Top Free Data Science and Machine Learning Platforms

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

Total Products under this Category: 1,731

Category Stats (Nov 2026)

  • Average Rating: 4.45/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Braintrust Data (+1.99%) - Among all products in this category, Braintrust Data recorded the largest rating increase compared to last month

Last updated: November 01, 2026

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

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 15,900+ Authentic Reviews
  • 1,731+ Products
  • Unbiased Rankings

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

G2 Grid® for Data Science and Machine Learning Platforms

G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence

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

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

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,376

How Do G2 Users Rate Databricks?

  • Application: 8.7/10 (Category avg: 8.5/10)
  • Managed Service: 8.5/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.4/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 39% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration of big data and AI in Databricks, enhancing collaboration and performance.
  • Users appreciate the ease of use of Databricks, valuing its seamless integration and fast performance.
  • Users appreciate the seamless integration of Databricks with big data processing and AI, enhancing collaboration and performance.
  • Users value the seamless collaboration features of Databricks, enhancing teamwork and data analysis across departments.
  • Users appreciate the seamless integration of big data processing and AI in Databricks, enhancing collaboration and efficiency.
Cons
  • Users find the learning curve steep with Databricks, requiring time and skills to adapt effectively.
  • Users note that the cost can scale quickly, making cost monitoring and control a significant challenge.
  • Users find the steep learning curve of Databricks challenging, requiring considerable effort to adapt for business use cases.
  • Users find the inadequate ingestion options for non-standard data sources a limitation in Databricks' functionality.
  • Users find Databricks' complexity challenging, especially for beginners and smaller teams trying to fine-tune the system.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

Average Rating: 4.3/5.0

Total Reviews: 793

How Do G2 Users Rate SAS Viya?

  • Application: 7.8/10 (Category avg: 8.5/10)
  • Managed Service: 7.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.6/10 (Category avg: 8.6/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 34% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAS Viya, thanks to its simple syntax and integrated features for analytics.
  • Users commend SAS Viya for its powerful and sophisticated features that enhance data analysis and collaboration across teams.
  • Users value the powerful analytics and integration features of SAS Viya, significantly enhancing data analysis capabilities.
  • Users value the powerful data analysis capabilities of SAS Viya, enhancing efficiency and integration for various tasks.
  • Users value the modern, intuitive user interface of SAS Viya, enhancing productivity with seamless navigation and integration.
Cons
  • Users find the learning difficulty of SAS Viya challenging, especially for beginners due to its complexity and limited resources.
  • Users find SAS Viya has a steep learning curve, making it challenging for newcomers to grasp effectively.
  • Users find SAS Viya's complexity and steep learning curve challenging, hindering effective use and self-learning opportunities.
  • Users find the difficult learning curve of SAS Viya challenging, especially for beginners seeking easier comprehension.
  • Users find the licensing costs of SAS Viya to be prohibitively expensive, especially for features they don't use.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 731

How Do G2 Users Rate Snowflake?

  • Application: 9.2/10 (Category avg: 8.5/10)
  • Managed Service: 9.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.6/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Menlo Park, California, United States
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®
  • Ownership: NYSE:SNOW

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Snowflake, enjoying its user-friendly interface and seamless scalability for data analysis.
  • Users appreciate the flexible scalability of Snowflake, allowing independent adjustments to performance and efficient resource management.
  • Users value the effortless data management Snowflake offers, enabling quick analysis without infrastructure concerns.
  • Users appreciate the user-friendly interface of Snowflake, making navigation easy and intuitive for SQL tasks.
  • Users value the strong integration ecosystem of Snowflake, which enhances versatility and simplifies data workflows seamlessly.
Cons
  • Users find Snowflake to be expensive, as costs can escalate quickly without careful usage monitoring and optimization.
  • Users highlight the high costs associated with Snowflake, especially for unoptimized workloads and usage spikes.
  • Users find cost management challenging, as compute expenses can escalate quickly without careful monitoring and optimization.
  • Users find the learning curve for advanced features in Snowflake steep, especially for newcomers needing rapid proficiency.
  • Users find feature limitations in Snowflake, particularly in cost management and control over optimization and dynamic scripting.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

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IBM watsonx.data

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data_Trial

Average Rating: 4.4/5.0

Total Reviews: 171

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How Do G2 Users Rate IBM watsonx.data?

  • Application: 5.8/10 (Category avg: 8.5/10)
  • Managed Service: 7.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM watsonx.data?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, facilitating efficient data management and analytics integration.
  • Users value the efficient querying and analytics capabilities of IBM watsonx.data, enhancing data handling for complex tasks.
  • Users value the efficient data management capabilities of IBM watsonx.data, enhancing analytics and reducing costs effectively.
  • Users value the robust integration with various AI tools, enhancing analytics and simplifying model management within IBM watsonx.data.
  • Users value the fast querying and analytics capabilities of IBM watsonx.data, enhancing insight extraction from large datasets.
Cons
  • Users face a steep learning curve with watsonx.data, especially regarding documentation and initial setup processes.
  • Users find the complexity of IBM watsonx.data challenging, requiring time and expertise for effective use.
  • Users find the pricing high and confusing, making it challenging for small teams to justify the expense.
  • Users face a difficult setup with IBM watsonx.data, requiring extensive configuration and detailed documentation for effective use.
  • Users find difficulty in setup and documentation, requiring time and expertise to effectively utilize watsonx.data.

What Are Recent G2 Reviews of IBM watsonx.data?

Hex

Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now > https://app.hex.tech/signup?source=g2 Get a demo > https://hex.tech/request-a-demo/?source=g2

Average Rating: 4.5/5.0

Total Reviews: 431

How Do G2 Users Rate Hex?

  • Application: 6.9/10 (Category avg: 8.5/10)
  • Managed Service: 6.8/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 5.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Hex?

  • Seller: Hex Tech
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    280 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Medium, 22% Small

What Do G2 Reviewers Say About Hex?

AI-generated summary from verified user reviews

Pros
  • Users commend Hex for its ease of use, enabling effortless data analysis without needing extensive technical skills.
  • Users appreciate the ease of use with SQL queries in Hex, enhancing efficiency and data exploration for all team members.
  • Users appreciate the ease of use and efficient data manipulation in Hex, enhancing their data management experience.
  • Users value the efficient SQL querying in Hex, enhancing team collaboration and simplifying data exploration with AI features.
  • Users praise Hex for its effortless data analysis, enabling self-service insights with powerful AI tools and user-friendly features.
Cons
  • Users find Hex's limited features frustrating, noting a lack of options and poor usability affecting overall experience.
  • Users find Hex lacking in essential features like multiple modes and basic coding shortcuts, affecting usability.
  • Users find Hex lacking features, particularly in missing shortcuts and having confusing modes and permissions.
  • Users note the limited visualization options in Hex, hindering their ability to create effective dashboards and graphics.
  • Users express concerns about data management issues, including inaccuracies and organization challenges in Hex's workbooks.

What Are Recent G2 Reviews of Hex?

What Are G2 Users Discussing About Hex?

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: 256

How Do G2 Users Rate Dataiku?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Dataiku?

  • Seller: Dataiku
  • Company Website:
  • Year Founded: 2013
  • HQ Location: New York, NY
  • 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, 22% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Dataiku, facilitating intuitive workflows for both coders and non-coders alike.
  • Users value the intuitive AI features of Dataiku, enhancing collaboration and streamlining data workflows effectively.
  • Users appreciate the intuitive usability of Dataiku, enhancing collaboration and speeding up AI project delivery.
  • Users value the easy integrations of Dataiku, enhancing collaboration and streamlining workflows effectively.
  • Users value the productivity improvement in Dataiku, enjoying streamlined AI project workflows and enhanced collaboration.
Cons
  • Users find the steep learning curve of Dataiku daunting, especially for first-time and non-technical users.
  • Users find the steep learning curve of Dataiku challenging, especially for smaller teams or simpler projects.
  • Users experience slow performance when managing large datasets, which impacts efficiency and overall user satisfaction.
  • Users find the difficult learning experience due to Dataiku's overwhelming features and steep learning curve for newcomers.
  • Users find Dataiku expensive, with high costs deterring small companies and limiting accessibility for individual users.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 932

How Do G2 Users Rate Alteryx?

  • Application: 8.7/10 (Category avg: 8.5/10)
  • Managed Service: 7.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.9/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

Posit Team

Posit is a Public Benefit Corporation building open-source software and an enterprise data science platform. We created the RStudio IDE, Shiny, Positron, and Quarto — tools used by millions of data scientists, machine learning engineers, and researchers worldwide, including teams at 25% of the Fortune Global 100. Our commercial products help organizations put those tools into production: Posit Workbench provides centralized development environments supporting Positron, RStudio, VS Code, and Jupyter; Posit Connect handles publishing and deployment for Shiny, AI applications, Streamlit, Dash, FastAPI, Flask, Bokeh, and more; and Posit Package Manager provides security-compliant package management for R and Python.

Average Rating: 4.5/5.0

Total Reviews: 569

How Do G2 Users Rate Posit Team?

  • Application: 8.4/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.6/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Posit Team?

  • Seller: Posit
  • Year Founded: 2009
  • HQ Location: Boston, US
  • LinkedIn® Page: www.linkedin.com
    439 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Research Assistant, Graduate Research Assistant
  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 49% Large, 26% Medium

What Do G2 Reviewers Say About Posit Team?

AI-generated summary from verified user reviews

Pros
  • Users commend Posit Team for its ease of use, enabling smooth workflows and efficient data analysis without unnecessary distractions.
  • Users praise the ease of use and integration in Posit, enhancing productivity and focus on data analysis.
  • Users value Posit Team's strong commitment to open source, enhancing their experience with excellent software and community support.
  • Users commend the reliable customer support of Posit Team, making their data science journey seamless and efficient.
  • Users value the easy integrations of Posit Team, enhancing their workflow and simplifying setups with other tools.
Cons
  • Users experience slow performance with large datasets, affecting workflow and necessitating improvements for a smoother usage.
  • Users find the learning curve challenging, especially for beginners trying to grasp advanced features initially.
  • Users often face performance issues with Posit, particularly when handling larger datasets and needing more powerful hardware.
  • Users find the steep learning curve of Posit Team challenging, especially for beginners navigating advanced features.
  • Users experience lagging performance with Posit, particularly with large datasets, impacting productivity and workflow continuity.

What Are Recent G2 Reviews of Posit Team?

What Are G2 Users Discussing About Posit Team?

IBM watsonx.ai

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can build, train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.

Average Rating: 4.4/5.0

Total Reviews: 149

How Do G2 Users Rate IBM watsonx.ai?

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

Who Is the Company Behind IBM watsonx.ai?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Small, 34% Large

What Do G2 Reviewers Say About IBM watsonx.ai?

AI-generated summary from verified user reviews

Pros
  • Users find IBM watsonx.ai extremely user-friendly, appreciating its ease of setup and convenience for real enterprise needs.
  • Users appreciate the model variety in Watsonx.ai, enabling tailored experiences through customizable, user-friendly interfaces.
  • Users value the integrated platform of IBM watsonx.ai for simplifying enterprise-grade AI development and management.
  • Users appreciate the integrated studio for enterprise-grade AI, making model testing and experimentation user-friendly and efficient.
  • Users find IBM watsonx.ai impressive for its enterprise-grade AI capabilities that simplify building and managing AI models.
Cons
  • Users find the difficult learning curve of IBM watsonx.ai intimidating, especially for those new to the platform.
  • Users often experience a steep learning curve and complexity with IBM watsonx.ai, making it daunting for newcomers.
  • Users frequently face a steep learning curve with IBM watsonx.ai, finding initial setup and navigation overwhelming.
  • Users find the cost to be quite high, especially for small teams that may struggle with complexity.
  • Users note the need for improved onboarding and transparency in IBM watsonx.ai for a smoother experience.

What Are Recent G2 Reviews of IBM watsonx.ai?

Anaconda Core

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is available across hybrid AI environments and cloud platforms such as AWS, Microsoft Azure, Databricks, Snowflake and more with backing from world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Average Rating: 4.5/5.0

Total Reviews: 234

How Do G2 Users Rate Anaconda Core?

  • Application: 8.9/10 (Category avg: 8.5/10)
  • Managed Service: 8.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.5/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Anaconda Core?

Who Uses This Product?

  • Who Uses This: Student, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Small, 25% Large

What Do G2 Reviewers Say About Anaconda Core?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Anaconda Core exceptional, simplifying data science workflows for beginners and experts alike.
  • Users find Anaconda Core's setup ease invaluable, simplifying environment management and enhancing focus on data analysis tasks.
  • Users commend Anaconda Core for its efficiency in dependency management, simplifying environment setup and enhancing productivity.
  • Users appreciate the intuitive interface of Anaconda Core, enhancing their learning experience in data analysis and machine learning.
  • Users love the coding ease of Anaconda Core, facilitating quick setup and seamless project management in data science.
Cons
  • Users face data management issues with Anaconda due to outdated packages and its large installation size affecting performance.
  • Users often experience slow performance, especially with resource-heavy installations and sluggish dependency resolution in Anaconda Core.
  • Users find Anaconda Core lacking features due to overwhelming package installations and poor feature descriptions.
  • Users feel that the limited features of Anaconda Core hinder usability and access to the latest updates.
  • Users are concerned about the limited storage requirements of Anaconda Core, which can strain available disk space.

What Are Recent G2 Reviews of Anaconda Core?

What Are G2 Users Discussing About Anaconda Core?

Deepnote

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. 🔗 Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click.

Average Rating: 4.5/5.0

Total Reviews: 384

How Do G2 Users Rate Deepnote?

  • Application: 8.0/10 (Category avg: 8.5/10)
  • Managed Service: 7.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.2/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Deepnote?

  • Seller: Deepnote
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco , US
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Data Analyst
  • Top Industries: Computer Software, Higher Education
  • Company Size: 67% Small, 25% Medium

What Do G2 Reviewers Say About Deepnote?

AI-generated summary from verified user reviews

Pros
  • Users find Deepnote's ease of use invaluable for collaborative data science, enhancing productivity and streamlining workflows.
  • Users value the real-time collaboration features of Deepnote, enhancing teamwork and streamlining workflows effortlessly.
  • Users appreciate the easy integrations in Deepnote, enhancing collaboration and streamlining access to data sources and analysis.
  • Users value the real-time collaboration in Deepnote, enhancing teamwork and streamlining the workflow effectively.
  • Users value the seamless data management in Deepnote, enhancing collaboration and analysis through intuitive integrations and features.
Cons
  • Users experience slow performance in Deepnote, especially with larger notebooks and when running queries or reports.
  • Users feel that Deepnote has limited features which hinder its full potential for AI app integration and usability.
  • Users experience data management issues in Deepnote, particularly with context maintenance and cluttered cell generation during AI interactions.
  • Users find the missing features in Deepnote limiting, particularly for AI app development and data visualization improvements.
  • Users find Deepnote lacking features for integration and usability, hindering their overall data analysis experience.

What Are Recent G2 Reviews of Deepnote?

What Are G2 Users Discussing About Deepnote?

Loxo

Loxo is the #1 Talent Intelligence Platform, trusted by more than 125,000 recruiting professionals worldwide. Loxo brings together everything recruiting teams need to find, engage, and hire great talent in one AI-native system. Built for independent recruiters, executive search firms, staffing and recruiting agencies, RPOs, in-house talent acquisition teams, and enterprise organizations, Loxo combines an Applicant Tracking System (ATS), Recruiting CRM, AI-powered sourcing, multi-channel outreach, Sales CRM, proprietary talent intelligence, and an AI Agent Workforce into one connected platform. Since 2012, Loxo has been developing proprietary AI and machine learning technology specifically for recruiting, helping teams eliminate repetitive work, make better decisions, and spend more time building relationships. Because it shouldn't take 10+ tools to make one hire. Loxo gives you everything you need to recruit, in one place, including: * Applicant Tracking System (ATS): Manage jobs, candidates, pipelines, activities, and placements in one centralized workspace. * AI-powered Recruiting CRM: Build and nurture candidate relationships with a searchable database that stays current with help from Loxo's Self-Updating CRM Agent. * Loxo Source: Search more than 850 million professional profiles alongside your own database, using natural language search, advanced filters, and AI-powered matching. * Contact information and enrichment: Access professional emails, phone numbers, and enriched candidate data. * Multi-channel outreach: Personalize email, SMS, and calling campaigns while automating follow-ups. * Sales CRM: Manage business development, client relationships, and prospecting alongside your recruiting workflow. * Hiring manager collaboration: Share candidates and collect feedback through Loxo's Hiring Manager Portal. * Analytics and reporting: Track recruiting performance, identify bottlenecks, and make data-driven decisions. Meet your AI Agentic Workforce Loxo's purpose-built AI agents take on time-consuming work across the recruiting lifecycle, freeing recruiters to focus on what they do best: building relationships, applying their expertise, and making the decisions that move searches forward. The Job Intake Agent captures and structures hiring requirements. The Job Description & Skill DNA Agent identifies the qualifications that matter. Longlist and Shortlist Agents source, and evaluate candidates, providing evidence-based recommendations. Meanwhile, Self-Updating CRM, Data Hygiene, and Deduplication Agents help maintain accurate recruiting data. Loxo's AI Notetaker and AI Chat further reduce administrative work and make recruiting information more accessible. Together, these capabilities help teams move from job intake to qualified shortlists with less manual effort, while keeping recruiters in control of candidate engagement and hiring decisions. Built to help recruiting teams grow From independent recruiters to enterprise talent acquisition organizations, Loxo helps teams deliver consistent recruiting quality, gain visibility into performance, and increase productivity without adding unnecessary complexity. Every search benefits from connected data, shared workflows, and recruiting intelligence that grows more valuable over time. One connected platform. A more intelligent recruiting workflow. Less time spent on repetitive work, and more time finding, engaging, and hiring the right people. But don't take our word for it. Check out our reviews to see how much our customers love working with Loxo. And visit loxo.co to book a personalized demo any time!

Average Rating: 4.6/5.0

Total Reviews: 203

How Do G2 Users Rate Loxo?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Loxo?

  • Seller: Loxo
  • Year Founded: 2012
  • HQ Location: Austin, Texas
  • LinkedIn® Page: www.linkedin.com
    159 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Managing Director, Founder
  • Top Industries: Staffing and Recruiting, Information Technology and Services
  • Company Size: 94% Small, 6% Medium

What Do G2 Reviewers Say About Loxo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Loxo, finding it intuitive and efficient for recruitment processes.
  • Users value the intuitive layout and clean UX/UI of Loxo, making navigation effortless and secure.
  • Users appreciate the time-saving automation of Loxo, making the recruitment process quick and efficient.
  • Users appreciate the intuitive and efficient platform of Loxo, which streamlines recruitment through automation and continuous updates.
  • Users love the intuitive design of Loxo, making recruitment fast, easy, and user-friendly.
Cons
  • Users find the limited customization options in Loxo insufficient for the price, affecting functionality and user experience.
  • Users express frustration with the poor candidate management system that lacks distinction and reliable contact data.
  • Users often face email functionality issues, with poor deliverability and frustrating changes negatively impacting their experience.
  • Users face notable improvement needed in Loxo due to setup complexity and lack of essential features.
  • Users are frustrated by missing features like dark mode, SMS support, and confusing UX/UI changes in Loxo.

What Are Recent G2 Reviews of Loxo?

What Are G2 Users Discussing About Loxo?

KNIME

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

Average Rating: 4.5/5.0

Total Reviews: 126

How Do G2 Users Rate KNIME?

  • Application: 8.5/10 (Category avg: 8.5/10)
  • Managed Service: 7.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.2/10 (Category avg: 8.6/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 32% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in KNIME invaluable, allowing non-technical individuals to efficiently build workflows.
  • Users love the coding ease of KNIME, making data analysis accessible to both beginners and non-technical users.
  • Users find KNIME to have a user-friendly learning curve, enabling quick access to data solutions without coding skills.
  • Users find KNIME to be a user-friendly learning experience that simplifies complex data analysis without coding.
  • Users appreciate the user-friendly data visualization tools of KNIME, making complex tasks accessible for all skill levels.
Cons
  • Users find the initial learning difficulty in KNIME challenging, especially for those new to data science concepts.
  • Users often face memory availability issues with KNIME, impacting performance and usability, especially with large files.
  • Users often face storage limitations, experiencing memory availability issues and slow performance with large files in KNIME.
  • Users feel that data management issues like file handling and reading from databases hinder their experience with KNIME.
  • Users note the lack of learning resources for KNIME, which hinders their ability to fully utilize the tool.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

Intelligence Center X AI Studio

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

Average Rating: 4.6/5.0

Total Reviews: 511

How Do G2 Users Rate Intelligence Center X AI Studio?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.6/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Intelligence Center X AI Studio?

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 42% Small, 31% Large

What Do G2 Reviewers Say About Intelligence Center X AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of Intelligence Center X AI Studio, enabling efficient machine learning without coding.
  • Users value the user-friendly machine learning access of Intelligence Center X AI Studio, simplifying model building and deployment.
  • Users appreciate the seamless AI integration of Intelligence Center X AI Studio, enhancing productivity and simplifying workflows.
  • Users benefit from the advanced machine learning and automation capabilities of Intelligence Center X AI Studio, enhancing decision-making.
  • Users value the automation features of Intelligence Center X AI Studio for enhancing efficiency in data processes.
Cons
  • Users find the complexity of the platform challenging, especially with unclear documentation and lack of multilingual support.
  • Users face slow performance and freezing issues when managing large datasets in Intelligence Center X AI Studio.
  • Users experience slow performance and freezing issues, especially when managing large or complex datasets in Intelligence Center X AI Studio.
  • Users find the product complicated and struggle with the lack of support in Japanese, affecting usability.
  • Users find the complexity of usage in Intelligence Center X AI Studio challenging, especially with limited support in Japanese.

What Are Recent G2 Reviews of Intelligence Center X AI Studio?

What Are G2 Users Discussing About Intelligence Center X AI Studio?

Saturn Cloud

Saturn Cloud is the AI token factory platform for neoclouds, AI Factory operators, and enterprises. It turns GPU infrastructure into managed services for fine-tuning, model serving, and per-token billing, with standard inference endpoints, distributed training, and managed environments. Enterprise security and governance are built in, across public, private, and on-premises environments. Learn more at saturncloud.io.

Average Rating: 4.8/5.0

Total Reviews: 320

How Do G2 Users Rate Saturn Cloud?

  • Application: 9.1/10 (Category avg: 8.5/10)
  • Managed Service: 9.1/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Saturn Cloud?

Who Uses This Product?

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

What Do G2 Reviewers Say About Saturn Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Saturn Cloud, enabling quick setup and seamless integration with familiar tools.
  • Users value the superior GPU performance of Saturn Cloud, enabling rapid development and efficient data processing.
  • Users value the exceptional computing power of Saturn Cloud that supports large datasets and complex workloads effectively.
  • Users appreciate the ease of setup with Saturn Cloud, allowing for quick onboarding and resource access.
  • Users value the easy integrations with Dask and Jupyter, enhancing productivity and workflow for data tasks.
Cons
  • Users find the pricing structure expensive and confusing, especially with high-end instances and student plans.
  • Users find the missing features concerning, particularly in terms of storage for large datasets and custom images.
  • Users find the complexity of the tool challenging, particularly in documentation and initial setup for projects.
  • Users find the poor documentation lacking, making it challenging to navigate advanced features and configurations.
  • Users find the difficult setup of Saturn Cloud to be challenging initially, but easier after familiarization.

What Are Recent G2 Reviews of Saturn Cloud?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 21, 2026