Best Machine Learning Software - Page 2

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

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.

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Automation Anywhere Agentic Process Automation

Automation Anywhere is the global leader in Agentic Process Automation (APA), transforming how organizations put AI to work. Our platform combines specialized AI agents, generative AI, and end-to-end process automation—including process discovery, RPA, document processing, and advanced analytics—all built on a foundation of security and governance. We empower businesses worldwide to unlock productivity, elevate customer experiences, and drive new revenue streams. Guided by our vision to fuel the future of work, we unleash human potential through Agentic AI-powered automation. Learn more at https://www.automationanywhere.com.

Average Rating: 4.5/5.0

Total Reviews: 4,060

How Do G2 Users Rate Automation Anywhere Agentic Process Automation?

  • 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: 8.7/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Automation Anywhere Agentic Process Automation?

  • Seller: Automation Anywhere
  • Company Website:
  • Year Founded: 2003
  • HQ Location: San Jose, CA
  • Twitter: @AutomationAnywh
    55,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,314 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: RPA Developer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 23% Medium

What Do G2 Reviewers Say About Automation Anywhere Agentic Process Automation?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Automation Anywhere Agentic Process Automation makes bot development simple and efficient.
  • Users love the ease of automating tasks with Automation Anywhere, enjoying its intuitive interface and time-saving capabilities.
  • Users appreciate the efficiency of Automation Anywhere, simplifying automation and enhancing process performance across various applications.
  • Users admire the ease of automation with Automation Anywhere, enabling non-coders to effortlessly create bots.
  • Users appreciate the intuitive user interface of Automation Anywhere, enhancing automation ease and efficiency across processes.
Cons
  • Users find the pricing model complex and high, which can be challenging for small teams or individuals.
  • Users face a steep learning curve with Automation Anywhere, particularly when navigating advanced features and complex workflows.
  • Users note the missing features in Automation Anywhere, impacting functionality and complicating automation tasks.
  • Users frequently face software bugs that disrupt automation tasks and lead to frustrating experiences throughout the process.
  • Users struggle with bot issues like complex UI, debugging challenges, and the steep learning curve for beginners.

What Are Recent G2 Reviews of Automation Anywhere Agentic Process Automation?

What Are G2 Users Discussing About Automation Anywhere Agentic Process Automation?

Wiro

Wiro is a unified AI API and generative AI infrastructure platform designed to help organizations build, deploy, and scale AI-powered applications through a single integration. The platform enables developers to access large language models (LLMs), AI image generation models, text-to-video and image-to-video models, speech-to-text systems, and real-time conversational AI through one standardized API. Wiro is particularly suited for teams building AI video generator apps, AI image generation tools, AI chatbots, voice assistant platforms, and other generative AI SaaS products. Instead of integrating multiple providers separately, developers can use Wiro as a centralized AI integration layer that abstracts GPU infrastructure, model hosting, and vendor management. Beyond simple API aggregation, Wiro supports model operationalization, including fine-tuning workflows (such as LoRA and DreamBooth), reusable AI pipelines, and RAG (retrieval-augmented generation) architectures. Teams can train custom models, deploy fine-tuned versions, and orchestrate multi-model workflows within the same application pipeline. This makes Wiro suitable for production AI deployment, multi-model orchestration, and scalable AI integration in real-world applications. The platform hosts and optimizes open-source foundation models on dedicated GPU infrastructure while also providing unified access to commercial AI providers such as OpenAI and Google. Its centralized architecture supports intelligent routing, workload scheduling, monitoring, and high-throughput API traffic management. Wiro operates on a transparent, usage-based pricing model where customers are billed per API request based on compute and token usage. This approach allows startups, SaaS companies, and enterprise teams to scale AI workloads without long-term infrastructure commitments. By combining unified AI APIs, model fine-tuning, workflow orchestration, and multi-provider integration, Wiro functions as an AI infrastructure layer and OpenAI alternative API for teams building AI video apps, AI image generation platforms, conversational AI systems, and production-ready generative AI solutions.

Average Rating: 4.9/5.0

Total Reviews: 28

How Do G2 Users Rate Wiro?

  • Ease of Use: 9.7/10 (Category avg: 8.5/10)
  • Quality of Support: 9.8/10 (Category avg: 8.4/10)

Who Is the Company Behind Wiro?

  • Seller: Wiro.ai
  • Company Website:
  • Year Founded: 2023
  • HQ Location: San Francisco, CA
  • Twitter: @wiroai
    1,534 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    24 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising
  • Company Size: 97% Small, 3% Medium

What Are Recent G2 Reviews of Wiro?

UiPath Document Understanding

UiPath Document Understanding is an AI-powered solution that automates the extraction, classification, and validation of data from a wide range of document types, including structured, semi-structured, and unstructured formats. By integrating advanced machine learning models with robotic process automation (RPA), it enables organizations to process documents such as invoices, contracts, and compliance reports with increased speed and accuracy, reducing manual effort and minimizing errors. Key Features and Functionality: - AI-Powered Data Extraction: Utilizes machine learning models to accurately extract information from various document formats, including text, handwriting, tables, and checkboxes. - Pre-Trained and Custom Models: Offers pre-built models for common document types and the flexibility to train custom models tailored to specific business needs. - Human-in-the-Loop Validation: Incorporates human validation stations to review and correct extracted data, ensuring high accuracy and compliance. - Seamless Integration: Integrates with UiPath Studio and Orchestrator, allowing for the creation of end-to-end automation workflows that connect document processing with broader business processes. - Flexible Deployment Options: Supports both on-premises and cloud deployments to align with various IT infrastructures and compliance requirements. Primary Value and Problem Solved: UiPath Document Understanding addresses the challenges associated with manual document processing, such as time consumption, susceptibility to errors, and scalability limitations. By automating the extraction and processing of data from diverse document types, it enhances operational efficiency, reduces processing times, and improves data accuracy. This leads to better compliance, cost savings, and the ability to scale operations effectively, ultimately delivering a superior customer experience.

Average Rating: 4.6/5.0

Total Reviews: 21

How Do G2 Users Rate UiPath Document Understanding?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Quality of Support: 9.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.5/10)

Who Is the Company Behind UiPath Document Understanding?

  • Seller: UiPath
  • Year Founded: 2005
  • HQ Location: New York
  • Twitter: @UiPath
    108,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,134 employees on LinkedIn®
  • Ownership: NYSE: PATH

Who Uses This Product?

  • Company Size: 55% Small, 27% Large

What Do G2 Reviewers Say About UiPath Document Understanding?

AI-generated summary from verified user reviews

Pros
  • Users value the machine learning capabilities of UiPath Document Understanding for simplifying data extraction from unstructured documents.
  • Users value the active learning support in UiPath Document Understanding, easing model training for non-ML experts.
  • Users appreciate the analytics capabilities of UiPath Document Understanding for efficiently processing and extracting data from unstructured documents.
  • Users appreciate the AI-guided annotation tools of UiPath Document Understanding, simplifying model training for non-ML experts.
  • Users value the automation of unstructured document processing, enhancing customization and efficiency in data extraction.
Cons
  • Users face automation challenges due to reliance on human intervention for low-confidence fields, impacting efficiency in critical documents.
  • Users experience dependency issues as reliance on human input hinders automation efficiency, particularly with important documents.
  • Users experience limitations in document management, preferring flexible area definition over fixed selectable fields for data extraction.
  • Users find the inaccuracy in data extraction challenging, especially when using smaller datasets for training.
  • Users find learning difficulty with UiPath Document Understanding, especially when training on smaller datasets impacts accuracy.

What Are Recent G2 Reviews of UiPath Document Understanding?

SAP HANA Cloud

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

Average Rating: 4.3/5.0

Total Reviews: 521

How Do G2 Users Rate SAP HANA Cloud?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.7/10)
  • Ease of Use: 8.2/10 (Category avg: 8.5/10)
  • Quality of Support: 8.2/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP HANA Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Consultant, SAP Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 26% Medium

What Do G2 Reviewers Say About SAP HANA Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
  • Users value the smooth integration capabilities of SAP HANA Cloud, enhancing efficiency and simplifying data management.
  • Users value the speed and responsiveness of SAP HANA Cloud, making data handling efficient and streamlined.
  • Users value the flexible and elastic scalability of SAP HANA Cloud, enhancing performance for data-intensive applications.
Cons
  • Users find the complexity of the setup challenging, particularly for new users and integrations with other systems.
  • Users find SAP HANA Cloud to be expensive, particularly for large data demands and advanced configurations requiring expertise.
  • Users find the learning curve challenging, especially for teams new to HANA's concepts and SQL extensions.
  • Users find the difficult learning curve of SAP HANA Cloud challenging, especially for new users and feature navigation.
  • Users find the complex setup of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

What Are Recent G2 Reviews of SAP HANA Cloud?

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?

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 beneficial for beginners, simplifying the learning process in machine learning.
  • Users appreciate the clean and intuitive API of scikit-learn, making it easy for beginners to learn machine learning.
  • Users find scikit-learn a frequently used library for beginners, thanks to its clean interface and easy access to algorithms.
Cons
  • Users experience lagging issues with scikit-learn, especially when modeling complex algorithms, affecting overall performance.
  • Users face challenges with limited customization in scikit-learn, hindering their ability to tweak algorithms effectively.
  • Users find that learning scikit-learn takes a significant amount of time due to its steep learning curve for beginners.

What Are Recent G2 Reviews of scikit-learn?

What Are G2 Users Discussing About scikit-learn?

Pecan

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

Average Rating: 4.7/5.0

Total Reviews: 37

How Do G2 Users Rate Pecan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 9.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Pecan?

  • Seller: Pecan.ai
  • Company Website:
  • Year Founded: 2018
  • HQ Location: US, Israel
  • Twitter: @pecan_ai
    1,135 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Pecan?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Pecan, allowing simple model building without requiring deep technical skills.
  • Users praise Pecan's excellent customer support, emphasizing prompt assistance and valuable guidance throughout their learning process.
  • Users highlight the speed of development with Pecan, reducing model creation from months to weeks efficiently.
  • Users value Pecan's exceptional problem-solving support, enhancing their ability to leverage data for actionable insights.
  • Users highlight the implementation ease of Pecan, facilitating swift model deployment and enhancing productivity significantly.
Cons
  • Users experience a steep learning curve with Pecan, requiring at least intermediate SQL knowledge to navigate effectively.
  • Users desire deeper control over model selection and custom optimization metrics, finding the auto-selection process limiting.
  • Users feel the limited model customization restricts their ability to tailor solutions for specific use cases effectively.
  • Users experience a steep learning curve initially, particularly with data structure and SQL understanding required.
  • Users express a desire for limited customization, wishing for more control over model selection and optimization metrics.

What Are Recent G2 Reviews of Pecan?

Google Cloud Recommendations AI

Recommendations AI Deliver highly personalized product recommendations at scale.

Average Rating: 4.3/5.0

Total Reviews: 16

How Do G2 Users Rate Google Cloud Recommendations AI?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 9.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Google Cloud Recommendations AI?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Company Size: 35% Small, 35% Large

What Are Recent G2 Reviews of Google Cloud Recommendations AI?

Minitab Statistical Software

Minitab Statistical Software is a comprehensive data analysis and statistical solution designed to assist users in exploring data, identifying trends, and making informed, data-driven decisions. This software caters to a diverse audience, ranging from beginners to seasoned analysts, by combining powerful statistical methods with an intuitive interface. This design approach simplifies complex analyses while ensuring depth and accuracy are not compromised. The capabilities of Minitab are extensive, encompassing a variety of statistical techniques such as descriptive statistics, hypothesis testing, regression analysis, ANOVA, time series analysis, design of experiments (DOE), reliability analysis, and predictive analytics. The software's guided workflows and Assistant feature are particularly beneficial, as they help users select appropriate tools, interpret results effectively, and communicate findings in a clear manner. This accessibility makes advanced analytics feasible for users across different skill levels, promoting a culture of data-driven decision-making within organizations. Minitab is available in both desktop and cloud-based versions, providing users with the flexibility to work from various locations while ensuring secure access to their data and analyses. The cloud version enhances collaboration among teams by allowing them to share projects and standardize analyses without the need for local installation. This feature is particularly advantageous for organizations with remote teams or those looking to streamline their analytical processes. The software also includes built-in data preparation tools that facilitate the cleaning and organization of data, which is crucial for accurate analysis. Furthermore, Minitab seamlessly integrates with other Minitab solutions and supports quality improvement methodologies such as Six Sigma. This integration helps organizations enhance their processes, reduce variation, and achieve measurable business outcomes. By providing a robust suite of tools and features, Minitab Statistical Software stands out as a valuable resource for organizations aiming to leverage data for strategic advantage.

Average Rating: 4.6/5.0

Total Reviews: 221

How Do G2 Users Rate Minitab Statistical Software?

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

Who Is the Company Behind Minitab Statistical Software?

  • Seller: Minitab
  • Company Website:
  • Year Founded: 1972
  • HQ Location: State College, Pennsylvania, United States
  • Twitter: @Minitab
    5,017 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    732 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Quality Manager
  • Top Industries: Automotive, Manufacturing
  • Company Size: 46% Large, 32% Medium

What Do G2 Reviewers Say About Minitab Statistical Software?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Minitab, highlighting its intuitive interface and helpful resources for efficient analysis.
  • Users praise Minitab for its ease of use, enhancing their overall data analysis experience significantly.
  • Users value the helpful guides and assistants in Minitab, enhancing their data analysis experience significantly.
  • Users value Minitab for its comprehensive tools that enhance data-driven decision-making in manufacturing and quality analysis.
  • Users value Minitab's robust analysis capabilities, making statistical data processing straightforward and effective for decision-making.
Cons
  • Users find the licensing fees expensive, especially when usage is intermittent and features are underutilized.
  • Users find a steep learning curve with Minitab, highlighting the need for better training resources and usability improvements.
  • Users find Minitab's complexity challenging due to issues with hidden variables and clunky data manipulation features.
  • Users find Minitab’s interface not user-friendly, as confusing menus and outdated design hinder ease of use.
  • Users face data management issues in Minitab, complicating analysis and requiring re-runs with updated datasets.

What Are Recent G2 Reviews of Minitab Statistical Software?

What Are G2 Users Discussing About Minitab Statistical Software?

Recommender

Recommender is a tool that analyzes the the feedback of some users (implicit and explicit) and their preferences for some items to learns patterns and predicts the most suitable products for a particular user.

Average Rating: 4.5/5.0

Total Reviews: 13

How Do G2 Users Rate Recommender?

  • Has the product been a good partner in doing business?: 7.8/10 (Category avg: 8.7/10)
  • Ease of Use: 9.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Recommender?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Company Size: 46% Medium, 31% Large

What Are Recent G2 Reviews of Recommender?

What Are G2 Users Discussing About Recommender?

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
    48,229 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?

BMC AMI DevX

BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce. Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach. A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%. Key capabilities: - Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching - AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization - Automated unit, functional, integration, and performance testing with code coverage analysis - Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library - DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC

Average Rating: 4.1/5.0

Total Reviews: 57

How Do G2 Users Rate BMC AMI DevX?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.7/10)
  • Ease of Use: 8.2/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind BMC AMI DevX?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,877 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Large, 31% Medium

What Do G2 Reviewers Say About BMC AMI DevX?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in BMC AMI DevX, enabling seamless editing and efficient project management.
  • Users value the industry benchmarking feature in BMC AMI DevX for its insightful performance comparisons and reporting advantages.
  • Users value the effective bug detection in BMC AMI DevX, enhancing their modernization efforts and ensuring better performance.
  • Users highlight the excellent customer support provided by BMC AMI DevX, enhancing their overall experience.
  • Users value the smooth integration of Machine Learning with BMC AMI DevX, enhancing KPI tracking and performance.
Cons
  • Users find the complexity and limitations of customization in BMC AMI DevX challenging, hindering tailored usage.
  • Users face limited customization options with BMC AMI DevX, making it challenging to tailor the experience to specific needs.
  • Users experience compatibility issues when using non-BMC tools, limiting the effectiveness of BMC AMI DevX features.
  • Users find the complex setup of BMC AMI DevX challenging, especially when customizing dashboards and integrating third-party tools.
  • Users face challenges with configuration issues, finding customization complex and integration with non-BMC tools limited.

What Are Recent G2 Reviews of BMC AMI DevX?

What Are G2 Users Discussing About BMC AMI DevX?

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
    31 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 value B2Metric for its powerful problem-solving capabilities, enabling efficient data-driven decisions and faster reporting.
  • Users value the efficient reporting features of B2Metric, enhancing data access and accelerating insights for better decision-making.
  • Users praise the powerful AI-driven insights of B2Metric, enabling effortless data-driven decision-making and enhanced efficiency.
  • Users value the streamlined data visualization of B2Metric, simplifying data interpretation and enhancing actionable insights.
  • Users commend B2Metric's easy integration, which simplifies connections and enhances workflow efficiency significantly.
Cons
  • Users find the learning curve steep, requiring extra time and guidance to master B2Metric's features effectively.
  • Users find the complex implementation of B2Metric challenging, though customer support assists in overcoming these hurdles.
  • Users find B2Metric's difficult learning curve can make mastering its features and functionalities challenging for newcomers.
  • Users find the high complexity of B2Metric's numerous modules can make navigation and understanding challenging.
  • Users find the insufficient training in B2Metric makes onboarding and understanding the platform challenging.

What Are Recent G2 Reviews of B2Metric?

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
    68,394 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?

Intel(R) Data Analytics Acceleration Library

Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Intel(R) Data Analytics Acceleration Library?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.3/10 (Category avg: 8.5/10)
  • Quality of Support: 7.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Intel(R) Data Analytics Acceleration Library?

  • Seller: Intel Corporation
  • Year Founded: 1968
  • HQ Location: Santa Clara, CA
  • Twitter: @intel
    4,467,591 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    106,198 employees on LinkedIn®
  • Ownership: NASDAQ:INTC

Who Uses This Product?

  • Company Size: 46% Large, 31% Small

What Are Recent G2 Reviews of Intel(R) Data Analytics Acceleration Library?

What Are G2 Users Discussing About Intel(R) Data Analytics Acceleration Library?

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: 1,292

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
    391 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 highlight the intuitive and easy-to-use interface of Phrase, enhancing their project management and collaboration experience.
  • Users appreciate the intuitive interface of Phrase, making it accessible for beginners and efficient for all users.
  • Users value the user-friendly interface of Phrase, which streamlines workflows and enhances productivity in localization tasks.
  • Users appreciate the intuitive interface of Phrase, which streamlines translation management and enhances collaboration.
  • Users value the translation efficiency of Phrase, significantly enhancing localization workflows and saving time on projects.
Cons
  • Users face translation issues with Phrase's AI, resulting in poor output and a frustrating experience.
  • Users report interface issues with Phrase, indicating incomplete QA checks and a lack of certain advanced features.
  • Users express frustration over the expensive pricing structure of Phrase, which complicates budgeting for translation projects.
  • Users find the interface design poor, leading to a cluttered experience and operational inefficiencies.
  • Users experience poor usability due to hidden features, lack of global search, and unpolished interface issues.

What Are Recent G2 Reviews of Phrase?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026