# Best Data Science and Machine Learning Platforms for Small Business

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

**Total Products under this Category:** 1,043

### 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
- 14,200+ Authentic Reviews
- 1,043+ 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=21469&focus%5B%5D=10470&focus%5B%5D=1327283&focus%5B%5D=142374&focus%5B%5D=112748&focus%5B%5D=52115&focus%5B%5D=1308796&focus%5B%5D=1308795)

Highlighted products: Gemini Enterprise Agent Platform, Databricks, SAS Viya, Deepnote, Anaconda Core, Amazon SageMaker, IBM watsonx.data, and IBM watsonx.ai.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=deepnote&focus%5B%5D=anaconda-core&focus%5B%5D=amazon-sagemaker&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=ibm-watsonx-ai&segment=small-business)

**Sponsored**

### ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

[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=2026-08-05T23%3A58%3A52Z&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=1416491&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%2Fsmall-business%3Fopen_modal_url%3D%252Fproducts%252Fibm-watsonx-ai%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdata-science-and-machine-learning-platforms%25252Fsmall-business%2526source%253Dcategory&secure%5Btoken%5D=862b8614b33bc164bb3fe770b92df097693313a5bab5d49451397529b23048c1&secure%5Burl%5D=https%3A%2F%2Filum.cloud%2F%3Futm%3Dg2&secure%5Burl_type%5D=custom_url)

### [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

**Average Rating:** 4.3/5.0

**Total Reviews:** 719

#### How Do G2 Users Rate Gemini Enterprise Agent Platform?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.5/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Gemini Enterprise Agent Platform?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Scientist
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Small, 29% Large

#### What Do G2 Reviewers Say About Gemini Enterprise Agent Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Gemini Enterprise Agent Platform, enhancing productivity and streamlining workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity and streamlining machine learning workflows effectively.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity through reduced manual work in projects.
- Users value the **multimodal capabilities** of Gemini, enhancing productivity by streamlining various tasks and processes.
- Users value the **integrated platform** of Gemini, enhancing productivity by combining various functionalities in a unified system.

##### Cons

- Users find the **pricing ambiguous** with unexpected costs, making budget management a challenge on the Gemini platform.
- Users find the platform's **complexity** ,particularly in navigation and advanced features, challenging, especially for beginners.
- The **learning curve is steep** for new users, especially with complex features and pricing transparency issues.
- Users find the **complexity issues** of the Gemini Enterprise Agent Platform lead to high costs and a steep learning curve.
- Users find the **difficult learning** curve of Gemini Enterprise Agent Platform challenging, especially for newcomers to Google Cloud.

#### What Are Recent G2 Reviews of Gemini Enterprise Agent Platform?

**["Easy AI Agent Creation"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)**

**Rating:** 4.5/5.0 stars

_— Belhaje A._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13193916)

**["Helped us automate routine work and save hours every week"](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825)**

**Rating:** 4.5/5.0 stars

_— Pavan Simhadri D._

[Read full review](https://www.g2.com/survey_responses/gemini-enterprise-agent-platform-review-13212825)

#### What Are G2 Users Discussing About Gemini Enterprise Agent Platform?

- [What is Google Cloud AI Platform used for?](https://www.g2.com/discussions/what-is-google-cloud-ai-platform-used-for) - 4 comments, 5 upvotes
- [What software libraries does cloud ML engine support?](https://www.g2.com/discussions/what-software-libraries-does-cloud-ml-engine-support) - 4 comments, 5 upvotes
- [How do I use Google cloud platform for machine learning?](https://www.g2.com/discussions/how-do-i-use-google-cloud-platform-for-machine-learning)
- [Is Google Cloud AI free?](https://www.g2.com/discussions/is-google-cloud-ai-free)
- [What is Google AI platform?](https://www.g2.com/discussions/what-is-google-ai-platform) - 3 comments, 3 upvotes

### [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:** 1,330

#### 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 praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

#### 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:** 774

#### 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% Large, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making.
- Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities.
- Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making.
- Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels.

##### Cons

- Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively.
- Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively.
- Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners.
- Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users.
- Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption.

#### 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

### [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 praise the **ease of use** of Deepnote, facilitating collaboration and simplifying data analysis tasks.
- Users appreciate the **seamless collaboration** capabilities of Deepnote, enhancing teamwork and project efficiency significantly.
- Users value the **real-time collaboration** in Deepnote, enhancing teamwork and efficiency in data analysis processes.
- Users appreciate the **easy integrations** in Deepnote, enabling seamless workflow and efficient data management.
- Users appreciate the **easy data management** in Deepnote, enabling seamless integration and collaborative analytics.

##### Cons

- Users notice **slow performance** with large datasets, affecting the application's responsiveness and analysis agility.
- Users find the **limited features** of Deepnote hinder its usability and comparability with other tools.
- Users report issues with **data management** , including slowness, kernel crashes, and unintuitive file navigation.
- Users experience **lagging performance** with Deepnote, particularly when handling large datasets or multiple requests.
- Users often experience **slow loading** times in Deepnote, especially with larger projects, impacting their efficiency and workflow.

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

**["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)

**["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)

#### 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 Platform is a unified enterprise AI development platform that helps data scientists, AI developers, and platform engineers build, secure, deploy, and observe AI workloads from development to production. The platform addresses critical challenges enterprises face when scaling open-source AI initiatives, including environment complexity, security vulnerabilities, deployment failures, and governance requirements across cloud and on-premises infrastructure. The platform combines trusted Python package distribution with enterprise-grade governance controls, enabling organizations to accelerate AI innovation while maintaining security and compliance. Data scientists access over 12,000 pre-vetted, compatible open-source packages through Anaconda's secure distribution, eliminating dependency conflicts and environment drift that typically slow deployment cycles. Platform administrators gain centralized management, role-based access controls, and automated vulnerability detection across all AI workloads. Key capabilities include: Trusted Distribution - Pre-validated Python packages with signature verification, software bills of materials (SBOMs), and guaranteed uptime SLAs reduce supply chain security risks Secure Governance - Automated CVE scanning, package filtering, audit logs, and compliance tracking for GDPR, HIPAA, and CCPA requirements enable teams to move fast without compromising security Developer Velocity - Pre-configured environments, one-command setup, and automatic dependency resolution eliminate debugging time so developers focus on building solutions Production-Ready AI - High-performance runtimes and proven deployment workflows ensure what works locally runs reliably at scale, bridging the gap between experimentation and production Actionable Insights - Real-time telemetry and usage metrics across packages, environments, and models provide visibility for data-driven optimization decisions Organizations using Anaconda Platform report 60% reduced risk of security breaches, 80% efficiency improvement in package security management, and significant time savings by eliminating manual package vetting processes.

**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:** 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 appreciate the **ease of use** of Anaconda Core, facilitating efficient management of packages and dependencies.
- Users praise the **easy installation process** of Anaconda Core, facilitating efficient setup for data science projects.
- Users value the **efficiency** of Anaconda Core, which streamlines setup and enhances productivity in development workflows.
- Users appreciate the **intuitive interface** of Anaconda Core, making data science project management easy and efficient.
- Users value the **coding ease** of Anaconda Core, enjoying seamless package management and streamlined environments for data science.

##### Cons

- Users face **data management issues** with Anaconda Core, including conflicts, integration challenges, and lack of automatic backups.
- Users experience **slow performance** with Anaconda Core, especially during package installations and on older hardware.
- Users find Anaconda Core's **limited features** frustrating, especially regarding insights and accessibility of new tools.
- Users find the **limited features** of Anaconda Core restrictive, especially lacking real-time code viewing and version control.
- Users frequently mention **limited storage** issues due to Anaconda Core's heavy installation size, complicating usage for many.

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

**["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)

**["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)

#### 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)

### [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

**Average Rating:** 4.3/5.0

**Total Reviews:** 54

#### How Do G2 Users Rate Amazon SageMaker?

- **Application:** 8.6/10 (Category avg: 8.5/10)
- **Managed Service:** 9.1/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Amazon SageMaker?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 33% Medium, 33% Large

#### What Do G2 Reviewers Say About Amazon SageMaker?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Amazon SageMaker's **ease of use** exceptional, enabling quick adaptation and efficient model training with user-friendly features.
- Users appreciate the **seamless AI integration** of Amazon SageMaker, enhancing the efficiency of the machine learning lifecycle.
- Users appreciate the **superior computing power** of Amazon SageMaker, significantly reducing model training time and enhancing efficiency.
- Users value the **exceptional efficiency** of Amazon SageMaker, significantly reducing model training time and streamlining workflows.
- Users commend the **fast processing** capabilities of Amazon SageMaker, significantly reducing model training time and enhancing usability.

##### Cons

- Users find Amazon SageMaker **expensive** , with complex pricing that leads to unexpected costs for training and deployments.
- Users find the **pricing structure complex** and often face high costs with long training jobs and deployments.
- Users find that the **complexity of pricing** in Amazon SageMaker can lead to unexpected costs and confusion.
- Users note a **steep learning curve** with Amazon SageMaker, particularly for those new to AWS services and setups.
- Users experience a **difficult learning curve** during the initial setup of Amazon SageMaker, which can hinder productivity.

#### What Are Recent G2 Reviews of Amazon SageMaker?

**["End-to-End ML Platform That Streamlines the Full Lifecycle"](https://www.g2.com/survey_responses/amazon-sagemaker-review-13180609)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-sagemaker-review-13180609)

**["Fully Managed End-to-End ML in AWS with Powerful Distributed Training"](https://www.g2.com/survey_responses/amazon-sagemaker-review-12853074)**

**Rating:** 4.0/5.0 stars

_— Hem J._

[Read full review](https://www.g2.com/survey_responses/amazon-sagemaker-review-12853074)

#### What Are G2 Users Discussing About Amazon SageMaker?

- [What is Amazon SageMaker used for?](https://www.g2.com/discussions/what-is-amazon-sagemaker-used-for)
- [Is AWS SageMaker good?](https://www.g2.com/discussions/is-aws-sagemaker-good) - 1 upvote
- [Who uses SageMaker?](https://www.g2.com/discussions/who-uses-sagemaker)
- [How do you use Amazon SageMaker?](https://www.g2.com/discussions/how-do-you-use-amazon-sagemaker)
- [What does Amazon SageMaker do?](https://www.g2.com/discussions/what-does-amazon-sagemaker-do)

### [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:** 167

#### 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:** 7.9/10 (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 tasks.
- Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics.
- Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly.
- Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects.
- Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making.

##### Cons

- Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data.
- Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies.
- Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects.
- Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations.
- Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics.

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

**["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)

**["Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)**

**Rating:** 4.0/5.0 stars

_— Arkajit D._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)

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

Watsonx.ai fait partie de la plateforme IBM watsonx qui réunit de nouvelles capacités d'IA générative, alimentées par des modèles de base et l'apprentissage automatique traditionnel dans un studio puissant couvrant le cycle de vie de l'IA. Avec watsonx.ai, vous pouvez construire, entraîner, valider, ajuster et déployer des capacités d'IA générative, des modèles de base et d'apprentissage automatique avec facilité et créer des applications d'IA en une fraction du temps avec une fraction des données.

**Average Rating:** 4.4/5.0

**Total Reviews:** 139

#### How Do G2 Users Rate IBM watsonx.ai?

- **Application:** 8.8/10 (Category avg: 8.5/10)
- **Service géré:** 8.5/10 (Category avg: 8.3/10)
- **Compréhension du langage naturel:** 8.6/10 (Category avg: 8.2/10)
- **Facilité d’administration:** 8.5/10 (Category avg: 8.5/10)

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

- **Vendeur:** [IBM](https://www.g2.com/fr/sellers/ibm)
- **Site Web de l'entreprise:** www.ibm.com
- **Année de fondation:** 1911
- **Emplacement du siège social:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/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 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Consultant
- **Top Industries:** Technologie de l'information et services, Logiciels informatiques
- **Company Size:** 41% Small, 32% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs apprécient la **facilité d'utilisation** d'IBM watsonx.ai, facilitant une intégration plus rapide de l'IA et une gestion efficace.
- Les utilisateurs apprécient la **variété de modèles** d'IBM watsonx.ai, permettant un entraînement personnalisé sur des modèles existants pour une performance améliorée.
- Les utilisateurs apprécient **l'intégration transparente de l'IA de niveau entreprise** dans IBM watsonx.ai, améliorant la prise de décision et l'efficacité des flux de travail.
- Les utilisateurs apprécient le **studio intégré de qualité entreprise** d'IBM watsonx.ai pour une formation en IA sans faille et des informations fiables.
- Les utilisateurs apprécient l' **intégration IA de niveau entreprise** d'IBM watsonx.ai, améliorant la prise de décision et les opérations commerciales de manière efficace.

##### Cons

- Les utilisateurs trouvent la **courbe d'apprentissage difficile** d'IBM watsonx.ai intimidante, ce qui la rend moins accessible pour les nouveaux venus et les petites équipes.
- Les utilisateurs trouvent la **configuration complexe** d'IBM watsonx.ai difficile, ce qui la rend moins adaptée aux petites équipes et aux débutants.
- Les utilisateurs trouvent la **courbe d'apprentissage abrupte** d'IBM watsonx.ai difficile, ce qui le rend moins accessible pour les équipes non techniques.
- Les utilisateurs trouvent le produit **cher** et difficile pour les petites équipes, citant des coûts élevés et des exigences de configuration complexes.
- Les utilisateurs trouvent la **configuration complexe** d'IBM watsonx.ai difficile, surtout pour les débutants et les petites équipes.

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

**["Studio d'IA unifié et gouverné avec des performances solides et des intégrations IBM transparentes"](https://www.g2.com/fr/survey_responses/ibm-watsonx-ai-review-13184421)**

**Rating:** 4.0/5.0 stars

_— Manan S._

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

**["Plateforme complète tout-en-un pour construire et tester des flux de travail d'IA"](https://www.g2.com/fr/survey_responses/ibm-watsonx-ai-review-13196706)**

**Rating:** 4.0/5.0 stars

_— Manish D._

[Read full review](https://www.g2.com/fr/survey_responses/ibm-watsonx-ai-review-13196706)

### [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 appreciate the **ease of use** of Saturn Cloud, making setup and functionality straightforward and enjoyable.
- Users value the **powerful GPU performance** of Saturn Cloud, enhancing speed and efficiency in data science projects.
- Users praise the **powerful GPU computing resources** of Saturn Cloud, enhancing their project efficiency and ease of use.
- Users appreciate the **setup ease** of Saturn Cloud, enabling quick and convenient access to GPU resources.
- Users commend the **easy integrations** in Saturn Cloud, enhancing convenience for machine learning and big data projects.

##### Cons

- Users find Saturn Cloud's pricing **expensive** , suggesting more affordable plans and options for students or new grads.
- Users experience **complexity issues** with pricing and documentation, which can hinder their initial setup and usage.
- Users find the **poor documentation** frustrating, especially for advanced setups and beginners needing guidance.
- Users find the **difficult setup** of Saturn Cloud to be a significant hurdle before enjoying its benefits.
- Users feel the **insufficient learning resources** hinder their experience, especially for beginners struggling with advanced setups.

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

**["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)

**["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)

### [TensorFlow](https://www.g2.com/products/tensorflow/reviews)

TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platforms. It provides a comprehensive ecosystem that supports tasks ranging from simple data flow graphs to complex neural networks, enabling developers and researchers to build and deploy machine learning applications efficiently. Key Features and Functionality: - Flexible Architecture: TensorFlow's architecture allows for deployment across multiple platforms, including CPUs, GPUs, and TPUs, and supports various operating systems such as Linux, macOS, Windows, Android, and JavaScript. - Multiple Language Support: While primarily offering a Python API, TensorFlow also provides support for other languages, including C++, Java, and JavaScript, catering to a diverse developer community. - High-Level APIs: TensorFlow includes high-level APIs like Keras, which simplify the process of building and training models, making machine learning more accessible to beginners and efficient for experts. - Eager Execution: This feature allows for immediate evaluation of operations, facilitating intuitive debugging and dynamic graph building. - Distributed Computing: TensorFlow supports distributed training, enabling the scaling of machine learning models across multiple devices and servers without significant code modifications. Primary Value and Solutions Provided: TensorFlow addresses the challenges of developing and deploying machine learning models by offering a unified, scalable, and flexible platform. It streamlines the workflow from model conception to deployment, reducing the complexity associated with machine learning projects. By supporting a wide range of platforms and languages, TensorFlow empowers users to implement machine learning solutions in diverse environments, from research labs to production systems. Its comprehensive suite of tools and libraries accelerates the development process, fosters innovation, and enables the creation of sophisticated models that can tackle real-world problems effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 135

#### How Do G2 Users Rate TensorFlow?

- **Application:** 8.7/10 (Category avg: 8.5/10)
- **Managed Service:** 8.5/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind TensorFlow?

- **Seller:** [TensorFlow](https://www.g2.com/sellers/tensorflow)
- **Year Founded:** 2016
- **HQ Location:** Centre Urbain Nord, TN
- **Twitter:** @TensorFlow  
377,398 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d8bd70a319f380d7eba5465c55d6db7bb5924df26029376484f20084376ef57&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftensorflow-tunis%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 50% Small, 26% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **flexibility and scalability** of TensorFlow for building and deploying machine learning models effectively.
- Users value TensorFlow for its **powerful AI integration** , enabling efficient model training and deployment across various platforms.
- Users find TensorFlow's **ease of use** enhanced by Keras and strong community support for model building.
- Users commend the **model variety** in TensorFlow, facilitating rapid prototyping and flexible deep learning development.
- Users value the **excellent customer support** and community of TensorFlow, enhancing their machine learning project experience.

##### Cons

- Users find TensorFlow's **steep learning curve** difficult, particularly for beginners, making understanding and debugging challenging.
- Users find TensorFlow's **complexity** challenging, especially for beginners and when dealing with GPU optimization issues.
- Users find **learning TensorFlow difficult** , facing challenges with complex concepts and frustrating error messages while debugging.
- Users experience **slow performance** with TensorFlow, especially when experimenting or handling smaller projects, affecting usability.
- Users struggle with **error handling** , finding error messages unclear and debugging TensorFlow challenging, especially for beginners.

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

**["My go to place to machine learning stuff"](https://www.g2.com/survey_responses/tensorflow-review-11197207)**

**Rating:** 4.5/5.0 stars

_— Leonardo S._

[Read full review](https://www.g2.com/survey_responses/tensorflow-review-11197207)

**["Scalable, Flexible, and Powerful: TensorFlow Boosts Deep Learning Productivity"](https://www.g2.com/survey_responses/tensorflow-review-12523010)**

**Rating:** 5.0/5.0 stars

_— Anbuselvam S._

[Read full review](https://www.g2.com/survey_responses/tensorflow-review-12523010)

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

- [What are the core concepts of TensorFlow?](https://www.g2.com/discussions/what-are-the-core-concepts-of-tensorflow)
- [What is TensorFlow and why it is used?](https://www.g2.com/discussions/what-is-tensorflow-and-why-it-is-used) - 2 comments
- [What are advantages of TensorFlow?](https://www.g2.com/discussions/what-are-advantages-of-tensorflow)
- [What is TensorFlow software used for?](https://www.g2.com/discussions/what-is-tensorflow-software-used-for)

### [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:** 402

#### 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)  
249 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 **extremely user-friendly** , enjoying seamless integration and fast implementation for data projects.
- Users appreciate the **seamless integration of SQL and Python** , enhancing their data analysis and visualization experience in Hex.
- Users praise Hex for its **user-friendly data management** , enabling easy integration and collaboration across multiple databases.
- Users appreciate the **seamless SQL querying** in Hex, enhancing data analysis with effortless integration and intuitive tools.
- Users enjoy the **seamless data analysis and interactive capabilities** of Hex, enhancing collaboration and efficiency.

##### Cons

- Users highlight **limited features** in Hex, noting constraints in dashboard capabilities and lack of helpful AI tools.
- Users find **missing features** in Hex, such as inadequate data visualization and lack of saved result tabs.
- Users note that Hex is **lacking essential features** for dashboarding and computational efficiency compared to competitors.
- Users experience **slow performance** with Hex, especially in virtual machines and during routine tasks.
- Users face **data management issues** with Hex, including failures in scheduled runs and challenging notebook debugging.

#### 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)

### [MATLAB](https://www.g2.com/products/matlab/reviews)

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.

**Average Rating:** 4.5/5.0

**Total Reviews:** 750

#### How Do G2 Users Rate MATLAB?

- **Application:** 8.6/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.5/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MATLAB?

- **Seller:** [MathWorks](https://www.g2.com/sellers/mathworks)
- **Year Founded:** 1984
- **HQ Location:** Natick, MA
- **Twitter:** @MATLAB  
105,142 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6dbb518e9679f4f3158244b1c49a1caf60257ab06a669303d999c534715b2674&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1194036%2F&secure%5Burl_type%5D=linkedin_company_website)  
7,985 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Graduate Research Assistant
- **Top Industries:** Higher Education, Research
- **Company Size:** 42% Large, 31% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find MATLAB's **ease of use** remarkable, enabling intuitive data analysis, visualization, and application development seamlessly.
- Users admire MATLAB for its **powerful data analysis and visualization tools** , enabling impactful and professional presentation of results.
- Users highlight MATLAB's **excellent visualization tools** , allowing for clear and professional presentations of complex data.
- Users value the **rich variety of toolboxes** in MATLAB, enhancing efficiency and confidence in their engineering tasks.
- Users appreciate MATLAB for its **powerful simulation capabilities** and seamless transition from ideas to practical solutions.

##### Cons

- Users find MATLAB to be **expensive** , particularly due to high licensing costs and additional toolboxes for functionality.
- Users experience **slow performance** with MATLAB, particularly on less powerful machines, impacting their productivity during complex tasks.
- Users note the **high system requirements** of MATLAB, leading to slower performance on less powerful machines.
- Users struggle with **expensive licensing** costs for MATLAB, posing a barrier for individuals and small companies.
- Users experience **lagging performance** during high resource usage, affecting efficiency and requiring improvements for better usability.

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

**["Powerful Math and Visualization Tools That Boost Productivity"](https://www.g2.com/survey_responses/matlab-review-12811316)**

**Rating:** 5.0/5.0 stars

_— Dipendu M._

[Read full review](https://www.g2.com/survey_responses/matlab-review-12811316)

**["A Robust Powerhouse for Advanced Engineering Simulations and Modeling"](https://www.g2.com/survey_responses/matlab-review-12689149)**

**Rating:** 4.0/5.0 stars

_— Wafa M._

[Read full review](https://www.g2.com/survey_responses/matlab-review-12689149)

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

- [What is MATLAB used for?](https://www.g2.com/discussions/what-is-matlab-used-for) - 1 comment
- [Can I use Matlab for free?](https://www.g2.com/discussions/can-i-use-matlab-for-free) - 3 comments
- [What is Matlab written in?](https://www.g2.com/discussions/what-is-matlab-written-in) - 1 comment
- [Is Matlab a programming language or software?](https://www.g2.com/discussions/is-matlab-a-programming-language-or-software) - 1 comment
- [What is Matlab software used for?](https://www.g2.com/discussions/what-is-matlab-software-used-for) - 1 comment

### [Deep Learning VM Image](https://www.g2.com/products/deep-learning-vm-image/reviews)

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine learning needs. - Operating System Options: Based on Debian 11 and Ubuntu 22.04, providing flexibility and compatibility with different environments. - Comprehensive Python Environment: Includes Python 3.10 with a suite of libraries such as NumPy, SciPy, Matplotlib, Pandas, NLTK, Pillow, scikit-image, OpenCV, and scikit-learn, facilitating a robust development experience. - JupyterLab Integration: Offers JupyterLab notebook environments for rapid prototyping and interactive development. - GPU Acceleration: Equipped with the latest NVIDIA drivers and packages, including CUDA 11.x and 12.x, CuDNN, and NCCL, to leverage GPU capabilities for accelerated computation. Primary Value and User Solutions: Deep Learning VM Images streamline the setup process for machine learning projects by providing ready-to-use environments with pre-installed frameworks and tools. This reduces the time and effort required for configuration, allowing data scientists and machine learning practitioners to focus on model development and experimentation. The integration with Google Cloud's scalable infrastructure ensures that users can efficiently manage and scale their machine learning workloads, whether they require CPU or GPU resources. Regular updates and community support further enhance the reliability and performance of these VM images, making them a valuable resource for accelerating machine learning initiatives.

**Average Rating:** 4.4/5.0

**Total Reviews:** 52

#### How Do G2 Users Rate Deep Learning VM Image?

- **Application:** 8.8/10 (Category avg: 8.5/10)
- **Managed Service:** 8.4/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.5/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deep Learning VM Image?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Small, 33% Medium

#### What Do G2 Reviewers Say About Deep Learning VM Image?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **pre-installed ML frameworks and tools** of Deep Learning VM Image, enhancing efficiency in projects.
- Users love the **ease of use** of Deep Learning VM Image, enabling quick deployment and seamless integration.
- Users value the **easy integrations with cloud services** , which streamline deployment and enhance productivity seamlessly.
- Users benefit from the **fast processing** capabilities of Deep Learning VM Image, enhancing efficiency in deep learning projects.
- Users benefit from the **exceptional speed** of Deep Learning VM Image, significantly accelerating data processing and workflow efficiency.

##### Cons

- Users find the **costs can escalate** with frequent usage, leading to concerns about affordability over time.
- Users express concerns about **high costs** associated with usage, which can escalate for larger-scale operations.
- Users face **high computational costs** and latency issues with Deep Learning VM Image, impacting overall performance and expenses.
- Users find the **steep learning curve** challenging, making it difficult for beginners to navigate the Deep Learning VM Image.
- Users report a **steep learning curve** that can overwhelm new users and hinder effective use of Deep Learning VM Image.

#### What Are Recent G2 Reviews of Deep Learning VM Image?

**["Preconfigured GPU AI Environment That Speeds Up Deep Learning on Google Cloud"](https://www.g2.com/survey_responses/deep-learning-vm-image-review-13155676)**

**Rating:** 4.5/5.0 stars

_— LOKESH G._

[Read full review](https://www.g2.com/survey_responses/deep-learning-vm-image-review-13155676)

**["Ready to Use Deep Learning Environment That Saves Time"](https://www.g2.com/survey_responses/deep-learning-vm-image-review-13206817)**

**Rating:** 4.5/5.0 stars

_— Sattwik M._

[Read full review](https://www.g2.com/survey_responses/deep-learning-vm-image-review-13206817)

### [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:** 567

#### 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:** 48% Large, 26% Medium

#### What Do G2 Reviewers Say About Posit Team?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Posit to be **highly user-friendly** , enabling efficient analysis and simplifying integration with existing tools.
- Users appreciate Posit's **leadership in innovation** and seamless integration, enhancing their productivity and workflow efficiency.
- Users value Posit's **commitment to open source software** , enhancing accessibility and integration for R programming.
- Users value the **responsive customer support** of Posit Team, enhancing their experience with excellent guidance and assistance.
- Users appreciate the **easy integrations** of Posit Team, allowing seamless workflow and reducing setup complications.

##### Cons

- Users experience **slow performance** when handling large datasets, disrupting workflow and requiring significant system resources.
- Users experience a **steep learning curve** with Posit Team, making initial setup and advanced features challenging.
- Users experience **performance issues** with Posit, particularly when handling larger datasets and during high usage.
- Users face a **steep learning curve** with Posit Team, making initial setup and advanced features challenging for newcomers.
- Users experience **lagging performance** with Posit, particularly 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:** 857

#### 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** of Alteryx, finding it user-friendly and efficient for non-technical users.
- Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis.
- Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient.
- Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience.
- Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding.

##### Cons

- Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups.
- Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly.
- Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility.
- Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners.
- Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx.

#### 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)

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