# Best Machine Learning Software - Page 4

## How Many Machine Learning Software Products Does G2 Track?

**Total Products under this Category:** 475

### Category Stats (Aug 2026)

- **Average Rating:** 4.33/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Fireworks AI (+7.87%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank Machine Learning Software Products?

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

- 30 Analysts and Data Experts
- 16,200+ Authentic Reviews
- 475+ 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 Machine Learning Software
 ![G2 Grid® for Machine Learning Software plotting products by satisfaction and market presence](https://www.g2.com/categories/machine-learning/grids.png?focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=1308795&focus%5B%5D=1311098&focus%5B%5D=87432&focus%5B%5D=67046&focus%5B%5D=989&focus%5B%5D=7150)

Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=azure-openai-service&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

**Sponsored**

### Cloudera

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.

[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=684&secure%5Bchosen_at%5D=2026-08-06T11%3A53%3A43Z&secure%5Bdisplayable_resource_id%5D=684&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=684&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=684&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmachine-learning%3F8b09db95_page%3D2%26c1254c7c_page%3D2%26page%3D4&secure%5Btoken%5D=9234279a3950a74bccb0d5b58220c252765b4d56f5d5b1a9007ee2defd109891&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url)

### [Torch](https://www.g2.com/products/torch/reviews)

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

**Average Rating:** 4.4/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Torch?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.4/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Torch?

- **Seller:** [Torch Leadership Labs](https://www.g2.com/sellers/torch-leadership-labs)
- **Year Founded:** 2017
- **HQ Location:** San Francisco, US
- **Twitter:** @torchlabs  
3,063 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0af67b909f07ddea6de4d39a19fc6ba82edaa6ccc2e54ff56d8844038bbeb6da&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftorch-labs&secure%5Burl_type%5D=linkedin_company_website)  
341 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 40% Large, 40% Small

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

**["It is helpful for my requirement."](https://www.g2.com/survey_responses/torch-review-7095549)**

**Rating:** 4.5/5.0 stars

_— Shivam T._

[Read full review](https://www.g2.com/survey_responses/torch-review-7095549)

**["Torch tool easy to use fast, automatic and parallel. "](https://www.g2.com/survey_responses/torch-review-3055465)**

**Rating:** 4.5/5.0 stars

_— Pedro M._

[Read full review](https://www.g2.com/survey_responses/torch-review-3055465)

### [SAS Model Manager](https://www.g2.com/products/sas-model-manager/reviews)

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.

**Average Rating:** 4.6/5.0

**Total Reviews:** 56

#### How Do G2 Users Rate SAS Model Manager?

- **Has the product been a good partner in doing business?:** 7.9/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Model Manager?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Who Uses This:** Inside Sales Manager
- **Top Industries:** Computer Software
- **Company Size:** 59% Large, 27% Small

#### What Do G2 Reviewers Say About SAS Model Manager?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **collaborative capabilities** of Model Manager, allowing seamless sharing and simplification of model management.
- Users appreciate the **variety of model management features** in SAS Model Manager, enhancing collaboration and simplifying ML processes.
- Users value the **simplicity and efficiency** of SAS Model Manager for managing classical ML models and analytics processes.
- Users appreciate the **automation of processes** in SAS Model Manager, significantly reducing time and effort for model training.
- Users value the **collaboration features** in SAS Model Manager, enabling seamless sharing and teamwork on models.

##### Cons

- Users find a steep **learning curve** due to challenging navigation in the documentation, complicating the usage of SAS Model Manager.
- Users find the **complexity** of SAS Model Manager overwhelming, making it difficult to navigate the system effectively.
- Users report **complexity issues** with SAS Model Manager, leading to challenges in usability and adoption.
- Users find **difficult learning** in SAS Model Manager, especially when navigating parameter tuning options effectively.
- Users struggle with **difficult navigation** in SAS Model Manager, making it hard to find specific documentation and information.

#### What Are Recent G2 Reviews of SAS Model Manager?

**["Transforms Model Deployment with Ease"](https://www.g2.com/survey_responses/sas-model-manager-review-12704748)**

**Rating:** 4.0/5.0 stars

_— Surya Teja P._

[Read full review](https://www.g2.com/survey_responses/sas-model-manager-review-12704748)

**["Straightforward, Clean Interface That’s Easy to Use"](https://www.g2.com/survey_responses/sas-model-manager-review-12708119)**

**Rating:** 4.0/5.0 stars

_— Wen-Hung W._

[Read full review](https://www.g2.com/survey_responses/sas-model-manager-review-12708119)

### [MLBase.jl](https://www.g2.com/products/mlbase-jl/reviews)

MLBase.jl is a swiss knife for machine learning that does not implement specific machine learning algorithms, instead, it provides a collection of useful tools to support machine learning programs, including: Data manipulation & preprocessing, Score-based classification, Performance evaluation (e.g. evaluating ROC), Cross validation and Model tuning (i.e. search best settings of parameters).

**Average Rating:** 4.0/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate MLBase.jl?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.5/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MLBase.jl?

- **Seller:** [MLBase.jl](https://www.g2.com/sellers/mlbase-jl)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 55% Small, 36% Medium

#### What Do G2 Reviewers Say About MLBase.jl?

_AI-generated summary from verified user reviews_

##### Pros

- Users find MLBase.jl exceptionally **easy to use** , allowing effortless implementation of various machine learning algorithms.
- Users appreciate the **many features** of MLBase.jl for implementing diverse ML algorithms with ease and efficiency.
- Users value the **variety of models** offered by MLBase.jl, enhancing the flexibility and integration in projects.
- Users enjoy the **ease of data manipulation and performance evaluation** with MLBase.jl, enhancing their workflow in Julia.
- Users appreciate the **streamlined productivity improvement** offered by MLBase.jl, enhancing data manipulation and model evaluation.

##### Cons

- Users find the **complex implementation** due to unclear documentation and reliance on external packages for machine learning models.
- Users find the **poor documentation** frustrating, leading to difficulties in understanding implementation and advanced functions.
- Users find the **lack of built-in algorithms** adds complexity, hindering seamless model development and integration.
- Users find the **complex setup** of MLBase.jl challenging due to its limited algorithms and smaller ecosystem compared to Python.
- Users find the **difficult navigation** of MLBase.jl challenging, suggesting improvements for a more user-friendly experience.

#### What Are Recent G2 Reviews of MLBase.jl?

**["Reliable and comprehensive toolkit for machine learning support."](https://www.g2.com/survey_responses/mlbase-jl-review-10354557)**

**Rating:** 4.5/5.0 stars

_— Caterina M._

[Read full review](https://www.g2.com/survey_responses/mlbase-jl-review-10354557)

**["A Versatile Toolkit for Streamlining Machine Learning"](https://www.g2.com/survey_responses/mlbase-jl-review-10335632)**

**Rating:** 4.0/5.0 stars

_— Anis N._

[Read full review](https://www.g2.com/survey_responses/mlbase-jl-review-10335632)

#### What Are G2 Users Discussing About MLBase.jl?

- [What is MLBase.jl used for?](https://www.g2.com/discussions/what-is-mlbase-jl-used-for)

### [Kili](https://www.g2.com/products/kili/reviews)

Kili Technology is a collaborative AI data platform designed to meet the rigorous needs of building large-scale production-ready AI data securely. Founded in Paris in 2018, Kili Technology caters to a diverse range of industries, including healthcare, financial services, manufacturing, defense, and technology. The platform is engineered to support teams of varying sizes, accommodating anywhere from 1 to over 500 concurrent users, and processes millions of assets annually. The core functionality of Kili Technology lies in its ability to facilitate collaboration among cross-functional teams. Unlike traditional labeling tools that primarily serve machine learning engineers, Kili connects data science teams with business stakeholders and subject matter experts. This integration enhances the AI development lifecycle by streamlining processes from annotation and labeling to validation and model feedback. As a result, users can ensure that the data used for training AI models is not only accurate but also relevant to the specific business context. Kili Technology is particularly beneficial for organizations looking to harness the power of AI while maintaining a high level of data quality. The platform supports various data modalities, allowing teams to work with text, images, audio, and video data seamlessly. This versatility makes it suitable for a wide range of applications, from developing natural language processing models to image recognition systems. By fostering collaboration among different roles within an organization, Kili enhances the overall efficiency of the AI development process. Key features of Kili Technology include an intuitive user interface that simplifies the labeling process, robust tools for data validation, and comprehensive feedback mechanisms that enable continuous improvement of AI models. Additionally, the platform offers advanced analytics capabilities, allowing teams to track progress and identify areas for enhancement. These features collectively empower organizations to build high-quality training datasets that meet the demands of complex AI applications. Kili Technology stands out in the competitive landscape of AI data platforms by prioritizing collaboration and usability. By bridging the gap between technical and non-technical stakeholders, it ensures that the development of AI solutions is a cohesive effort. This approach not only accelerates the time to market for AI initiatives but also enhances the overall quality of the training data, ultimately leading to more effective AI models.

**Average Rating:** 4.7/5.0

**Total Reviews:** 52

#### How Do G2 Users Rate Kili?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.4/10 (Category avg: 8.4/10)
- **Ease of Admin:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Kili?

- **Seller:** [Kili Technology](https://www.g2.com/sellers/kili-technology)
- **Company Website:** kili-technology.com
- **Year Founded:** 2018
- **HQ Location:** Paris, FR
- **Twitter:** @Kili\_Technology  
438 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=528a4a4dc014455d66d25ef4421bc2e8c6ca341820ef9e1a434c4f0e6a6e0e80&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F33266852&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Kili's annotation platform and appreciate its comprehensive metrics for projects.
- Users value the **ease of use** and precise metrics for comprehensive project visualization on Kili's annotation platform.
- Users love the **ease of use** offered by Kili, enhancing their annotation experience significantly.
- Users love the **variety of models** available on Kili, enhancing their annotation projects with tailored solutions.

##### Cons

- Users feel that Kili lacks **adequate content updates** , limiting the platform's overall utility and engagement.
- Users feel Kili lacks **adequate content updates** , limiting their overall experience and engagement with the platform.

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

**["Intuitive UX and Quick Installation"](https://www.g2.com/survey_responses/kili-review-12342244)**

**Rating:** 5.0/5.0 stars

_— Hery R._

[Read full review](https://www.g2.com/survey_responses/kili-review-12342244)

**["Ease of Use and Exceptional Efficiency"](https://www.g2.com/survey_responses/kili-review-12354373)**

**Rating:** 5.0/5.0 stars

_— Lantosoa V._

[Read full review](https://www.g2.com/survey_responses/kili-review-12354373)

### [python-recsys](https://www.g2.com/products/python-recsys/reviews)

python-recsys is a python library for implementing a recommender system.

**Average Rating:** 4.5/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate python-recsys?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.4/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind python-recsys?

- **Seller:** [BLLIP Parser](https://www.g2.com/sellers/bllip-parser)
- **Year Founded:** 2003
- **HQ Location:** N/A
- **Twitter:** @ThePSF  
691,664 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 36% Small

#### What Are Recent G2 Reviews of python-recsys?

**["An easier way to work with data"](https://www.g2.com/survey_responses/python-recsys-review-4806055)**

**Rating:** 4.5/5.0 stars

_— Luis M._

[Read full review](https://www.g2.com/survey_responses/python-recsys-review-4806055)

**["Very helpful and easy to use"](https://www.g2.com/survey_responses/python-recsys-review-4199359)**

**Rating:** 4.5/5.0 stars

_— Caroline M._

[Read full review](https://www.g2.com/survey_responses/python-recsys-review-4199359)

#### What Are G2 Users Discussing About python-recsys?

- [What is python-recsys used for?](https://www.g2.com/discussions/what-is-python-recsys-used-for)

### [Genetic Algorithms for Go/Golang](https://www.g2.com/products/genetic-algorithms-for-go-golang/reviews)

go-galib is a genetic algorithms for Go/Golang

**Average Rating:** 4.1/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Genetic Algorithms for Go/Golang?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.6/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Genetic Algorithms for Go/Golang?

- **Seller:** [Genetic Algorithms for Go/Golang](https://www.g2.com/sellers/genetic-algorithms-for-go-golang)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 43% Large

#### What Are Recent G2 Reviews of Genetic Algorithms for Go/Golang?

**["Genetic Algorithms in Golang: Unleashing the Power of Evolutionary Computing"](https://www.g2.com/survey_responses/genetic-algorithms-for-go-golang-review-8288860)**

**Rating:** 4.0/5.0 stars

_— Aman R._

[Read full review](https://www.g2.com/survey_responses/genetic-algorithms-for-go-golang-review-8288860)

**["Robust your Algorithms with Go/Golang"](https://www.g2.com/survey_responses/genetic-algorithms-for-go-golang-review-8560616)**

**Rating:** 5.0/5.0 stars

_— Dhawlandra S._

[Read full review](https://www.g2.com/survey_responses/genetic-algorithms-for-go-golang-review-8560616)

#### What Are G2 Users Discussing About Genetic Algorithms for Go/Golang?

- [What is Genetic Algorithms for Go/Golang used for?](https://www.g2.com/discussions/what-is-genetic-algorithms-for-go-golang-used-for) - 1 comment

### [XGBoost](https://www.g2.com/products/xgboost/reviews)

XGBoost is an optimized distributed gradient boosting library that is efficient, flexible and portable, it implements machine learning algorithms under the Gradient Boosting framework and provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.

**Average Rating:** 4.4/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate XGBoost?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.6/10 (Category avg: 8.4/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind XGBoost?

- **Seller:** [XGBoost](https://www.g2.com/sellers/xgboost)
- **Year Founded:** 2008
- **HQ Location:** San Francisco, US
- **Twitter:** @github  
2,673,925 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 46% Small, 31% Large

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

**["The greatest boosting algorithm that existed so far"](https://www.g2.com/survey_responses/xgboost-review-3007424)**

**Rating:** 4.5/5.0 stars

_— Meliksah T._

[Read full review](https://www.g2.com/survey_responses/xgboost-review-3007424)

**["XGBoost for Machine learning models"](https://www.g2.com/survey_responses/xgboost-review-4998408)**

**Rating:** 4.5/5.0 stars

_— GOURI S._

[Read full review](https://www.g2.com/survey_responses/xgboost-review-4998408)

### [MLlib](https://www.g2.com/products/mllib/reviews)

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

**Average Rating:** 4.1/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate MLlib?

- **Has the product been a good partner in doing business?:** 7.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.3/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MLlib?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 29% Large

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

**["MLlib review"](https://www.g2.com/survey_responses/mllib-review-4418072)**

**Rating:** 4.0/5.0 stars

_— Mohini S._

[Read full review](https://www.g2.com/survey_responses/mllib-review-4418072)

**["Apache Spark - MLib review"](https://www.g2.com/survey_responses/mllib-review-4417983)**

**Rating:** 4.0/5.0 stars

_— Chetan S._

[Read full review](https://www.g2.com/survey_responses/mllib-review-4417983)

### [DigitalOcean](https://www.g2.com/products/digitalocean/reviews)

DigitalOcean is a cloud computing platform designed to assist businesses and developers in creating, deploying, and scaling applications efficiently. This infrastructure-as-a-service (IaaS) solution caters primarily to startups and growing digital enterprises, providing them with the essential tools and resources needed to establish a robust digital presence or develop innovative software products. By focusing on simplicity and user-friendliness, DigitalOcean enables users to navigate the complexities of cloud computing with ease. The target audience for DigitalOcean includes developers, entrepreneurs, and small to medium-sized businesses seeking reliable cloud solutions without the overhead of managing intricate infrastructure. The platform is particularly beneficial for those who prioritize rapid deployment and scalability, allowing them to focus on their core competencies—building and enhancing their applications. DigitalOcean's offerings are tailored to meet the needs of users at various stages of their development journey, from initial project setup to full-scale production environments. Key features of DigitalOcean include its straightforward user interface, which simplifies the process of launching virtual servers, known as Droplets. Users can choose from a variety of pre-configured images, including popular programming languages and frameworks, to expedite their development process. Additionally, DigitalOcean provides managed services such as databases and Kubernetes, allowing users to offload operational tasks and concentrate on application development. The platform also emphasizes security, offering features like automated backups, monitoring, and firewalls to protect user data and applications. Another significant benefit of DigitalOcean is its strong community support and extensive documentation. Users can access a wealth of tutorials, guides, and forums that facilitate knowledge sharing and problem-solving. This community-driven approach not only enhances the user experience but also fosters collaboration among developers, enabling them to learn from one another and share best practices. By combining powerful infrastructure with a supportive ecosystem, DigitalOcean stands out as a valuable resource for those looking to innovate in the digital landscape.

**Average Rating:** 4.6/5.0

**Total Reviews:** 743

#### How Do G2 Users Rate DigitalOcean?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.6/10 (Category avg: 8.4/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind DigitalOcean?

- **Seller:** [DigitalOcean](https://www.g2.com/sellers/digitalocean)
- **Year Founded:** 2012
- **HQ Location:** New York
- **Twitter:** @digitalocean  
221,611 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1bb6272bb7a9bfdefa787b1c81b41a8c1bafd85dafedec8084ddd9cbeb84f9b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2601253%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,438 employees on LinkedIn®
- **Ownership:** NYSE: DOCN

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CTO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 83% Small, 12% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of DigitalOcean, enjoying a quick setup for seamless project management.
- Users value the **cost-effective pricing** of DigitalOcean, enjoying transparency and budgeting without surprise costs.
- Users appreciate the **user-friendly interface** of DigitalOcean, making setup and deployment quick and efficient.
- Users value the **affordability** of DigitalOcean, with plans starting as low as $4 per month for flexible VPS options.
- Users highlight the **easy setup** of DigitalOcean, making server deployment quick and hassle-free for beginners.

##### Cons

- Users find the **limited features** of DigitalOcean restrictive, especially regarding configuration and database options for small projects.
- Users find DigitalOcean **expensive** , especially due to the lack of a free tier for entry-level projects.
- Users find the **missing features** in DigitalOcean limiting, particularly regarding visibility and network configurations.
- Users face **resource limitations** with DigitalOcean, affecting droplet usage and scalability for larger applications.
- Users note the **limited functionality** of DigitalOcean, especially with space tracking and networking features.

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

**["Developer-Friendly, Effortless Deployment"](https://www.g2.com/survey_responses/digitalocean-review-13132600)**

**Rating:** 4.5/5.0 stars

_— Vamsi G._

[Read full review](https://www.g2.com/survey_responses/digitalocean-review-13132600)

**["Simple Interface, Fast Setup, and Reliable Performance"](https://www.g2.com/survey_responses/digitalocean-review-13167042)**

**Rating:** 4.0/5.0 stars

_— Vaibhav S._

[Read full review](https://www.g2.com/survey_responses/digitalocean-review-13167042)

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

- [What is DigitalOcean used for?](https://www.g2.com/discussions/digitalocean-what-is-digitalocean-used-for) - 1 comment
- [What CPU does DigitalOcean use?](https://www.g2.com/discussions/what-cpu-does-digitalocean-use) - 1 comment
- [Are digital ocean droplets VPS?](https://www.g2.com/discussions/are-digital-ocean-droplets-vps) - 2 comments
- [What is DigitalOcean used for?](https://www.g2.com/discussions/what-is-digitalocean-used-for)
- [What are droplets in DigitalOcean?](https://www.g2.com/discussions/what-are-droplets-in-digitalocean) - 7 comments

### [PyTorch](https://www.g2.com/products/pytorch/reviews)

PyTorch is an open-source machine learning framework that accelerates the transition from research prototyping to production deployment. Developed by Meta AI and now governed by the PyTorch Foundation under the Linux Foundation, PyTorch is widely used for applications in computer vision, natural language processing, and more. Its dynamic computation graph and intuitive Python interface make it a preferred choice for researchers and developers aiming to build and deploy deep learning models efficiently. Key Features and Functionality: - Dynamic Computation Graph: Allows for flexible and efficient model building, enabling changes to the network architecture during runtime. - Tensors and Autograd: Utilizes tensors as fundamental data structures, similar to NumPy arrays, with support for automatic differentiation to streamline the computation of gradients. - Neural Network API: Provides a modular framework for constructing neural networks with pre-defined layers, activation functions, and loss functions, facilitating the creation of complex models. - Distributed Training: Offers native support for distributed training, optimizing performance across multiple GPUs and nodes, which is essential for scaling large models. - TorchScript: Enables the transition from eager execution to graph execution, allowing models to be serialized and optimized for deployment in production environments. - TorchServe: A tool for deploying PyTorch models at scale, supporting features like multi-model serving, logging, metrics, and RESTful endpoints for application integration. - Mobile Support (Experimental): Extends PyTorch capabilities to mobile platforms, allowing models to be deployed on iOS and Android devices. - Robust Ecosystem: Supported by an active community, PyTorch offers a rich ecosystem of tools and libraries for various domains, including computer vision and reinforcement learning. - ONNX Support: Facilitates exporting models in the Open Neural Network Exchange (ONNX) format for compatibility with other platforms and runtimes. Primary Value and User Solutions: PyTorch's primary value lies in its ability to provide a seamless path from research to production. Its dynamic computation graph and user-friendly interface allow for rapid prototyping and experimentation, enabling researchers to iterate quickly on model designs. For developers, PyTorch's support for distributed training and tools like TorchServe simplify the deployment of models at scale, reducing the time and complexity associated with bringing machine learning models into production. Additionally, the extensive ecosystem and community support ensure that users have access to a wide range of resources and tools to address various machine learning challenges.

**Average Rating:** 4.5/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate PyTorch?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.1/10 (Category avg: 8.4/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind PyTorch?

- **Seller:** [Jetware](https://www.g2.com/sellers/jetware-c6839872-6292-4a7b-973d-ac6da2ceaa45)
- **Year Founded:** 2017
- **HQ Location:** Roma, IT
- **Twitter:** @jetware\_io  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=776dc0660ec4fdc63006d90be47aaeb7018753ef0374aaafb08e80dd0af0063f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjetware.org%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 43% Medium, 43% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive nature** of PyTorch, enjoying easy experimentation and debugging for their projects.
- Users value the **extensive documentation** of PyTorch, which enhances their learning and development experience significantly.
- Users find PyTorch's **intuitive interface** enhances their experience, facilitating easy experimentation and debugging for developers.
- Users love the **intuitive design** of PyTorch, making experimentation and debugging straightforward and efficient.
- Users value the **intuitive problem-solving capabilities** of PyTorch, enhancing experimentation and debugging for developers.

##### Cons

- Users find the **complexity** of deploying models in PyTorch can hinder smooth production workflows, necessitating extra tools.
- Users find that **difficult learning** curves for advanced features in PyTorch hinder smoother model deployment and scaling.
- Users find **difficult navigation** in PyTorch due to the need for extensive setup and advanced configuration for deployment.

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

**["Powerful Open-Source Python Library for Machine Learning"](https://www.g2.com/survey_responses/pytorch-review-13093960)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/pytorch-review-13093960)

**["Flexible and Intuitive Deep Learning Framework"](https://www.g2.com/survey_responses/pytorch-review-11698021)**

**Rating:** 4.5/5.0 stars

_— Jagdish P._

[Read full review](https://www.g2.com/survey_responses/pytorch-review-11698021)

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

- [How do you extract features in PyTorch?](https://www.g2.com/discussions/how-do-you-extract-features-in-pytorch)
- [What are the advantages of PyTorch?](https://www.g2.com/discussions/what-are-the-advantages-of-pytorch)
- [What makes PyTorch special?](https://www.g2.com/discussions/what-makes-pytorch-special)
- [What can you do with PyTorch?](https://www.g2.com/discussions/what-can-you-do-with-pytorch) - 1 comment

### [Conjecture](https://www.g2.com/products/conjecture/reviews)

Conjecture is a framework for building machine learning models in Hadoop using the Scalding DSL that enable the development of statistical models as viable components in a wide range of product settings.

**Average Rating:** 4.3/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Conjecture?

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.4/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Conjecture?

- **Seller:** [Conjecture](https://www.g2.com/sellers/conjecture)
- **Year Founded:** 2018
- **HQ Location:** Perth, Australia
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae5f76cfb86be43c0bc56c59abcb9122993a1800903cf8945e45974f3eb8214d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F19078913&secure%5Burl_type%5D=linkedin_company_website)

#### Who Uses This Product?

- **Company Size:** 64% Small, 18% Medium

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

**["Easy to use and manage big data."](https://www.g2.com/survey_responses/conjecture-review-8629510)**

**Rating:** 5.0/5.0 stars

_— Cansel D._

[Read full review](https://www.g2.com/survey_responses/conjecture-review-8629510)

**["Go to machine learning framework"](https://www.g2.com/survey_responses/conjecture-review-8036364)**

**Rating:** 4.5/5.0 stars

_— Diwakar S._

[Read full review](https://www.g2.com/survey_responses/conjecture-review-8036364)

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

- [What is Conjecture used for?](https://www.g2.com/discussions/what-is-conjecture-used-for)

### [MILK](https://www.g2.com/products/milk/reviews)

Milk is a machine learning toolkit in Python that focuses on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems.

**Average Rating:** 4.1/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate MILK?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.0/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MILK?

- **Seller:** [MILK](https://www.g2.com/sellers/milk)
- **Year Founded:** 2008
- **HQ Location:** New York, NY
- **Twitter:** @github  
2,673,925 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
5,749 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 42% Small

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

**["The good review"](https://www.g2.com/survey_responses/milk-review-7455398)**

**Rating:** 5.0/5.0 stars

_— Patricio P._

[Read full review](https://www.g2.com/survey_responses/milk-review-7455398)

**["Extremely Excellent"](https://www.g2.com/survey_responses/milk-review-7456639)**

**Rating:** 5.0/5.0 stars

_— Venkat R._

[Read full review](https://www.g2.com/survey_responses/milk-review-7456639)

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

- [What is MILK used for?](https://www.g2.com/discussions/what-is-milk-used-for)

### [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

**Average Rating:** 4.2/5.0

**Total Reviews:** 328

#### How Do G2 Users Rate Spotfire Analytics?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.8/10 (Category avg: 8.4/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Spotfire Analytics?

- **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7dcd1e227e53d0c4eb587e0a0cf8209fa1226ac43f34c44e1a9a242dcc4e5672&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fspotfire%2F&secure%5Burl_type%5D=linkedin_company_website)  
103 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Manager
- **Top Industries:** Oil & Energy, Information Technology and Services
- **Company Size:** 52% Large, 26% Medium

#### What Do G2 Reviewers Say About Spotfire Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Spotfire's **ease of use** exceptional, enabling quick data visualization even for complex datasets.
- Users appreciate the **powerful and flexible data visualization capabilities** of Spotfire Analytics, making complex data exploration effortless.
- Users praise **Spotfire Analytics for transforming complex data into user-friendly interactive visualizations** , making analysis accessible to all team members.
- Users praise the **easy integrations** of Spotfire Analytics, seamlessly connecting diverse data sources for powerful analysis.
- Users love Spotfire Analytics for its **seamless integration and powerful visualization features** , enhancing decision-making and saving valuable time.

##### Cons

- Users find the **learning curve steep** for Spotfire Analytics, particularly with advanced features and data modeling skills.
- Users find **learning difficult** due to the overwhelming number of functions and complex features in Spotfire Analytics.
- Users find Spotfire Analytics to be **relatively expensive** compared to competitors, with high licensing and maintenance costs.
- Users find the **steep learning curve** of Spotfire Analytics challenging, especially regarding advanced features and user interface.
- Users often find the **complexity of Spotfire Analytics** overwhelming initially, especially those new to data modeling or scripting.

#### What Are Recent G2 Reviews of Spotfire Analytics?

**["Where data science becomes visual—and actually useful!"](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)**

**Rating:** 5.0/5.0 stars

_— Leandro A._

[Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)

**["A Comprehensive Analytics Platform for Deep, Real-Time Data Insights"](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)**

**Rating:** 5.0/5.0 stars

_— Manan B._

[Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)

#### What Are G2 Users Discussing About Spotfire Analytics?

- [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment
- [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for)
- [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments
- [What is most like Tibco Spotfire?](https://www.g2.com/discussions/what-is-most-like-tibco-spotfire) - 1 comment
- [What's New In Tibco Spotfire?](https://www.g2.com/discussions/what-s-new-in-tibco-spotfire) - 1 comment

### [Apache PredictionIO](https://www.g2.com/products/apache-predictionio/reviews)

Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task.

**Average Rating:** 4.3/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate Apache PredictionIO?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.4/10 (Category avg: 8.4/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Apache PredictionIO?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 39% Small, 33% Medium

#### What Are Recent G2 Reviews of Apache PredictionIO?

**["Make ML integration easy with prediction IO"](https://www.g2.com/survey_responses/apache-predictionio-review-8858257)**

**Rating:** 4.5/5.0 stars

_— Kavyansh P._

[Read full review](https://www.g2.com/survey_responses/apache-predictionio-review-8858257)

**["A powerful Machine Learning Framework"](https://www.g2.com/survey_responses/apache-predictionio-review-8638988)**

**Rating:** 5.0/5.0 stars

_— Devansh S._

[Read full review](https://www.g2.com/survey_responses/apache-predictionio-review-8638988)

#### What Are G2 Users Discussing About Apache PredictionIO?

- [What is Apache PredictionIO used for?](https://www.g2.com/discussions/what-is-apache-predictionio-used-for) - 1 comment

### [DecisionTree.jl](https://www.g2.com/products/decisiontree-jl/reviews)

DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning (pessimistic pruning), parallelized bagging (random forests), adaptive boosting (decision stumps), cross validation (n-fold) and support for mixed nominal and numerical data.

**Average Rating:** 3.9/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate DecisionTree.jl?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 6.9/10 (Category avg: 8.4/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind DecisionTree.jl?

- **Seller:** [DecisionTree.jl](https://www.g2.com/sellers/decisiontree-jl)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 40% Medium, 40% Small

#### What Are Recent G2 Reviews of DecisionTree.jl?

**["DecisionTree.jl helps to implement Classification and Regression Tree in few simple steps"](https://www.g2.com/survey_responses/decisiontree-jl-review-7825732)**

**Rating:** 4.5/5.0 stars

_— Bishnu M._

[Read full review](https://www.g2.com/survey_responses/decisiontree-jl-review-7825732)

**["Decision tool"](https://www.g2.com/survey_responses/decisiontree-jl-review-7813989)**

**Rating:** 4.0/5.0 stars

_— Kishore Kumar S._

[Read full review](https://www.g2.com/survey_responses/decisiontree-jl-review-7813989)

#### What Are G2 Users Discussing About DecisionTree.jl?

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[Browse Machine Learning Themes](/categories/machine-learning/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated April 9, 2026

Machine learning software leverages algorithms that learn and adapt from data to automate complex decision-making and generate predictions, improving speed and accuracy of outputs over time as the application ingests more training data, with applications spanning process automation, customer service, security risk identification, and contextual collaboration.

### Core Capabilities of Machine Learning Software

To qualify for inclusion in the Machine Learning category, a product must:

- Offer an algorithm that learns and adapts based on data
- Consume data inputs from a variety of data pools
- Ingest data from structured, unstructured, or streaming sources including local files, cloud storage, databases, or APIs
- Be the source of intelligent learning capabilities for applications
- Provide an output that solves a specific issue based on the learned data

### Common Use Cases for Machine Learning Software

Machine learning platforms are used across industries to power intelligent automation and predictive capabilities. Common use cases include:

- Automating complex decisions in financial services, healthcare, and agriculture
- Powering the backend AI that end users interact with in customer-facing applications
- Building and training models for security risk identification and fraud detection

### How Machine Learning Software Differs from Other Tools

End users of machine learning-powered applications do not interact with the algorithm directly, machine learning powers the backend AI layer that users engage with. Machine learning platforms differ from [machine learning operationalization (MLOps) platforms](https://www.g2.com/categories/mlops-platforms) by focusing on model development and training rather than deployment monitoring and lifecycle management.

### Insights from G2 on Machine Learning Software

Based on category trends on G2, flexible data ingestion and model accuracy improvements over time stand out as the most valued capabilities. Ease of integration with existing data infrastructure and the breadth of supported algorithms stand out as key decision factors.

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