# 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:** 1,047

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 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
- 14,300+ Authentic Reviews
- 1,047+ 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](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=1308796&focus%5B%5D=10938&focus%5B%5D=67045&focus%5B%5D=24457&focus%5B%5D=162504)

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

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

**Sponsored**

### 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.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=692&secure%5Bchosen_at%5D=2026-08-18T00%3A40%3A41Z&secure%5Bdisplayable_resource_id%5D=692&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=692&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%2Ffree&secure%5Btoken%5D=2e1b440acb8fc7065caeac5642ca3b41b1b3494bbb9d67c0fe160369f50471a8&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Databricks](https://www.g2.com/products/databricks/reviews)

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:** 1,336

#### 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: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Large, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **ease of use and extensive features** of Databricks, streamlining data warehousing and machine learning tasks.
- Users appreciate the **ease of use** of Databricks, enhancing their experience with its intuitive interface and efficient features.
- Users value the **seamless integrations with AWS services** that enhance efficiency and support diverse business needs.
- Users value the **seamless collaboration** provided by Databricks, enhancing teamwork on data projects and insights sharing.
- Users value the **wide array of integrated analytical features** in Databricks, enhancing efficiency and collaboration in data projects.

##### Cons

- Users face a **steep learning curve** with Databricks, as its complexity can be confusing for newcomers.
- Users note that the **cost of Databricks can be quite high** , particularly for large data projects and limited free options.
- Users find the **steep learning curve** of Databricks challenging, particularly for those unfamiliar with big data tools.
- Users find the **complexity** of Databricks challenging, especially during initial setup and navigation of advanced features.
- Users encounter **complex setup** challenges with Databricks initially, but support helps resolve issues quickly.

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

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

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

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

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:** 775

#### 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: 8.2/10)
- **Ease of Admin:** 7.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Viya?

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

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in SAS Viya, enhancing data visualization and decision-making for businesses.
- Users appreciate the **advanced analytical capabilities** of SAS Viya, making data analysis and decision-making more efficient.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enhancing decision-making and insights from diverse data sources.
- Users value the **end-to-end data lifecycle tooling** in SAS Viya, enhancing insights and strategic decision-making capabilities.
- Users commend SAS Viya for its **user-friendly interface** , making complex analytics accessible to individuals of all skill levels.

##### Cons

- Users find SAS Viya **difficult for non-technical users** to navigate, impacting ease of access to reports and dashboards.
- Users find the **learning curve challenging** , especially for non-technical individuals navigating reports and dashboards.
- Users find the **visualization complexity** of SAS Viya challenging, especially for those without technical expertise.
- Users find the **difficult learning curve** for SAS Viya challenging, especially for non-technical users attempting to access features.
- Users find the **expensive pricing** of SAS Viya a potential barrier, complicating their decision-making process.

#### What Are Recent G2 Reviews of SAS Viya?

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

#### What Are G2 Users Discussing About SAS Viya?

- [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [Snowflake](https://www.g2.com/products/snowflake/reviews)

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:** 4.5/5.0

**Total Reviews:** 713

#### 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: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Snowflake?

- **Seller:** [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)
- **Company Website:** www.snowflake.com
- **Year Founded:** 2012
- **HQ Location:** 135 Constitution Drive, Menlo Park CA
- **Twitter:** @SnowflakeDB  
278 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ad18ff73a9b8bb34dd1b98a6ba1c6be57f7364939ad352612ecc483aba05d2b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsnowflake-computing%2F&secure%5Burl_type%5D=linkedin_company_website)  
11,308 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Medium, 43% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Snowflake, which simplifies data sharing and enhances productivity across teams.
- Users value the **reliable features and user-friendly interface** of Snowflake, enhancing data management and analytics efficiency.
- Users appreciate the **ease of use and efficient data integration** in Snowflake for their warehousing projects.
- Users value the **seamless scalability** of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
- Users value the **fast and efficient data processing** capabilities of Snowflake, enhancing their analysis experience significantly.

##### Cons

- Users highlight the **high costs** of Snowflake, making it less accessible for smaller businesses with limited budgets.
- Users find **feature limitations** in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
- Users find the **learning curve steep** , requiring training due to its complexity and overwhelming interface for beginners.
- Users often struggle with **high costs** due to unoptimized queries and inadequate cost control measures in Snowflake.
- Users find the **cost structure challenging** , requiring time to optimize for efficient use of Snowflake.

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

**["Elastic Scaling and Fast Analytics with Snowflake"](https://www.g2.com/survey_responses/snowflake-review-13129003)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-13129003)

**["Snowflake Simplifies Data Management at Scale"](https://www.g2.com/survey_responses/snowflake-review-12898129)**

**Rating:** 4.0/5.0 stars

_— Harshil A._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-12898129)

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

- [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote

### [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)

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:** 168

#### 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: 8.2/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM watsonx.data?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Information Technology and Services, Computer Software
- **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, finding it reliable and efficient for data management.
- Users value the **seamless data integration** and user-friendly interface of IBM watsonx.data for efficient analytics.
- Users appreciate the **organized and efficient data management** of IBM watsonx.data, simplifying analytics and enhancing team collaboration.
- Users value the **seamless data source integration** of IBM watsonx.data, enhancing efficiency and flexibility in their workflows.
- Users appreciate the **flexible analytics capabilities** of IBM watsonx.data, enabling faster insights from diverse data sources.

##### Cons

- Users find the **steep learning curve** of IBM watsonx.data challenging, hindering easy adoption for newcomers.
- Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers and small teams.
- Users find the **pricing steep** for IBM watsonx.data, especially for smaller businesses with limited resources.
- Users find the **difficult setup** process time-consuming, with a steep learning curve and extensive documentation review required.
- Users find **performance tuning difficult** with IBM watsonx.data, especially for beginners and teams with limited IT resources.

#### What Are Recent G2 Reviews of IBM watsonx.data?

**["Flexible and Scalable Data Platform for Analytics and AI"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034)**

**Rating:** 5.0/5.0 stars

_— Nishant V._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034)

**["Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)**

**Rating:** 4.0/5.0 stars

_— Aliasgar B._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)

### [Hex](https://www.g2.com/products/hex-tech-hex/reviews)

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:** 403

#### 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: 8.2/10)
- **Ease of Admin:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Hex?

- **Seller:** [Hex Tech](https://www.g2.com/sellers/hex-tech)
- **Company Website:** hex.tech
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @\_hex\_tech  
6,982 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=18531fc4e6d51a8771f4a2f229024fea767874199650a484a62b89cd4abe5f24&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhex-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
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 find Hex to be **user-friendly** , highlighting its seamless integrations and fast implementation as major advantages.
- Users love the **seamless integration of SQL with Python** , enhancing their analytical capabilities in Hex effortlessly.
- Users appreciate the **seamless data management** capabilities of Hex, enabling effortless integration and collaboration.
- Users value the **effortless integration of SQL and Python** in Hex, enhancing data analysis and visualization capabilities.
- Users appreciate the **seamless data analysis and reporting** capabilities of Hex, enhancing collaboration and interactivity.

##### Cons

- Users criticize the **limited features** of Hex, noting insufficient capabilities compared to standard BI tools like Tableau.
- Users find the **missing features** in Hex frustrating, desiring better data visualization and result management capabilities.
- Users find Hex **lacking features** , especially in dashboarding and advanced functionalities that impact usability and efficiency.
- Users experience **slow performance** with Hex, especially within virtual machines and due to limited computational capacity.
- Users often face **data management issues** with kernel failures and GPU integration, complicating their experience with Hex.

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

**["All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards"](https://www.g2.com/survey_responses/hex-review-13125920)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/hex-review-13125920)

**["Amazing AI and SQL Autocomplete That Speeds Up My Work"](https://www.g2.com/survey_responses/hex-review-12687305)**

**Rating:** 4.0/5.0 stars

_— Paco R._

[Read full review](https://www.g2.com/survey_responses/hex-review-12687305)

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

- [What is Hex Technologies used for?](https://www.g2.com/discussions/what-is-hex-technologies-used-for)

### [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)

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:** 143

#### 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: 8.2/10)
- **Ease of Admin:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM watsonx.ai?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 40% Small, 32% Large

#### What Do G2 Reviewers Say About IBM watsonx.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of IBM watsonx.ai, facilitating straightforward integration and model development.
- Users value the **wide range of model types** in IBM watsonx.ai, enhancing flexibility and efficiency in development.
- Users appreciate the **user-friendly platform** that simplifies building and deploying AI models efficiently and effectively.
- Users appreciate the **user-friendly AI studio** of IBM watsonx.ai, enabling efficient chatbot creation with minimal coding.
- Users appreciate the **enterprise-grade AI** of IBM watsonx.ai, which integrates seamlessly for practical, reliable business solutions.

##### Cons

- Users find the **difficult learning** curve challenging, indicating the need for clearer documentation and better onboarding support.
- Users find the **complexity** of IBM watsonx.ai challenging, especially for beginners and small teams seeking easier solutions.
- Users find the **steep learning curve** of IBM watsonx.ai challenging, making it less approachable for non-technical teams.
- Users express concerns about the **high costs** of IBM watsonx.ai, finding it challenging and not budget-friendly for small teams.
- Users find the **complex setup** of IBM watsonx.ai challenging, especially for newcomers and small teams seeking ease of use.

#### What Are Recent G2 Reviews of IBM watsonx.ai?

**["IBM watsonx.ai Makes It Easy to Bring Foundation Models into Real Business Workflows"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13271627)**

**Rating:** 4.5/5.0 stars

_— Balaji S._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13271627)

**["Unified, Governed AI Studio with Strong Performance and Seamless IBM Integrations"](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421)**

**Rating:** 4.0/5.0 stars

_— Manan S._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-13184421)

### [Dataiku](https://www.g2.com/products/dataiku/reviews)

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:** 213

#### 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: 8.2/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Dataiku?

- **Seller:** [Dataiku](https://www.g2.com/sellers/dataiku)
- **Company Website:** Dataiku.com
- **Year Founded:** 2013
- **HQ Location:** New York, NY
- **Twitter:** @dataiku  
22,917 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e59ec8fccc02ecc4f883419e54da56d3f6fc8b1e556153f0cc01cd05e3b77faa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataiku%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,619 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist, Data Analyst
- **Top Industries:** Financial Services, Pharmaceuticals
- **Company Size:** 60% Large, 22% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate how **Dataiku simplifies ML development** , enabling quick training, evaluation, and understanding of data easily.
- Users find Dataiku **easy to use** , simplifying ML development and helping detect opportunities and risks effortlessly.
- 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 find the **difficult learning** curve challenging for beginners, impacting their ability to maximize the platform's potential.
- Users face **slow performance** with Dataiku when managing large datasets, impacting efficiency and productivity.
- Users find the **pricing high** for small companies and students, impacting accessibility for basic projects.

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

**["Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity"](https://www.g2.com/survey_responses/dataiku-review-13125252)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13125252)

**["Build Faster Workflows with Connected Data from many providers or distinct data sources"](https://www.g2.com/survey_responses/dataiku-review-13120436)**

**Rating:** 4.5/5.0 stars

_— Adalberto G._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13120436)

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

- [Is Dataiku an ETL tool?](https://www.g2.com/discussions/is-dataiku-an-etl-tool)
- [Is Dataiku web based?](https://www.g2.com/discussions/is-dataiku-web-based)
- [What is DSS Dataiku?](https://www.g2.com/discussions/what-is-dss-dataiku)
- [What is Dataiku DSS used for?](https://www.g2.com/discussions/what-is-dataiku-dss-used-for)

### [Deepnote](https://www.g2.com/products/deepnote/reviews)

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:** 382

#### 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: 8.2/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deepnote?

- **Seller:** [Deepnote](https://www.g2.com/sellers/deepnote)
- **Company Website:** www.deepnote.com
- **Year Founded:** 2019
- **HQ Location:** San Francisco , US
- **Twitter:** @DeepnoteHQ  
5,239 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0d297cbb8d96f5409e14da076c1669be4aa5b9bc29dd1db4c4a0ea90b79466ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdeepnote&secure%5Burl_type%5D=linkedin_company_website)  
17 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** enhances collaboration and simplifies data analysis with its intuitive interface.
- Users value the **seamless collaboration** capabilities of Deepnote, enhancing teamwork and efficiency in data projects.
- Users value the **real-time collaboration** capabilities of Deepnote, enhancing teamwork and efficiency in analytics processes.
- Users value the **easy integrations** in Deepnote, enabling faster development and seamless data management across platforms.
- Users find **data management effortless** with Deepnote, benefiting from easy integrations and seamless analysis capabilities.

##### Cons

- Users notice **slow performance** when handling large datasets, affecting analysis speed and user experience.
- Users find the **limited features** of Deepnote restricts their ability to fully utilize its potential.
- Users experience **data management issues** with slow performance and an unintuitive file management system, affecting usability.
- Users experience **lagging performance** with Deepnote, particularly when processing large datasets, affecting efficiency during critical tasks.
- Users face **slow loading times** in Deepnote, particularly with larger projects, which can hinder productivity and frustrate experiences.

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

**["Real-Time Collaboration That Makes Lab Work Easy"](https://www.g2.com/survey_responses/deepnote-review-13100282)**

**Rating:** 5.0/5.0 stars

_— Gabriel P._

[Read full review](https://www.g2.com/survey_responses/deepnote-review-13100282)

**["Deepnote Makes Team Data Work Seamless with Real-Time Collaboration"](https://www.g2.com/survey_responses/deepnote-review-13121723)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/deepnote-review-13121723)

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

- [How do you use a deep note?](https://www.g2.com/discussions/how-do-you-use-a-deep-note)
- [Is Deepnote open source?](https://www.g2.com/discussions/is-deepnote-open-source)
- [Is Deepnote good?](https://www.g2.com/discussions/is-deepnote-good) - 1 comment
- [Is Deepnote better than Colab?](https://www.g2.com/discussions/is-deepnote-better-than-colab) - 1 comment

### [Anaconda Core](https://www.g2.com/products/anaconda-core/reviews)

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:** 235

#### 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: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Anaconda Core?

- **Seller:** [Anaconda, Inc.](https://www.g2.com/sellers/anaconda-inc)
- **Year Founded:** 2012
- **HQ Location:** Austin, Texas
- **Twitter:** @anacondainc  
83,629 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=525cb36a449061f83743ed7d1f6955ab9666c32bc6b998820814d76556af4f40&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25029553%2F&secure%5Burl_type%5D=linkedin_company_website)  
580 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Student
- **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 value the **ease of use** of Anaconda Core, making package management and installation simple across platforms.
- Users find the **setup ease** of Anaconda Core remarkable, making project initiation and package management simple and efficient.
- Users value the **efficiency** of Anaconda Core, enhancing productivity and simplifying the workflow for data science projects.
- Users appreciate the **intuitive design** of Anaconda Core, facilitating efficient project management and easy navigation.
- Users enjoy the **coding ease** provided by Anaconda Core, simplifying package management and enhancing productivity in data science.

##### Cons

- Users face **data management issues** with Anaconda Core, including large installations and challenges with backup and integration.
- Users experience **slow performance** with Anaconda Core, particularly during installation and on older hardware, affecting usability.
- Users find the **limited features** of Anaconda Core insufficient, impacting their ability to fully utilize the platform.
- Users find the **limited features** of Anaconda Core hinder their experience and reduce functionality compared to competitors.
- Users report a **limited storage** concern, finding the Anaconda Core installation size cumbersome for their devices.

#### What Are Recent G2 Reviews of Anaconda Core?

**["All-in-One Toolkit for Data Science Workflows"](https://www.g2.com/survey_responses/anaconda-core-review-12706297)**

**Rating:** 4.5/5.0 stars

_— Melissa F._

[Read full review](https://www.g2.com/survey_responses/anaconda-core-review-12706297)

**["Great for Learning, Needs a Friendlier Interface"](https://www.g2.com/survey_responses/anaconda-core-review-12253770)**

**Rating:** 4.0/5.0 stars

_— Firdavs S._

[Read full review](https://www.g2.com/survey_responses/anaconda-core-review-12253770)

#### What Are G2 Users Discussing About Anaconda Core?

- [Is Anaconda free for companies?](https://www.g2.com/discussions/anaconda-is-anaconda-free-for-companies) - 2 comments, 1 upvote
- [Is Anaconda free for companies?](https://www.g2.com/discussions/is-anaconda-free-for-companies) - 1 comment, 1 upvote
- [Is Anaconda good for machine learning?](https://www.g2.com/discussions/anaconda-is-anaconda-good-for-machine-learning) - 1 comment, 1 upvote
- [Is Anaconda good for machine learning?](https://www.g2.com/discussions/is-anaconda-good-for-machine-learning) - 1 comment
- [What is Anaconda software used for?](https://www.g2.com/discussions/anaconda-what-is-anaconda-software-used-for)

### [Posit Team](https://www.g2.com/products/posit-team/reviews)

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:** 568

#### 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: 8.2/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Posit Team?

- **Seller:** [Posit](https://www.g2.com/sellers/posit)
- **Year Founded:** 2009
- **HQ Location:** Boston, US
- **Twitter:** @posit\_pbc  
120,874 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=291e2e1530a4de1dc8ce16ea96948375d8dd3891a186f3101d5f2b110c8b2509&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1978648%2F&secure%5Burl_type%5D=linkedin_company_website)  
442 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 appreciate the **ease of use** of Posit Team, simplifying data analysis workflows and enhancing productivity.
- Users praise Posit for its **reliable performance** and **seamless integrations** , enhancing productivity and simplifying workflows.
- Users value Posit's **commitment to open source software** , enhancing productivity and integration with R programming.
- Users appreciate the **responsive and reliable customer support** of Posit Team, enhancing their overall experience and productivity.
- Users appreciate the **easy integrations** of Posit Team, enhancing their workflows with seamless compatibility with multiple tools.

##### Cons

- Users experience **slow performance** with large datasets, which disrupts workflow and demands higher system requirements.
- Users face a **steep learning curve** with Posit Team, making initial usage and advanced features challenging.
- Users report **performance issues** with Posit Team, particularly during use with larger datasets and frequent crashes.
- Users report a **steep learning curve** with Posit Team, making initial setup and advanced features challenging for newcomers.
- Users face **lagging performance** with Posit Team, especially when handling large datasets, impacting overall productivity.

#### What Are Recent G2 Reviews of Posit Team?

**["Posit Team Makes Biostatistical Work Reproducible, Collaborative, and Secure"](https://www.g2.com/survey_responses/posit-team-review-12977958)**

**Rating:** 5.0/5.0 stars

_— Donald S._

[Read full review](https://www.g2.com/survey_responses/posit-team-review-12977958)

**["Exceptional Open-Source Data Science Tools with Great Documentation and R/Python Support"](https://www.g2.com/survey_responses/posit-team-review-13022732)**

**Rating:** 5.0/5.0 stars

_— Omer F. Y._

[Read full review](https://www.g2.com/survey_responses/posit-team-review-13022732)

#### What Are G2 Users Discussing About Posit Team?

- [What is the difference between RStudio desktop and Rstudio server?](https://www.g2.com/discussions/what-is-the-difference-between-rstudio-desktop-and-rstudio-server)
- [What is the difference between R and R studio?](https://www.g2.com/discussions/what-is-the-difference-between-r-and-r-studio)
- [Is R Studio free?](https://www.g2.com/discussions/is-r-studio-free)
- [Which software is used for R programming?](https://www.g2.com/discussions/which-software-is-used-for-r-programming) - 1 comment

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

**Average Rating:** 4.6/5.0

**Total Reviews:** 861

#### 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: 8.2/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Alteryx, finding it simple to automate tasks with drag and drop functionality.
- Users value the **automation capabilities** of Alteryx, streamlining data processes and enhancing analytical efficiency.
- Users find Alteryx to be **very intuitive** , making it easy for non-technical users to learn and utilize.
- Users find that Alteryx's interface makes **learning technology easy** for everyone, even those without a tech background.
- Users value Alteryx for its **efficiency** in managing data, streamlining workflows, and enhancing overall productivity.

##### Cons

- Users highlight the **expensive pricing** of Alteryx, making it difficult for small teams or startups to afford licenses.
- Users face a **steep learning curve** with Alteryx, requiring time to master its complex features.
- Users find that Alteryx suffers from **missing features** , such as lack of direct database access and limited reporting tools.
- Users find the **learning difficulty** of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
- Users experience **slow performance** with Alteryx, particularly when handling large workflows and during data wrangling tasks.

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

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

### [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews)

Altair AI Studio (formerly RapidMiner 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. Altair 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. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

**Average Rating:** 4.6/5.0

**Total Reviews:** 504

#### How Do G2 Users Rate Altair 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: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Altair AI Studio?

- **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7)
- **Company Website:** www.altair.com
- **Year Founded:** 1985
- **HQ Location:** Troy, MI
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc40bf531df2ca2bbac9a40324b3bf94e73c14f7ec2b90b9b64c29defbdba7b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F8323%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,774 employees on LinkedIn®
- **Ownership:** NASDAQ:ALTR

#### Who Uses This Product?

- **Who Uses This:** Student, Data Scientist
- **Top Industries:** Higher Education, Education Management
- **Company Size:** 43% Small, 34% Large

#### What Do G2 Reviewers Say About Altair AI Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Altair AI Studio, finding its interface intuitive and beneficial for data tasks.
- Users value the **no-code machine learning capabilities** of Altair AI Studio, facilitating easy model creation and analysis.
- Users value the **seamless AI integration** of Altair AI Studio, enhancing decision-making and improving efficiency across organizations.
- Users appreciate the **advanced machine learning and data analytics** in Altair AI Studio for smarter decision-making and efficiency.
- Users value the **automation capabilities** of Altair AI Studio, enhancing efficiency in data processing and decision making.

##### Cons

- Users find the **complexity** of Altair AI Studio challenging, particularly with language support and integrating legacy systems.
- Users experience **slower performance** when handling large datasets in Altair AI Studio, affecting their efficiency and experience.
- Users experience **slow performance** when handling large datasets, leading to slowdowns or freezing during usage.
- Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support resources.
- Users find the **complex usage** of Altair AI Studio challenging, especially due to limited documentation and steep learning curve.

#### What Are Recent G2 Reviews of Altair AI Studio?

**["Empowers AI Development with Ease"](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589)**

**Rating:** 4.0/5.0 stars

_— Vivek C._

[Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-13205589)

**["Great tool for easy data analysis and testing of AI models"](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)**

**Rating:** 4.5/5.0 stars

_— Sanjeet S._

[Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)

#### What Are G2 Users Discussing About Altair AI Studio?

- [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment
- [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools)
- [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source)
- [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner)
- [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit)

### [Saturn Cloud](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews)

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage ML models with any stack, and give IT security the controls that work for your enterprise. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io

**Average Rating:** 4.8/5.0

**Total Reviews:** 321

#### 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: 8.2/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Saturn Cloud?

- **Seller:** [Saturn Cloud](https://www.g2.com/sellers/saturn-cloud)
- **Year Founded:** 2018
- **HQ Location:** New York, US
- **Twitter:** @saturn\_cloud  
3,279 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d7c242c396d7c27229bcc9791d0c1f6612fbe28bd40caa3e2936785d30e5c2d4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsaturn-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
41 employees on LinkedIn®

#### 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 value the **ease of use** of Saturn Cloud, appreciating its intuitive setup and versatile notebook options.
- Users appreciate the **powerful GPU performance** of Saturn Cloud, enabling faster simulations and efficient project development.
- Users appreciate the **powerful GPU resources** of Saturn Cloud, enhancing their learning projects with ease and robustness.
- Users enjoy the **easy setup** with Saturn Cloud, making it convenient to start working on projects quickly.
- Users appreciate the **easy integrations** of Saturn Cloud, enabling seamless access to powerful resources for their projects.

##### Cons

- Users find Saturn Cloud's pricing **expensive** compared to alternatives and suggest a more affordable plan for students.
- Users find the **complexity issues** of Saturn Cloud challenging, particularly with documentation and pricing confusion for beginners.
- Users struggle with **poor documentation** that complicates the learning process and hinders effective use of Saturn Cloud.
- Users find the **difficult setup** process challenging initially, but it improves with familiarity and updated documentation.
- Users find the **insufficient learning resources** challenging, particularly for beginners trying to master advanced features.

#### What Are Recent G2 Reviews of Saturn Cloud?

**["Saturn Cloud Boosts Data Science Productivity with Scalable Jupyter, Dask, and GPUs"](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-13125535)

**["Professional and user friendly"](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)**

**Rating:** 4.5/5.0 stars

_— zahra s._

[Read full review](https://www.g2.com/survey_responses/saturn-cloud-review-8279916)

### [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)

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:** 110

#### 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: 8.2/10)
- **Ease of Admin:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind KNIME?

- **Seller:** [KNIME](https://www.g2.com/sellers/knime)
- **Company Website:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
245 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 40% Large, 34% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
- Users find KNIME's **coding ease** remarkable, enabling effortless workflows without requiring extensive technical skills.
- Users find KNIME to be an **easy-to-learn platform** , enabling quick workflow creation without coding skills.
- Users find KNIME easy to learn and start delivering results, thanks to its **intuitive visual workflow interface**.
- Users love the **easy and intuitive data visualization** capabilities of KNIME, enhancing understanding and communication of data insights.

##### Cons

- Users find the **initial learning curve challenging** , especially for those unfamiliar with data science concepts and visual programming.
- Users face **memory usage issues** with KNIME, leading to slow performance, especially with larger files and operations.
- Users report **storage limitations** with KNIME, leading to performance issues and difficulties with large datasets.
- Users note that **data management issues** hinder their experience, especially with file handling and certain databases.
- Users find the **lack of learning resources** for KNIME to be a significant barrier to effective usage.

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

**["Powerful, Free Data ETL with an Intuitive Drag-and-Drop Interface"](https://www.g2.com/survey_responses/knime-review-13241518)**

**Rating:** 4.5/5.0 stars

_— Jared W._

[Read full review](https://www.g2.com/survey_responses/knime-review-13241518)

**["KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI"](https://www.g2.com/survey_responses/knime-review-12992618)**

**Rating:** 5.0/5.0 stars

_— Guylaine B._

[Read full review](https://www.g2.com/survey_responses/knime-review-12992618)

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

- [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for)
- [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment
- [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics)
- [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good)
- [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform)

### [IBM Decision Optimization](https://www.g2.com/products/ibm-decision-optimization/reviews)

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints. The solution incorporates powerful optimization solvers namely CPLEX Optimizer and CP Optimizer to solve the breadth of optimization problems including mathematical and constraint programming and constraint-based scheduling models. Learn more about this portfolio here https://www.ibm.com/analytics/decision-optimization IBM ILOG CPLEX Optimization Studio is one of the products within the IBM Decision Optimization portfolio. Organizations across industries are using IBM ILOG CPLEX Optimization Studio to drive operational efficiency and generate significant ROI by optimizing planning, scheduling, pricing and other business decisions. The offering provides users the flexibility to develop optimization models either using general programming language APIs like Python, Java, or using Optimization Programming Language (OPL). The powerful CPLEX optimization engines can deliver the power necessary to solve very large, real- world optimization problems at the speed required for today’s interactive decision optimization applications. Learn more about this product here - https://www.ibm.com/products/ilog-cplex-optimization-studio IBM Decision Optimization is also included within Watson Studio Premium for Cloud Pak for Data to enable data science teams to capitalize on the power of prescriptive analytics and build innovative solutions using a combination of techniques like machine learning and optimization. Data science teams can easily demonstrate business value of optimization by leveraging tools like visual dashboards & modeling assistant to quickly build models, test/evaluate multiple scenarios, solve using powerful optimization engines and deploy the models easily . IBM Decision Optimization solutions bring more than 30 years of experience in the field and is a proven optimization technology and organizations across industries are using IBM Decision Optimization solutions to run their mission-critical decision-making applications and have benefited by way of reduction in operating costs, increase in revenue and accelerated time to value.

**Average Rating:** 4.5/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate IBM Decision Optimization?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Decision Optimization?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 59% Large, 22% Small

#### What Are Recent G2 Reviews of IBM Decision Optimization?

**["In-depth analytics.. for a price."](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8681163)**

**Rating:** 4.5/5.0 stars

_— Andrew M._

[Read full review](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8681163)

**["leveraging data resources"](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8714924)**

**Rating:** 4.5/5.0 stars

_— James C._

[Read full review](https://www.g2.com/survey_responses/ibm-decision-optimization-review-8714924)

#### What Are G2 Users Discussing About IBM Decision Optimization?

- [What is IBM Decision Optimization used for?](https://www.g2.com/discussions/what-is-ibm-decision-optimization-used-for)
- [What is IBM ILOG cplex optimization studio?](https://www.g2.com/discussions/what-is-ibm-ilog-cplex-optimization-studio)
- [Which IBM offering would be considered best for Prescriptive Analytics?](https://www.g2.com/discussions/which-ibm-offering-would-be-considered-best-for-prescriptive-analytics)
- [What is decision optimization?](https://www.g2.com/discussions/what-is-decision-optimization)
- [What is IBM decision optimization?](https://www.g2.com/discussions/what-is-ibm-decision-optimization)

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