# 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:** 957

### Category Stats (Jul 2026)

- **Average Rating:** 4.46/5 (↑0.02 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** SutraAI (+14.29%) - Among all products in this category, SutraAI recorded the largest rating increase compared to last month

_Last updated: July 23, 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
- 14,000+ Authentic Reviews
- 957+ 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.

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

By [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)

[

4.6/5(1,348)

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

What do users say?

Users consistently praise the ease of use and powerful integration of Databricks, highlighting its ability to streamline data workflows and enhance collaboration across teams. The platform's unified a

Pros and Cons

[
Features (192)
](https://www.g2.com/products/databricks/reviews?qs=pros-and-cons)[
Learning Curve (78)
](https://www.g2.com/products/databricks/reviews?qs=pros-and-cons)

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

By [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)

[

4.3/5(816)

](https://www.g2.com/products/sas-sas-viya/reviews)

What do users say?

Users consistently praise the intuitive interface and powerful analytics capabilities of SAS Viya, which facilitate efficient data management and analysis. The platform's ability to integrate with var

Pros and Cons

[
Ease of Use (234)
](https://www.g2.com/products/sas-sas-viya/reviews?qs=pros-and-cons)[
Learning Difficulty (151)
](https://www.g2.com/products/sas-sas-viya/reviews?qs=pros-and-cons)

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

By [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)

[

4.5/5(759)

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

What do users say?

Users consistently praise Snowflake for its ease of use and scalability, allowing teams to manage large datasets without heavy infrastructure. The platform's separation of compute and storage enhances

Pros and Cons

[
Ease of Use (183)
](https://www.g2.com/products/snowflake/reviews?qs=pros-and-cons)[
Expensive (91)
](https://www.g2.com/products/snowflake/reviews?qs=pros-and-cons)

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

By [Dataiku](https://www.g2.com/sellers/dataiku)

[

4.4/5(224)

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

What do users say?

Users consistently praise the user-friendly interface and collaboration features of Dataiku, which facilitate teamwork across technical and non-technical users. The platform's ability to streamline da

Pros and Cons

[
Features (80)
](https://www.g2.com/products/dataiku/reviews?qs=pros-and-cons)[
Learning Curve (43)
](https://www.g2.com/products/dataiku/reviews?qs=pros-and-cons)

## FAQs About Data Science and Machine Learning Platforms

Generated using AI

Last updated: April 27, 2026

### Leading machine learning services for enterprise

Based on G2 reviews, enterprise teams often favor platforms that unify data preparation, model training, deployment, governance, and monitoring in one environment.

- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) — unified ML lifecycle and deployment.
- [Databricks](https://www.g2.com/products/databricks/reviews) — lakehouse workflows with collaborative notebooks.
- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) — large-scale analytics with governance.
- [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) — governed AI development for enterprises.

### Top-rated software for data analysis in SaaS industry

Based on G2 reviews, buyers in software environments often prioritize platforms that shorten analysis cycles, support collaboration, and reduce tool switching.

- [Hex](https://www.g2.com/products/hex-tech-hex/reviews) — SQL, Python, and dashboarding together.
- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) — end-to-end ML workflows in one place.
- [Databricks](https://www.g2.com/products/databricks/reviews) — scalable analytics and ML collaboration.
- [Deepnote](https://www.g2.com/products/deepnote/reviews) — collaborative notebooks for team analysis.

### Which platform offers the best machine learning solutions

Based on G2 reviews, the strongest options depend on whether your team values unified workflows, low-code model building, notebook collaboration, or governance.

- [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews) — managed training, deployment, and monitoring.
- [Databricks](https://www.g2.com/products/databricks/reviews) — engineering, analytics, and ML together.
- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) — advanced analytics with strong controls.
- [Anaconda Platform](https://www.g2.com/products/anaconda-platform/reviews) — reproducible environments and package management.

### What are data science and machine learning platforms used for

According to verified users, data science and machine learning platforms are used to centralize the work of preparing data, building models, testing ideas, deploying models, and sharing results. Reviews repeatedly mention workflow simplification as a major benefit: teams can reduce tool switching, automate repetitive preparation tasks, and move from experimentation to production with less manual setup. Buyers also use these platforms for dashboards, forecasting, predictive modeling, model monitoring, collaboration across technical and non-technical teams, and connecting data from warehouses, cloud systems, spreadsheets, or operational tools. Common buyer concerns in the reviews include learning curve, documentation quality, cost visibility, and performance on very large workloads.

### How do teams use data science and machine learning platforms for collaboration

According to verified users, collaboration is one of the most practical reasons teams adopt these platforms. Reviews describe analysts, data scientists, and engineers working in shared notebooks, common environments, and governed workspaces so they can move from raw data to analysis, visualizations, and deployed models without passing files back and forth. Teams also mention easier sharing of dashboards, published apps, reusable workflows, and reproducible environments. In several reviews, this reduces friction between technical and non-technical stakeholders because results can be reviewed, discussed, and reused in one place. The strongest collaboration themes in the recent reviews are shared notebooks, consistent environments, versioned workflows, and easier handoffs into production.

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

By [Hex Tech](https://www.g2.com/sellers/hex-tech)

[

4.5/5(403)

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

What do users say?

Users consistently praise the ease of use and flexibility of Hex, highlighting its ability to seamlessly integrate SQL and Python for data analysis. The intuitive interface and powerful AI features en

Pros and Cons

[
Ease of Use (114)
](https://www.g2.com/products/hex-tech-hex/reviews?qs=pros-and-cons)[
Limited Features (43)
](https://www.g2.com/products/hex-tech-hex/reviews?qs=pros-and-cons)

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

By [IBM](https://www.g2.com/sellers/ibm)

[

4.4/5(164)

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

What do users say?

Users consistently praise the platform for its flexibility and powerful integration capabilities, allowing seamless management of diverse data types across hybrid environments. The built-in governance

Pros and Cons

[
Ease of Use (67)
](https://www.g2.com/products/ibm-watsonx-data/reviews?qs=pros-and-cons)[
Learning Curve (38)
](https://www.g2.com/products/ibm-watsonx-data/reviews?qs=pros-and-cons)

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

By [Deepnote](https://www.g2.com/sellers/deepnote)

[

4.5/5(384)

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

What do users say?

Users consistently praise the ease of use and real-time collaboration features of Deepnote, which facilitate seamless teamwork on data projects. The platform's intuitive interface and powerful integra

Pros and Cons

[
Ease of Use (117)
](https://www.g2.com/products/deepnote/reviews?qs=pros-and-cons)[
Slow Performance (47)
](https://www.g2.com/products/deepnote/reviews?qs=pros-and-cons)

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

By [Anaconda, Inc.](https://www.g2.com/sellers/anaconda-inc)

[

4.5/5(241)

](https://www.g2.com/products/anaconda-core/reviews)

What do users say?

Users consistently praise the Anaconda AI Platform for its ease of use and comprehensive package management, which simplifies the setup and management of Python environments. Many appreciate its abili

Pros and Cons

[
Ease of Use (74)
](https://www.g2.com/products/anaconda-core/reviews?qs=pros-and-cons)[
Data Management Issues (11)
](https://www.g2.com/products/anaconda-core/reviews?qs=pros-and-cons)

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

By [Posit](https://www.g2.com/sellers/posit)

[

4.5/5(574)

](https://www.g2.com/products/posit-team/reviews)

What do users say?

Users consistently praise the ease of use and user-friendly interface of the software, highlighting how it simplifies data analysis and programming tasks. Many appreciate its strong support for open-s

Pros and Cons

[
Ease of Use (13)
](https://www.g2.com/products/posit-team/reviews?qs=pros-and-cons)[
Slow Performance (7)
](https://www.g2.com/products/posit-team/reviews?qs=pros-and-cons)

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

By [IBM](https://www.g2.com/sellers/ibm)

[

4.4/5(145)

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

What do users say?

Users consistently praise the user-friendly interface and the platform's ability to integrate multiple AI models seamlessly, making it suitable for both beginners and experienced developers. The focus

Pros and Cons

[
Ease of Use (67)
](https://www.g2.com/products/ibm-watsonx-ai/reviews?qs=pros-and-cons)[
Difficult Learning (20)
](https://www.g2.com/products/ibm-watsonx-ai/reviews?qs=pros-and-cons)

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

By [Alteryx](https://www.g2.com/sellers/alteryx)

[

4.6/5(882)

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

What do users say?

Users consistently praise the intuitive drag-and-drop interface of Alteryx, which simplifies complex data preparation and automation tasks, allowing for significant time savings. The platform's abilit

Pros and Cons

[
Ease of Use (333)
](https://www.g2.com/products/alteryx/reviews?qs=pros-and-cons)[
Expensive (88)
](https://www.g2.com/products/alteryx/reviews?qs=pros-and-cons)

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

By [Saturn Cloud](https://www.g2.com/sellers/saturn-cloud)

[

4.8/5(321)

](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews)

What do users say?

Users consistently praise the platform for its ease of use and powerful GPU resources, making it ideal for machine learning projects. The intuitive interface and quick setup allow users to focus on th

Pros and Cons

[
Ease of Use (15)
](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews?qs=pros-and-cons)[
Expensive (6)
](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews?qs=pros-and-cons)

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

By [KNIME](https://www.g2.com/sellers/knime)

[

4.5/5(103)

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

What do users say?

Users consistently praise the ease of use and visual workflow capabilities of KNIME, which allow both technical and non-technical users to create complex data analyses without extensive coding knowled

Pros and Cons

[
Ease of Use (7)
](https://www.g2.com/products/knime-analytics-platform/reviews?qs=pros-and-cons)[
Learning Difficulty (3)
](https://www.g2.com/products/knime-analytics-platform/reviews?qs=pros-and-cons)

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

By [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7)

[

4.6/5(520)

](https://www.g2.com/products/rapidminer-studio/reviews)

What do users say?

Users consistently praise the user-friendly interface and drag-and-drop functionality of Altair AI Studio, which simplifies complex data science tasks and enhances productivity. Many appreciate its co

Pros and Cons

[
Ease of Use (9)
](https://www.g2.com/products/rapidminer-studio/reviews?qs=pros-and-cons)[
Complexity (4)
](https://www.g2.com/products/rapidminer-studio/reviews?qs=pros-and-cons)

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

By [IBM](https://www.g2.com/sellers/ibm)

[

4.5/5(41)

](https://www.g2.com/products/ibm-decision-optimization/reviews)

What do users say?

Users consistently praise the software for its ease of use and powerful optimization capabilities, which allow for efficient problem-solving across various complex scenarios. Many appreciate the flexi

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