Best Machine Learning Software for Small Business - Page 2

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,063

Category Stats (Oct 2026)

  • Average Rating: 4.34/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modal Labs (+3.52%) - Among all products in this category, Modal Labs recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,400+ Authentic Reviews
  • 1,063+ 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

Highlighted products: Gemini platform, IBM watsonx.ai, SAS Viya, Google Cloud Recommendations AI, Apple, Azure OpenAI Service, Google Cloud TPU, and Amazon Personalize.

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

AIToolbox

AIToolbox is a comprehensive Swift framework designed to facilitate the development and implementation of artificial intelligence algorithms. It offers a suite of AI modules that cater to various machine learning tasks, making it a valuable resource for developers and researchers working within the Swift ecosystem. Key Features and Functionality: - Graphs and Trees: Provides data structures and algorithms for constructing and manipulating graphs and trees, essential for tasks like decision-making processes and hierarchical data representation. - Support Vector Machines (SVMs): Includes tools for implementing SVMs, enabling classification and regression analysis by finding optimal hyperplanes in high-dimensional spaces. - Neural Networks: Offers components to build and train neural networks, facilitating deep learning applications such as image and speech recognition. - Principal Component Analysis (PCA): Contains modules for dimensionality reduction through PCA, aiding in data visualization and noise reduction. - K-Means Clustering: Provides algorithms for partitioning datasets into clusters, useful in pattern recognition and data mining. - Genetic Algorithms: Includes tools for optimization problems using genetic algorithms, simulating natural selection processes to find optimal solutions. Primary Value and User Solutions: AIToolbox addresses the need for a native Swift library that encompasses a broad range of AI functionalities. By integrating multiple machine learning modules into a single framework, it simplifies the development process for Swift developers, eliminating the need to rely on external libraries or languages. This consolidation enhances efficiency, promotes code consistency, and accelerates the deployment of AI-driven applications on Apple platforms.

Average Rating: 4.4/5.0

Total Reviews: 35

How Do G2 Users Rate AIToolbox?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.7/10)
  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind AIToolbox?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 54% Small, 40% Medium

What Do G2 Reviewers Say About AIToolbox?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of AIToolbox, enabling quick integration and efficient management of AI tools.
  • Users value the model variety in AIToolbox, enabling easy experimentation with multiple AI tools in one platform.
  • Users appreciate the advanced AI technology of AIToolbox, enabling efficient data flow and quick development integration.
  • Users find the easy integration of AIToolbox with popular AI modules enhances their development efficiency significantly.
  • Users appreciate the wide range of AI tools in AIToolbox, enhancing functionality and saving time through seamless access.
Cons
  • Users face issues with inaccuracy as the AI frequently flags transactions without clear reasoning and makes logic errors.
  • Users note that AIToolbox has limited features that can hinder advanced use cases and require additional manual setup.
  • Users face AI limitations with unclear transaction flags, hallucinations in risk analysis, and quick errors affecting larger scale operations.
  • Users face compatibility issues with AIToolbox, disrupting production and causing crashes during high-frequency database operations.
  • Users find the complex setup of AIToolbox cumbersome, wishing for more presets and easier configurations.

What Are Recent G2 Reviews of AIToolbox?

What Are G2 Users Discussing About AIToolbox?

Phrase

Phrase is a leader in Language Intelligence. Its enterprise platform automates, manages, and delivers multilingual content, helping organizations build deeper customer connections and accelerate business growth. Thousands of global brands use Phrase across hundreds of languages to reduce time to market and deliver consistent brand experiences worldwide. The Phrase Platform brings together translation management, software localization, multimedia localization, machine translation, workflow automation, and language AI in a single integrated environment. From marketing campaigns and product interfaces to apps, audio and video, customer support, and technical documentation, teams manage multilingual content in a single platform. Phrase enables organizations to operationalize AI across multilingual content workflows while maintaining governance, quality control, and brand consistency. Built for complex and fast-moving organizations, Phrase connects directly to the systems where content is created and published. Marketing teams launch global campaigns faster, product teams deliver localized software continuously within development workflows, and customer experience teams provide consistent multilingual support across channels. This open ecosystem architecture allows localization to operate as part of broader content, product, and customer experience workflows. Core capabilities of the Phrase Platform include: - AI-powered translation workflows with secure large language model integrations and adaptive machine translation - Multimedia localization with AI-powered subtitling, dubbing, transcription, AI voice generation, and captioning - AI agent orchestration for context-aware translation and automated post-editing - A broad integration ecosystem connecting CMS platforms including Contentful and Optimizely, customer support platforms including Salesforce, marketing automation systems, developer tools, and design environments including Figma - Native integrations with repositories including GitHub, GitLab, Bitbucket, and Azure DevOps - Over-the-air localization and SDKs for iOS and Android applications - Translation Memory and terminology management to maintain linguistic and brand consistency - Automated quality evaluation and quality performance scoring - In-context preview and visual review tools for faster review cycles - Advanced workflow automation with Phrase Orchestrator, a no-code interface for building and managing approval processes - Vendor management for in-house teams, language service providers, and marketplace partners - Open API, CLI, and webhooks for extensibility and automation - Reporting and analytics to monitor quality, cost efficiency, and performance - Scalable architecture designed for enterprise content volumes Phrase supports global organizations across industries including technology, gaming, retail, manufacturing, automotive, travel, and life sciences. These organizations use Phrase to accelerate global product launches, scale international marketing, and deliver consistent multilingual customer experiences across every market. Enterprise readiness sits at the core of the Phrase Platform. Phrase is ISO 27001 certified and provides robust security, governance, and compliance capabilities including SSO, role-based permissions, granular access controls, and secure cloud infrastructure designed for global organizations. Trusted by leading global brands including Uber, AWS, Volkswagen, and Zendesk, Phrase ensures multilingual content is delivered at scale while maintaining quality, consistency, and control. Learn more at phrase.com.

Average Rating: 4.5/5.0

Total Reviews: 1,351

How Do G2 Users Rate Phrase?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.7/10)
  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Phrase?

  • Seller: Phrase
  • Company Website:
  • Year Founded: 2010
  • HQ Location: Prague 1, CZ
  • LinkedIn® Page: www.linkedin.com
    350 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Translator, Freelance Translator
  • Top Industries: Translation and Localization, Computer Software
  • Company Size: 60% Small, 26% Medium

What Do G2 Reviewers Say About Phrase?

AI-generated summary from verified user reviews

Pros
  • Users find Phrase easy to use, appreciating its intuitive interface and helpful features that streamline project management.
  • Users find the intuitive interface of Phrase easy to navigate, making it ideal for beginners and experienced translators alike.
  • Users value the user-friendly interface of Phrase, which significantly enhances efficiency and simplifies localization workflows.
  • Users love the intuitive interface of Phrase, enhancing efficiency and collaboration in their localization workflows.
  • Users value the translation efficiency of Phrase, enjoying streamlined workflows and enhanced consistency across projects.
Cons
  • Users report translation issues with Phrase, citing poor AI accuracy and complexities in settings and outputs.
  • Users experience interface issues, with incomplete QA checks and limited features compared to other localization platforms.
  • Users criticize the expensive pricing structure of Phrase, which complicates budgeting for fluctuating workloads in translation.
  • Users highlight the poor interface design of Phrase, describing it as cluttered and lacking polish, leading to usability issues.
  • Users find poor usability in TMS, with confusing navigation and missing features that hinder efficiency.

What Are Recent G2 Reviews of Phrase?

Dataiku

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

Average Rating: 4.4/5.0

Total Reviews: 254

How Do G2 Users Rate Dataiku?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.7/10)
  • Ease of Use: 8.6/10 (Category avg: 8.5/10)
  • Quality of Support: 8.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Dataiku?

  • Seller: Dataiku
  • Company Website:
  • Year Founded: 2013
  • HQ Location: New York, NY
  • Twitter: @dataiku
    22,917 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,605 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist, Data Analyst
  • Top Industries: Financial Services, Pharmaceuticals
  • Company Size: 58% Large, 23% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users find Dataiku easy to use, simplifying ML development and helping detect opportunities and risks effortlessly.
  • Users appreciate how Dataiku simplifies ML development, enabling quick training, evaluation, and understanding of data easily.
  • Users value the ease of use in Dataiku, enabling collaboration and simplifying complex data processes for all skill levels.
  • Users appreciate the easy integrations of Dataiku, facilitating collaboration across diverse analytics tools and skill sets.
  • Users commend the productivity improvement brought by Dataiku’s visual recipes and robust tools for analytics projects.
Cons
  • Users find the learning curve steep, making it challenging for beginners to fully utilize Dataiku's advanced features.
  • Users find the steep learning curve challenging, especially for beginners navigating Dataiku's advanced features.
  • Users face slow performance with Dataiku when managing large datasets, impacting efficiency and productivity.
  • Users find the difficult learning curve challenging for beginners, impacting their ability to maximize the platform's potential.
  • Users find the pricing high for small companies and students, impacting accessibility for basic projects.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

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Modal Labs

Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.

Average Rating: 4.0/5.0

Total Reviews: 18

How Do G2 Users Rate Modal Labs?

  • Has the product been a good partner in doing business?: 7.2/10 (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: 7.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Modal Labs?

  • Seller: Modal Labs
  • Year Founded: 2015
  • HQ Location: New York City, US
  • LinkedIn® Page: www.linkedin.com
    202 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 58% Small, 37% Medium

What Are Recent G2 Reviews of Modal Labs?

Aerosolve

Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.

Average Rating: 4.5/5.0

Total Reviews: 17

How Do G2 Users Rate Aerosolve?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.7/10)
  • Ease of Use: 8.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.7/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Aerosolve?

  • Seller: Airbnb
  • Year Founded: 2007
  • HQ Location: San Francisco, CA
  • Twitter: @Airbnb
    843,260 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    72,821 employees on LinkedIn®
  • Ownership: NASDAQ: ABNB

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 67% Small, 28% Medium

What Are Recent G2 Reviews of Aerosolve?

scikit-learn

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Average Rating: 4.8/5.0

Total Reviews: 60

How Do G2 Users Rate scikit-learn?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 9.6/10 (Category avg: 8.5/10)
  • Quality of Support: 9.4/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind scikit-learn?

  • Seller: scikit-learn
  • Year Founded: 2018
  • HQ Location: N/A
  • Twitter: @scikit_learn
    22,807 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Machine Learning Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Large, 32% Medium

What Do G2 Reviewers Say About scikit-learn?

AI-generated summary from verified user reviews

Pros
  • Users find scikit-learn's ease of use perfect for beginners, allowing focus on training and outputs effortlessly.
  • Users appreciate the clean and user-friendly API of scikit-learn, making it ideal for learning machine learning concepts.
  • Users find scikit-learn to have a clean and user-friendly API, making it ideal for machine learning beginners.
Cons
  • Users experience lagging issues when using scikit-learn with heavy models, impacting their overall performance and output.
  • Users experience limited customization options in scikit-learn, making algorithm control challenging for advanced needs.
  • Users find time consumption significant due to the steep learning curve and limited customization in scikit-learn.

What Are Recent G2 Reviews of scikit-learn?

What Are G2 Users Discussing About scikit-learn?

Jarvis

NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

Average Rating: 4.2/5.0

Total Reviews: 21

How Do G2 Users Rate Jarvis?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 9.4/10 (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 Jarvis?

  • Seller: NVIDIA
  • Year Founded: 1993
  • HQ Location: Santa Clara, CA
  • Twitter: @nvidia
    2,582,827 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51,762 employees on LinkedIn®
  • Ownership: NVDA

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 74% Small, 13% Large

What Are Recent G2 Reviews of Jarvis?

DigitalOcean

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: 747

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
  • Year Founded: 2012
  • HQ Location: New York
  • Twitter: @digitalocean
    221,611 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,476 employees on LinkedIn®
  • Ownership: NYSE: DOCN

Who Uses This Product?

  • Who Uses This: Software Engineer, Founder
  • 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 enjoy the ease of use of DigitalOcean, praising its intuitive interface for quick and efficient setup.
  • Users value the cost-effective pricing of DigitalOcean, appreciating predictable costs and excellent service reliability.
  • Users value DigitalOcean for its user-friendly interface and predictable pricing, making cloud deployment accessible and efficient.
  • Users appreciate the affordable pricing of DigitalOcean, allowing for budget-friendly VPS options with transparent costs.
  • Users value the easy setup of DigitalOcean, allowing quick deployment of applications without complexity.
Cons
  • Users find the limited features of DigitalOcean's dashboard and analytics insufficient for comprehensive resource management.
  • Users find DigitalOcean relatively expensive, especially for scaling and in certain regions like Brazil.
  • Users find the missing advanced features and detailed analytics on DigitalOcean limiting for power users and deployments.
  • Users find resource limitations in DigitalOcean's storage and Linux distributions compared to competitors like Amazon S3 and Vultr.
  • Users note the limited functionality of DigitalOcean, especially with space tracking and networking features.

What Are Recent G2 Reviews of DigitalOcean?

What Are G2 Users Discussing About DigitalOcean?

B2Metric

B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to automate data analysis and generate predictive insights, which can be used to improve customer engagement, retention, and growth.

Average Rating: 4.8/5.0

Total Reviews: 44

How Do G2 Users Rate B2Metric?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.8/10 (Category avg: 8.5/10)
  • Quality of Support: 9.7/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind B2Metric?

  • Seller: B2Metric
  • Year Founded: 2018
  • HQ Location: Menlo Park, California
  • Twitter: @B2Metric
    228 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 52% Small, 30% Medium

What Do G2 Reviewers Say About B2Metric?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of B2Metric, enabling quick data connection and streamlined dashboard access.
  • Users value the efficiency in customer tracking and data analytics that B2Metric provides, enhancing their marketing strategies.
  • Users value the significant productivity improvement from B2Metric's real-time insights and user-friendly integration capabilities.
  • Users value the ease of data analytics with B2Metric, enhancing decision-making and uncovering opportunities efficiently.
  • Users praise B2Metric for its valuable insights, enhancing decision-making and improving marketing strategies significantly.
Cons
  • Users find the learning curve steep for B2Metric, requiring time to understand its complex features and functionalities.
  • Users find the complex implementation of B2Metric challenging, requiring technical expertise for effective use.
  • Users find that B2Metric's difficult learning curve can hinder their ability to effectively utilize the platform.
  • Users find B2Metric's high complexity overwhelming due to numerous modules, making initial navigation challenging.
  • Users find the insufficient training challenging, suggesting a need for better onboarding resources for new team members.

What Are Recent G2 Reviews of B2Metric?

SAS Model Manager

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
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 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 appreciate the simplicity and efficiency of Model Management, enabling seamless collaboration and automated processes for ML models.
  • Users appreciate the variety of model management features in SAS Model Manager that enhance collaboration and simplify workflows.
  • Users value the simplicity and efficiency of SAS Model Manager for managing classical ML models and analytics processes.
  • Users appreciate the automation capabilities of SAS Model Manager, significantly reducing time and effort in modeling processes.
  • Users value the collaboration features of SAS Model Manager, facilitating seamless sharing and teamwork on models.
Cons
  • Users often struggle with a steep learning curve due to navigational challenges in the documentation and resources.
  • Users find the complexity of SAS Model Manager challenging, affecting their ability to use it effectively.
  • Users face significant complexity issues with SAS Model Manager, making navigation and usability a challenge.
  • Users find difficult learning due to non-intuitive parameter tuning options and challenges in finding specific tweaks.
  • Users often struggle with difficult navigation in SAS Model Manager, making it challenging to locate necessary documentation.

What Are Recent G2 Reviews of SAS Model Manager?

Wolfram Mathematica

Mathematica is a computational software program based on symbolic mathematics, developed by Wolfram Research.

Average Rating: 4.1/5.0

Total Reviews: 86

How Do G2 Users Rate Wolfram Mathematica?

  • Has the product been a good partner in doing business?: 5.8/10 (Category avg: 8.7/10)
  • Ease of Use: 7.3/10 (Category avg: 8.5/10)
  • Quality of Support: 7.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Wolfram Mathematica?

  • Seller: Wolfram Research
  • Year Founded: 1987
  • HQ Location: Champaign, US
  • Twitter: @WolframResearch
    68,699 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    629 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Research Assistant
  • Top Industries: Research, Information Technology and Services
  • Company Size: 45% Large, 31% Small

What Are Recent G2 Reviews of Wolfram Mathematica?

What Are G2 Users Discussing About Wolfram Mathematica?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated