/what-is-azure-machine-learning-studio)

### [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

**Average Rating:** 4.5/5.0

**Total Reviews:** 104

#### How Do G2 Users Rate KNIME?

- **Application:** 8.5/10 (Category avg: 8.5/10)
- **Managed Service:** 7.6/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.1/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind KNIME?

- **Seller:** [KNIME](https://www.g2.com/sellers/knime)
- **Company Website:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
245 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 41% Large, 33% Medium

#### What Do G2 Reviewers Say About KNIME?

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly.
- Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly.
- Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly.
- Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development.
- Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand.

##### Cons

- Users find the **initial learning curve challenging** , especially for those new to data science and visual programming.
- Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files.
- Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files.
- Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility.
- Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities.

#### What Are Recent G2 Reviews of KNIME?

**["KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals"](https://www.g2.com/survey_responses/knime-review-12976842)**

**Rating:** 5.0/5.0 stars

_— Charm M._

[Read full review](https://www.g2.com/survey_responses/knime-review-12976842)

**["KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI"](https://www.g2.com/survey_responses/knime-review-12992618)**

**Rating:** 5.0/5.0 stars

_— Guylaine B._

[Read full review](https://www.g2.com/survey_responses/knime-review-12992618)

#### What Are G2 Users Discussing About KNIME?

- [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for)
- [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment
- [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics)
- [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good)
- [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform)

### [IBM SPSS Modeler](https://www.g2.com/products/ibm-spss-modeler/reviews)

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture. • Take advantage of open source based innovation including R or Python • Empower data scientists of all skills – programmatic and visual • Exploit multi-cloud approach - on-prem, public or private clouds • Start small and scale to enterprise-wide, governed approach

**Average Rating:** 4.0/5.0

**Total Reviews:** 128

#### How Do G2 Users Rate IBM SPSS Modeler?

- **Application:** 7.5/10 (Category avg: 8.5/10)
- **Managed Service:** 7.6/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.4/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM SPSS Modeler?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Higher Education, Education Management
- **Company Size:** 53% Large, 24% Medium

#### What Do G2 Reviewers Say About IBM SPSS Modeler?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **robust analytical modeling capabilities** of IBM SPSS Modeler, enhancing data manipulation and preparation tasks.
- Users value the **seamless data connectivity** of IBM SPSS Modeler, enabling efficient data manipulation and analytical modeling.
- Users value the **seamless data access** of IBM SPSS Modeler, allowing efficient data manipulation and integration.
- Users value the **seamless data connection** in IBM SPSS Modeler, enhancing efficiency in data manipulation and analysis.
- Users value the **seamless data connectivity and robust analytics** of IBM SPSS Modeler for efficient data manipulation.

##### Cons

- Users find the **licensing costs** of IBM SPSS Modeler to be excessively high for each user.
- Users are frustrated by the **expensive licensing** costs, which make the product less accessible for teams.

#### What Are Recent G2 Reviews of IBM SPSS Modeler?

**["The best application for market research"](https://www.g2.com/survey_responses/ibm-spss-modeler-review-8095256)**

**Rating:** 4.0/5.0 stars

_— Basil E._

[Read full review](https://www.g2.com/survey_responses/ibm-spss-modeler-review-8095256)

**["Seamless Data Integration and Powerful Analytics"](https://www.g2.com/survey_responses/ibm-spss-modeler-review-12103509)**

**Rating:** 4.5/5.0 stars

_— Verified User in Banking_

[Read full review](https://www.g2.com/survey_responses/ibm-spss-modeler-review-12103509)

#### What Are G2 Users Discussing About IBM SPSS Modeler?

- [What is IBM SPSS Modeler used for?](https://www.g2.com/discussions/ibm-spss-modeler-what-is-ibm-spss-modeler-used-for)
- [What are the features of SPSS?](https://www.g2.com/discussions/ibm-spss-modeler-what-are-the-features-of-spss) - 1 comment
- [What is IBM SPSS Modeler used for?](https://www.g2.com/discussions/what-is-ibm-spss-modeler-used-for) - 1 comment
- [Is IBM SPSS Modeler free?](https://www.g2.com/discussions/is-ibm-spss-modeler-free) - 1 comment
- [What is the difference between SPSS Statistics and Modeler?](https://www.g2.com/discussions/what-is-the-difference-between-spss-statistics-and-modeler)

### [IBM Decision Optimization](https://www.g2.com/products/ibm-decision-optimization/reviews)

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints. The solution incorporates powerful optimization solvers namely CPLEX Optimizer and CP Optimizer to solve the breadth of optimization problems including mathematical and constraint programming and constraint-based scheduling models. Learn more about this portfolio here https://www.ibm.com/analytics/decision-optimization IBM ILOG CPLEX Optimization Studio is one of the products within the IBM Decision Optimization portfolio. Organizations across industries are using IBM ILOG CPLEX Optimization Studio to drive operational efficiency and generate significant ROI by optimizing planning, scheduling, pricing and other business decisions. The offering provides users the flexibility to develop optimization models either using general programming language APIs like Python, Java, or using Optimization Programming Language (OPL). The powerful CPLEX optimization engines can deliver the power necessary to solve very large, real- world optimization problems at the speed required for today’s interactive decision optimization applications. Learn more about this product here - https://www.ibm.com/products/ilog-cplex-optimization-studio IBM Decision Optimization is also included within Watson Studio Premium for Cloud Pak for Data to enable data science teams to capitalize on the power of prescriptive analytics and build innovative solutions using a combination of techniques like machine learning and optimization. Data science teams can easily demonstrate business value of optimization by leveraging tools like visual dashboards & modeling assistant to quickly build models, test/evaluate multiple scenarios, solve using powerful optimization engines and deploy the models easily . IBM Decision Optimization solutions bring more than 30 years of experience in the field and is a proven optimization technology and organizations across industries are using IBM Decision Optimization solutions to run their mission-critical decision-making applications and have benefited by way of reduction in operating costs, increase in revenue and accelerated time to value.

**Average Rating:** 4.5/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate IBM Decision Optimization?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Decision Optimization?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 59% Large, 22% Small

#### What Are Recent G2 Reviews of IBM Decision Optimization?

**["leveraging data resources"](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8714924)**

**Rating:** 4.5/5.0 stars

_— James C._

[Read full review](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8714924)

**["In-depth analytics.. for a price."](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8681163)**

**Rating:** 4.5/5.0 stars

_— Andrew M._

[Read full review](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8681163)

#### What Are G2 Users Discussing About IBM Decision Optimization?

- [What is IBM Decision Optimization used for?](https://www.g2.com/discussions/what-is-ibm-decision-optimization-used-for)
- [What is IBM ILOG cplex optimization studio?](https://www.g2.com/discussions/what-is-ibm-ilog-cplex-optimization-studio)
- [Which IBM offering would be considered best for Prescriptive Analytics?](https://www.g2.com/discussions/which-ibm-offering-would-be-considered-best-for-prescriptive-analytics)
- [What is decision optimization?](https://www.g2.com/discussions/what-is-decision-optimization)
- [What is IBM decision optimization?](https://www.g2.com/discussions/what-is-ibm-decision-optimization)

### [Pecan](https://www.g2.com/products/pecan/reviews)

Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn business questions into reliable predictions for use cases like customer churn, demand forecasting, and lifetime value, without relying on long, complex data science projects. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, and provides transparent, explainable predictions that integrate into tools like Salesforce, HubSpot, Snowflake, and BI systems to drive real business outcomes.

**Average Rating:** 4.7/5.0

**Total Reviews:** 37

#### How Do G2 Users Rate Pecan?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 5.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Pecan?

- **Seller:** [Pecan.ai](https://www.g2.com/sellers/pecan-ai)
- **Company Website:** www.pecan.ai
- **Year Founded:** 2018
- **HQ Location:** US, Israel
- **Twitter:** @pecan\_ai  
1,135 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2d78b1b29b723df847ea1555f4d071a4e25f46a72c388bbee31fa8710688d47a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpecan-ai%2F&secure%5Burl_type%5D=linkedin_company_website)  
89 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Retail, Computer Software
- **Company Size:** 53% Medium, 23% Large

#### What Do G2 Reviewers Say About Pecan?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Pecan, allowing simple model building without requiring deep technical skills.
- Users praise Pecan's **excellent customer support** , emphasizing prompt assistance and valuable guidance throughout their learning process.
- Users highlight the **speed of development** with Pecan, reducing model creation from months to weeks efficiently.
- Users value Pecan's **exceptional problem-solving support** , enhancing their ability to leverage data for actionable insights.
- Users highlight the **implementation ease** of Pecan, facilitating swift model deployment and enhancing productivity significantly.

##### Cons

- Users experience a **steep learning curve** with Pecan, requiring at least intermediate SQL knowledge to navigate effectively.
- Users desire **deeper control over model selection and custom optimization metrics** , finding the auto-selection process limiting.
- Users feel the **limited model customization** restricts their ability to tailor solutions for specific use cases effectively.
- Users experience a **steep learning curve** initially, particularly with data structure and SQL understanding required.
- Users express a desire for **limited customization** , wishing for more control over model selection and optimization metrics.

#### What Are Recent G2 Reviews of Pecan?

**["Intuitive Platform with Exceptional Support"](https://www.g2.com/survey_responses/pecan-review-12654479)**

**Rating:** 5.0/5.0 stars

_— J G._

[Read full review](https://www.g2.com/survey_responses/pecan-review-12654479)

**["Fast Path to a Working Model with Hands-On Pecan Support"](https://www.g2.com/survey_responses/pecan-review-13219332)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/pecan-review-13219332)

### [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews)

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud

**Average Rating:** 4.2/5.0

**Total Reviews:** 164

#### How Do G2 Users Rate IBM Watson Studio?

- **Application:** 9.2/10 (Category avg: 8.5/10)
- **Managed Service:** 9.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.9/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Watson Studio?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 31% Small

#### What Do G2 Reviewers Say About IBM Watson Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **Auto AI capability** of IBM Watson Studio, which automates tasks and enhances data science efficiency.
- Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work and enhancing productivity.
- Users value the **ease of use** of IBM Watson Studio, enabling quick project initiation and seamless collaboration.
- Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work in data preprocessing.
- Users find the **easy AI integration** of IBM Watson Studio transformative, enhancing their data science and ML workflows significantly.

##### Cons

- Users find the **expensive pricing** of IBM Watson Studio to be a significant barrier, especially for individuals and startups.
- Users find the **steep learning curve** of IBM Watson Studio challenging, especially for beginners navigating complex features.
- Users face a **steep learning curve** with IBM Watson Studio, making it challenging for beginners to navigate the complex features.
- Users find the **complex interface** of IBM Watson Studio challenging, especially for beginners navigating its features.
- Users find the **steep learning curve** of IBM Watson Studio challenging, particularly due to its complex interface.

#### What Are Recent G2 Reviews of IBM Watson Studio?

**["All-in-One Data Science Platform That’s Beginner-Friendly"](https://www.g2.com/survey_responses/ibm-watson-studio-review-12610720)**

**Rating:** 4.5/5.0 stars

_— Kodam S._

[Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12610720)

**["Robust Platform for Seamless Data Science Collaboration"](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)**

**Rating:** 4.5/5.0 stars

_— Naimish M._

[Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)

#### What Are G2 Users Discussing About IBM Watson Studio?

- [What is IBM Watson Studio used for?](https://www.g2.com/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote
- [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio)
- [Is IBM Watson Studio free?](https://www.g2.com/discussions/is-ibm-watson-studio-free)
- [How do I use IBM Watson Studio?](https://www.g2.com/discussions/how-do-i-use-ibm-watson-studio)
- [What does IBM Watson Studio do?](https://www.g2.com/discussions/what-does-ibm-watson-studio-do)

### [Red Hat OpenShift Data Science](https://www.g2.com/products/red-hat-openshift-data-science/reviews)

Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.

**Average Rating:** 4.4/5.0

**Total Reviews:** 30

#### How Do G2 Users Rate Red Hat OpenShift Data Science?

- **Application:** 8.7/10 (Category avg: 8.5/10)
- **Managed Service:** 8.8/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Red Hat OpenShift Data Science?

- **Seller:** [Red Hat](https://www.g2.com/sellers/red-hat)
- **Year Founded:** 1993
- **HQ Location:** Raleigh, NC
- **Twitter:** @RedHat  
300,769 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4e0d3729ea76bc2ca4cd8f1f390777549ab9f3d824d6dd01fe584e175b43fe7a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3545%2F&secure%5Burl_type%5D=linkedin_company_website)  
19,413 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Market Research, Marketing and Advertising
- **Company Size:** 42% Medium, 39% Large

#### What Are Recent G2 Reviews of Red Hat OpenShift Data Science?

**["Red Hat OpenShift Data Science: Scalable and Reliable Enterprise AI/ML Platform"](https://www.g2.com/survey_responses/red-hat-openshift-data-science-review-13173733)**

**Rating:** 4.5/5.0 stars

_— Rinu L._

[Read full review](https://www.g2.com/survey_responses/red-hat-openshift-data-science-review-13173733)

**["Game Changer in tech world specially in Devops."](https://www.g2.com/survey_responses/red-hat-openshift-data-science-review-13176377)**

**Rating:** 4.5/5.0 stars

_— Nazim Abdul Aziz S._

[Read full review](https://www.g2.com/survey_responses/red-hat-openshift-data-science-review-13176377)

#### What Are G2 Users Discussing About Red Hat OpenShift Data Science?

- [What is Red Hat OpenShift Data Science used for?](https://www.g2.com/discussions/what-is-red-hat-openshift-data-science-used-for)

- [‹ Prev‹ Prev](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7C0a9149f6-4ddb-4dc0-a892-b48cdaf4aa2d&order=g2_score#product-list)
- [1](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7C0a9149f6-4ddb-4dc0-a892-b48cdaf4aa2d&order=g2_score#product-list)
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[Sales Enablement Software](https://www.g2.com/categories/sales-enablement)

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[Browse Data Science and Machine Learning Platforms Themes](/categories/data-science-and-machine-learning-platforms/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 22, 2026

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning (ML) algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core capabilities of data science and machine learning (DSML) software

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

- Present a way for developers to connect data to algorithms so they can learn and adapt
- Allow users to create ML algorithms and offer prebuilt algorithms for novice users
- Provide a platform for deploying AI at scale

How DSML software differs from other tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing ML–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

Show More