Total Products under this Category: 475
Last updated: August 06, 2026
Why You Can Trust G2's Software 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.
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)
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Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.
Enables handheld visual inspections using IBM Model Builder or IBM Maximo Visual Inspection to run Core ML models on iPhone or iPad.
Average Rating: 4.3/5.0
Total Reviews: 4
"AI training platform for mobile applications"
Rating: 4.0/5.0 stars
— Subramanyam G.
"IBM SMB is most powerfull artificial intelliagnce traning platform i ever used"
Rating: 4.5/5.0 stars
— Naveen S.
Numenta is a machine intelligence solution that delivers capabilities and demonstrates a computing approach based on biological learning principles to help you manage your business.
Average Rating: 4.9/5.0
Total Reviews: 4
"Innovative Machine Intelligence: Unleashing Biological Learning Principles"
Rating: 4.5/5.0 stars
— Prashant J.
Rating: 5.0/5.0 stars
— Kostas F.
A platform that offers a catalog of Artificial Intelligence powered modules that allow you to optimize every step of your customer lifecycle from lead scoring to churn, including predictions of lifetime value, upselling, cross-selling, discount personalization and more. All with explainability to understand the drivers and barriers.
Average Rating: 4.6/5.0
Total Reviews: 4
"Best AI tool for ecommerce growth!"
Rating: 4.5/5.0 stars
— Abhishek S.
"One of the gem in the market."
Rating: 4.5/5.0 stars
— Ashish K.
Theano is a Python library that allows user to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently
Average Rating: 3.1/5.0
Total Reviews: 4
Rating: 4.0/5.0 stars
— Verified User in Higher Education
"Theano is stable, optimized and fast in performance."
Rating: 4.5/5.0 stars
— Santosh V.
Bolt is a discriminative learning of linear predictors (e.g. SVM or Logistic Regression) that uses fast online learning algorithms to aimed large-scale, high-dimensional and sparse machine-learning problems. In particular, problems encountered in information retrieval and natural language processing.
Average Rating: 3.7/5.0
Total Reviews: 3
"Bolt provides a great shopping experience for customers and merchants"
Rating: 5.0/5.0 stars
— Jamie L.
"Helper library for Spark to deal with large data sets"
Rating: 4.5/5.0 stars
— Jaykishan B.
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in days, with no prior expertise required.
Average Rating: 4.0/5.0
Total Reviews: 3
Rating: 5.0/5.0 stars
— Danyaal S.
Rating: 4.0/5.0 stars
— SHASHIDHAR KUDARI .
Dlib Machine Learning is a tool that contains a wide range of machine learning algorithms, designed to be highly modular, quick to execute, and simple to use via a clean and modern C++ API and used in a wide range of applications including robotics, embedded devices, mobile phones, and large high performance computing environments.
Average Rating: 4.7/5.0
Total Reviews: 3
"it is based on information to understand the machine operation."
Rating: 5.0/5.0 stars
— Wiliam A.
"It is based on a data science and machine learning tool."
Rating: 5.0/5.0 stars
— Emiley H.
TensorFlow Enterprise Reliability and performance for AI applications with enterprise-grade support and managed services.
Average Rating: 4.7/5.0
Total Reviews: 3
"Scalable, Reliable ML with Google TensorFlow Enterprise on Google Cloud"
Rating: 4.5/5.0 stars
— Anjaly T.
"Enterprise-Grade TensorFlow That Simplifies ML at Scale"
Rating: 4.5/5.0 stars
— LOKESH G.
GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance data products.
Average Rating: 4.8/5.0
Total Reviews: 3
"User Experience of GraphLab Create"
Rating: 5.0/5.0 stars
— Gaurav L.
"Excellent Python library for data analysis and machine learning"
Rating: 5.0/5.0 stars
— Liliana D.
Learn, test and prototype AI inference workloads using Intel® DevCloud for the Edge, which includes a preinstalled and preconfigured version of the Intel® Distribution of OpenVINO™ toolkit and AI pipeline software. Access tutorials, sample applications and pretrained models via a Jupyter Notebook environment and execute workloads on a wide range of Intel® hardware.
Average Rating: 3.5/5.0
Total Reviews: 3
AI-generated summary from verified user reviews
"Development and deployment using Intel DevCloud"
Rating: 4.5/5.0 stars
— Piyush R.
The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.
Average Rating: 4.9/5.0
Total Reviews: 8
"Reusable Components and Nice Performance"
Rating: 5.0/5.0 stars
— Vitali M.
"Megaladata is a platform for any time of on-time analytics"
Rating: 5.0/5.0 stars
— Vartan G.
metric-learn is the sub-field of machine learning dedicated to automatically constructing optimal distance metrics.
Average Rating: 4.0/5.0
Total Reviews: 3
AI-generated summary from verified user reviews
"Machine Learning library for Python"
Rating: 4.0/5.0 stars
— Kevin T.
"Good open source library for several ML algorithms"
Rating: 4.5/5.0 stars
— Verified User in Computer & Network Security
NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) that takes care of all the plumbing so data scientists, developers, and researchers can focus on building solutions, gathering insights, and delivering business value.
Average Rating: 3.7/5.0
Total Reviews: 3
"Nvidia NGC: A Game-Changer !!!"
Rating: 4.0/5.0 stars
— Vijudev V.
Rating: 4.0/5.0 stars
— Sarvesh B.
Azure Custom Decision Service helps you create intelligent systems with a cloud-based contextual decision-making API that sharpens with experience.
Average Rating: 3.7/5.0
Total Reviews: 3
"Azure Custom Decision Service makes Selecting end-point content a breeze"
Rating: 4.0/5.0 stars
— Verified User in Computer Software
Saul is a modeling language implemented as a domain specific language (DSL) in Scala that facilitate designing machine learning models with arbitrary configurations for the application programmer, including, interacting with raw data and setting it in a flexible graph structure (i.e. data model) using the original available data structures, relational feature extraction by flexible querying from the data model graph and designing flexible learning models including various configurations in which learners interact.
Average Rating: 4.7/5.0
Total Reviews: 3
"Awesome, free, Learning Based Programming!"
Rating: 5.0/5.0 stars
— Tony D.
Rating: 5.0/5.0 stars
— Carla S.
