# Best Data Science and Machine Learning Platforms - Page 6

## 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
- 14,300+ 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=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=67045&focus%5B%5D=10938&focus%5B%5D=1308796&focus%5B%5D=24457&focus%5B%5D=162504)

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

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

**Sponsored**

### KNIME

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

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=692&secure%5Bchosen_at%5D=2026-08-13T02%3A42%3A57Z&secure%5Bdisplayable_resource_id%5D=692&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=692&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%3FhsCtaTracking%3De3fe859b-0d36-4cf8-85cf-2151a5747412%257Cf061fa73-bd90-460e-a7f8-942511082d38%26page%3D6&secure%5Btoken%5D=2b767d5df8f9f47bf78699277a20d70f49708b9c83dc7552d53d570fe8e310c7&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Braze AI Decisioning Studio™](https://www.g2.com/products/braze-ai-decisioning-studio/reviews)

Put AI decisioning behind every marketing move. With the BrazeAI Decisioning Studio™, marketers can leverage their rich first-party data to determine the best channel, message, offer, timing, frequency, and more for each individual customer. BrazeAI™ decisioning agents use reinforcement learning — a powerful form of machine learning — to autonomously experiment and continuously adapt based on customer behavior. They personalize every aspect of communication by leveraging available data, including custom and industry-specific datasets. These agents learn from consumer actions, treating positive actions, such as conversions, purchases, and engagement as rewards. Over time, they identify patterns most likely to maximize rewards, optimizing the KPIs that matter most—like profit and lifetime value—through ongoing, autonomous experimentation. \*Use all your data.\* Personalize with rich first-party data, making decisions based on hundreds of characteristics. \*Personalize everything.\* Find the best channel, product, financial offer, creative, timing & frequency for each individual customer. \*Optimize any metric.\* Drive dollars, not clicks — AI decisioning optimizes any business KPI. \*Decisions, explained.\* Trace AI decisions for every customer, and the reasons behind them. BrazeAI Decisioning Studio™ helps top brands around the world personalize at scale, including Brinks Home, Chime, Foxtel Group, MetLife, and Wyndham Hotels.

**Average Rating:** 4.7/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Braze AI Decisioning Studio™?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Braze AI Decisioning Studio™?

- **Seller:** [Braze](https://www.g2.com/sellers/braze)
- **Company Website:** www.braze.com
- **Year Founded:** 2011
- **HQ Location:** New York
- **Twitter:** @Braze  
16,323 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5637ca0a6d3df02c8ef323e24bdd7e17a8bbb7dc9ec02cdf7be16ac67b91549e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F792882%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,297 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Large, 33% Medium

#### What Do G2 Reviewers Say About Braze AI Decisioning Studio™?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend OfferFit for their **exceptional customer support** , effectively solving problems and providing valuable resources for growth.
- Users value the **high engagement and insights** from Braze AI Decisioning Studio™, enhancing customer understanding and profitability.
- Users commend the **collaborative support** from the OfferFit team, enhancing problem-solving and driving tangible business value.
- Users commend the **ease of use** of Braze AI Decisioning Studio™, facilitating smooth integration and effective operations.
- Users appreciate the **outstanding support and collaboration** from the OfferFit team, driving valuable insights and business solutions.

##### Cons

- Users find the **learning curve steep** , making it challenging to effectively apply changes and understand the AI's potential.
- Users find the **difficult learning curve** of Braze AI Decisioning Studio™ challenging for effective operation and management.
- Users find the **implementation difficulty** challenging, leading to slow project launches and maintenance issues.
- Users find the **time-consuming implementation process** of Braze AI Decisioning Studio™ slows down their project timelines.
- Users find it **operationally hard to launch and maintain** campaigns within Braze AI Decisioning Studio™, affecting usability.

#### What Are Recent G2 Reviews of Braze AI Decisioning Studio™?

**["Streamlining Work with Confidence—Helpful Breakdowns for Learning"](https://www.g2.com/survey_responses/braze-ai-decisioning-studio-review-12676532)**

**Rating:** 5.0/5.0 stars

_— Shannen W._

[Read full review](https://www.g2.com/survey_responses/braze-ai-decisioning-studio-review-12676532)

**["Tailored Support and Insights Above & Beyond Expectations Everytime"](https://www.g2.com/survey_responses/braze-ai-decisioning-studio-review-10397225)**

**Rating:** 5.0/5.0 stars

_— Elaine C._

[Read full review](https://www.g2.com/survey_responses/braze-ai-decisioning-studio-review-10397225)

### [Datagran](https://www.g2.com/products/datagran/reviews)

Analyze data, build data models, and automate workflows with the power of AI, all without spending a second on setup.

**Average Rating:** 4.6/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Datagran?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.7/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Datagran?

- **Seller:** [Datagran](https://www.g2.com/sellers/datagran-694737c8-6f6b-4683-a1e6-2056a8ea2be5)
- **Year Founded:** 2017
- **HQ Location:** San Francisco, US
- **Twitter:** @DataGran  
2,944 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=944f69cf5a1c7993af9b58ca40c64499f98e7f91f210e4a766525a68cf05472f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatagran%2F&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Small, 25% Medium

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

**["DataGram the cloud Analyser"](https://www.g2.com/survey_responses/datagran-review-7917921)**

**Rating:** 4.5/5.0 stars

_— Verified User in Food & Beverages_

[Read full review](https://www.g2.com/survey_responses/datagran-review-7917921)

**["Workflow automation"](https://www.g2.com/survey_responses/datagran-review-7921234)**

**Rating:** 4.0/5.0 stars

_— Nishan A._

[Read full review](https://www.g2.com/survey_responses/datagran-review-7921234)

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

- [What is Datagran used for?](https://www.g2.com/discussions/what-is-datagran-used-for)

### [Edge Impulse](https://www.g2.com/products/edge-impulse/reviews)

Edge Impulse is an end-to-end platform for edge AI application development. We enable developers to use their own sensor, audio and vision data to train AI models for classification, regression and anomaly detection. Our platform is hardware-aware and developers can build models that scale from MCUs to NPUs. We support MLOps from start to finish - from initial data collection to monitoring the model in the field.

**Average Rating:** 4.5/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Edge Impulse?

- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Edge Impulse?

- **Seller:** [Qualcomm](https://www.g2.com/sellers/qualcomm)
- **Year Founded:** 1985
- **HQ Location:** San Diego, CA
- **Twitter:** @Qualcomm  
441,209 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c011c5355b10e30f99e8c597addd4e1f5e9def722397be57a2defdd1a5140c47&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqualcomm%2F&secure%5Burl_type%5D=linkedin_company_website)  
56,625 employees on LinkedIn®
- **Ownership:** NASDAQ:QCOM

#### Who Uses This Product?

- **Company Size:** 64% Small, 36% Large

#### What Do G2 Reviewers Say About Edge Impulse?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **extensive data augmentation and deployment options** offered by Edge Impulse for enhanced model performance.
- Users appreciate the **ease of use** of Edge Impulse, finding its interface intuitive for importing and scaling data.
- Users value the **data augmentation and preprocessing tools** that enhance training data quality and improve model performance.
- Users value the **flexibility** of Edge Impulse for deploying models across diverse edge devices and formats.
- Users find Edge Impulse's **user-friendly interface** makes machine learning accessible for various edge devices effortlessly.

##### Cons

- Users feel that the **lack of offline documentation** can hinder their usage of Edge Impulse in low-connectivity areas.
- Users feel that the **lack of tools** limits support for custom embedded devices, hindering broader experimentation.
- Users find the **limited customization** of Edge Impulse restrictive for building complex or specialized machine learning models.
- Users feel that **missing features** for custom embedded devices limit the product's appeal and usability for developers.
- Users find the **model limitations** of Edge Impulse restrictive for complex, specialized applications, craving more customization options.

#### What Are Recent G2 Reviews of Edge Impulse?

**["Using Edge as a fairly new user"](https://www.g2.com/survey_responses/edge-impulse-review-8506732)**

**Rating:** 5.0/5.0 stars

_— Georgian C._

[Read full review](https://www.g2.com/survey_responses/edge-impulse-review-8506732)

**["Empowering Edge AI Innovation: A Comprehensive Edge Impulse Review"](https://www.g2.com/survey_responses/edge-impulse-review-8506779)**

**Rating:** 5.0/5.0 stars

_— Alex G._

[Read full review](https://www.g2.com/survey_responses/edge-impulse-review-8506779)

### [H2O Driverless AI](https://www.g2.com/products/h2o-driverless-ai/reviews)

H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment.

**Average Rating:** 4.3/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate H2O Driverless AI?

- **Application:** 6.7/10 (Category avg: 8.5/10)
- **Managed Service:** 6.7/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)

#### Who Is the Company Behind H2O Driverless AI?

- **Seller:** [H2O.ai](https://www.g2.com/sellers/h2o-ai)
- **Year Founded:** 2012
- **HQ Location:** Mountain View, CA
- **Twitter:** @h2oai  
25,222 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d72fb266ff2f8efb8990d0c7b8b943f3c10fcf2a5cd1ebcfe2cd78771100200f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2820918%2F&secure%5Burl_type%5D=linkedin_company_website)  
345 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 25% Medium

#### What Do G2 Reviewers Say About H2O Driverless AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of H2O Driverless AI, achieving great results with minimal effort.
- Users appreciate the **easy-to-use, low-code programming** of H2O Driverless AI, enhancing their experience in Data Science.
- Users value the **easy-to-use AutoML platform** of H2O Driverless AI, making data science accessible with low-code programming.
- Users highlight the **ease of use and effective problem-solving** capabilities of H2O Driverless AI for consistent results.

##### Cons

- Users find the lack of **data preparation tools** in H2O Driverless AI limiting for end-user functionality.
- Users feel that Driverless AI lacks **data preparation tools** , limiting its effectiveness for end-users and data engineering.
- Users find the **user interface lacking** and note missing ETL functionalities in H2O Driverless AI.

#### What Are Recent G2 Reviews of H2O Driverless AI?

**["Excellent tool for fast model production"](https://www.g2.com/survey_responses/h2o-driverless-ai-review-10983629)**

**Rating:** 5.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/h2o-driverless-ai-review-10983629)

**["H2O Driverless AI Review"](https://www.g2.com/survey_responses/h2o-driverless-ai-review-4358250)**

**Rating:** 4.5/5.0 stars

_— Nguyen D._

[Read full review](https://www.g2.com/survey_responses/h2o-driverless-ai-review-4358250)

#### What Are G2 Users Discussing About H2O Driverless AI?

- [Is H2O driverless AI free?](https://www.g2.com/discussions/is-h2o-driverless-ai-free) - 1 comment
- [What is H20 driverless AI?](https://www.g2.com/discussions/what-is-h20-driverless-ai) - 1 comment
- [What is H2O AI used for?](https://www.g2.com/discussions/what-is-h2o-ai-used-for) - 1 comment

### [JADBio AutoML](https://www.g2.com/products/jadbio-automl/reviews)

JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end machine learning platform with a wealth of capabilities, ranging from smart feature selection to the reuse of predictive models. JADBio’s healthcare purpose-built platform provides leading-edge AI tools and automation capabilities, enabling life-science professionals to build and deploy accurate and explainable predictive models with speed and ease, even if they have no data science expertise. The platform supports preprocessing and imputation of missing values; it selects the features and modeling, tunes for hyper-parameters, and effectively tests thousands of algorithmic configurations to identify the best ones to produce the final ML model. The platform estimates its predictive performance and produces a wealth of visualizations and reports. Customers have the ability to select multiple selected feature subsets that lead to equally predictive models, build their own advanced custom models using JADBio’s extensive content library, or take off the shelf models and customize them as their own. All produced models can be downloaded in executable form, applied to an external validation set, or run manually by feeding-in the observed value of the selected features. JADBio’s library contains thousands of algorithms and pre-built models that can predict common healthcare issues, but also novel features like causal discovery or survival prediction and other time-to-event outcomes. The pre-built elements and AutoML capabilities of JADBio provide a low-code option for health-data scientists, bioinformaticians, and organizations without internal data science expertise to analyze their health data easily and affordably. Meanwhile, the JADBio REST API allows for advanced users to leverage JADBio’s capabilities in their own applications or to automate their workflows and processes. By providing an end-to-end platform purpose-built for life-scientists, backed by research and development in Europe’s largest research centers, we allow customers to utilize their ever-growing biomedical data and put them into production within minutes.

**Average Rating:** 5.0/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate JADBio AutoML?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 7.5/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind JADBio AutoML?

- **Seller:** [GnosisDA](https://www.g2.com/sellers/gnosisda)
- **Year Founded:** 2013
- **HQ Location:** Los Angeles, US
- **Twitter:** @WeAreJADBio  
335 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8510c4bfd31393ded3d2aab17045321a3a66e5f98e22d32bd8c8ec582ec1c464&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjadbio&secure%5Burl_type%5D=linkedin_company_website)  
10 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 60% Medium, 40% Small

#### What Are Recent G2 Reviews of JADBio AutoML?

**["Experience related to JADBio AutoML"](https://www.g2.com/survey_responses/jadbio-automl-review-8559568)**

**Rating:** 5.0/5.0 stars

_— Md Junaid H._

[Read full review](https://www.g2.com/survey_responses/jadbio-automl-review-8559568)

**["Effective and Budget Friendly"](https://www.g2.com/survey_responses/jadbio-automl-review-8542042)**

**Rating:** 5.0/5.0 stars

_— Ramesh P._

[Read full review](https://www.g2.com/survey_responses/jadbio-automl-review-8542042)

#### What Are G2 Users Discussing About JADBio AutoML?

- [What is JADBio AutoML used for?](https://www.g2.com/discussions/what-is-jadbio-automl-used-for)

### [Labelbox](https://www.g2.com/products/labelbox/reviews)

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Databricks Ventures.

**Average Rating:** 4.5/5.0

**Total Reviews:** 48

#### How Do G2 Users Rate Labelbox?

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

#### Who Is the Company Behind Labelbox?

- **Seller:** [Labelbox](https://www.g2.com/sellers/labelbox)
- **Year Founded:** 2018
- **HQ Location:** San Francisco, California
- **Twitter:** @labelbox  
3,489 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=46b35e20f0b8a1bbee233e1f6d5a6d1a72e4e49ac4f1901248ae276388e42159&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flabelbox%2F&secure%5Burl_type%5D=linkedin_company_website)  
469 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Small, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Labelbox, highlighting its simple setup and accessible features for project management.
- Users commend the **easy and fast data labeling** process of Labelbox, enhancing workflow and improving data quality effectively.
- Users enjoy the **efficient project management** capabilities of Labelbox, streamlining tasks and enhancing overall organization.
- Users value the **AI capabilities** of Labelbox for simplifying data labeling and improving model accuracy effectively.
- Users find **easy integrations** with Labelbox, enhancing their experience with a user-friendly interface and quick setup.

##### Cons

- Users express frustration with the **lack of features** , feeling limited by the inability to customize and increase task availability.
- Users experience **slow performance** with Labelbox, especially when working with large datasets and output visualizations.
- Users find Labelbox to have **difficult learning** due to its complexity and slow processing with large datasets.
- Users find Labelbox **expensive** and express concerns about the high cost, especially for small-scale users.
- Users express frustration with the **slow processing** speed of Labelbox, delaying project initiation and overall experience.

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

**["LLM Training at it’s finest!"](https://www.g2.com/survey_responses/labelbox-review-11265400)**

**Rating:** 4.5/5.0 stars

_— Staci T._

[Read full review](https://www.g2.com/survey_responses/labelbox-review-11265400)

**["Professional Interface, Simple Setup, Needs Data Update"](https://www.g2.com/survey_responses/labelbox-review-12625977)**

**Rating:** 4.0/5.0 stars

_— Ashish S._

[Read full review](https://www.g2.com/survey_responses/labelbox-review-12625977)

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

- [How do I create a labeled dataset?](https://www.g2.com/discussions/how-do-i-create-a-labeled-dataset)
- [What is label tool?](https://www.g2.com/discussions/what-is-label-tool)
- [How do I download Labelbox?](https://www.g2.com/discussions/how-do-i-download-labelbox) - 2 comments
- [Is Labelbox open source?](https://www.g2.com/discussions/is-labelbox-open-source)

### [Lightning AI](https://www.g2.com/products/lightning-ai/reviews)

Turn ideas into AI, Lightning fast Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup

**Average Rating:** 4.5/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Lightning AI?

- **Application:** 7.9/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.3/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Lightning AI?

- **Seller:** [Lightning AI](https://www.g2.com/sellers/lightning-ai)
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd12437a92760db2ffe0150c223a68e2b7cc314078c2772c99626bfa48e380a1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpytorch-lightning&secure%5Burl_type%5D=linkedin_company_website)  
90 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Small, 25% Medium

#### What Do G2 Reviewers Say About Lightning AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of AI integration** with Lightning AI, enabling seamless model deployment and automation.
- Users value the **minimal setup required** for Lightning AI, simplifying the development of AI products significantly.
- Users value the **easy integrations** of Lightning AI, enabling seamless model creation and deployment without extensive setup.
- Users appreciate the **minimal setup required** with Lightning AI, facilitating effortless AI product development.
- Users appreciate the **ease of use** of Lightning AI, enabling quick model creation without complex setups.

##### Cons

- Users find the **cost challenges** with Lightning AI, especially for small teams or individual use.
- Users experience **slow customer support** and platform crashes during prolonged training, affecting usability and reliability.
- Users find the product **expensive** , particularly for small teams or individuals needing affordable solutions.
- Users highlight the **implementation difficulty** due to bugs and a steep learning curve for beginners.
- Users find **Lightning AI lacking in features** , citing limited customization and a frustratingly restrictive credit system.

#### What Are Recent G2 Reviews of Lightning AI?

**["LightingAI :A platform to build AI Products Lightning fast"](https://www.g2.com/survey_responses/lightning-ai-review-11065327)**

**Rating:** 5.0/5.0 stars

_— Shivam G._

[Read full review](https://www.g2.com/survey_responses/lightning-ai-review-11065327)

**["Best platform to train and deploy the AI models"](https://www.g2.com/survey_responses/lightning-ai-review-11037574)**

**Rating:** 5.0/5.0 stars

_— Rakshit A._

[Read full review](https://www.g2.com/survey_responses/lightning-ai-review-11037574)

### [Machine Learning Platform for AI](https://www.g2.com/products/machine-learning-platform-for-ai/reviews)

Machine Learning Platform For AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning Platform For AI combines all of these services to make AI more accessible than ever.

**Average Rating:** 4.6/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Machine Learning Platform for AI?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Machine Learning Platform for AI?

- **Seller:** [Alibaba](https://www.g2.com/sellers/alibaba)
- **HQ Location:** Hangzhou
- **Twitter:** @alibaba\_cloud  
1,189,812 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=04233a035f0a002519b0cdb9979126540aa93dd4a9519e658a93e9e729f58be9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1218665%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,110 employees on LinkedIn®
- **Ownership:** BABA
- **Total Revenue (USD mm):** $509,711

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

#### What Do G2 Reviewers Say About Machine Learning Platform for AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **intuitive interface and automation** that make machine learning accessible and efficient for all analysts.
- Users praise the **analysis efficiency** of the platform, enabling quick model building and insightful interpretations.
- Users value the **automation features** of the Machine Learning Platform, significantly reducing manual work and enhancing accessibility.
- Users appreciate the **ease of use** of the Machine Learning Platform for AI, simplifying model building for all analysts.
- Users value the **efficiency** of the Machine Learning Platform, which streamlines model building and saves significant time.

##### Cons

- Users find **deployment issues** due to additional setup steps and a need for better cloud integration with AWS and Azure.
- Users find the **pricing tiers high** , making it difficult for small organizations to adopt the Machine Learning Platform.
- Users face **implementation difficulties** due to complex documentation and additional setup steps for deployment.
- Users find the **workflow complexity** challenging due to advanced setups and inadequate documentation for customizations.

#### What Are Recent G2 Reviews of Machine Learning Platform for AI?

**["Rapid Model Development for Healthcare Data Analysis"](https://www.g2.com/survey_responses/machine-learning-platform-for-ai-review-12380307)**

**Rating:** 4.0/5.0 stars

_— Little\_Legit J._

[Read full review](https://www.g2.com/survey_responses/machine-learning-platform-for-ai-review-12380307)

**["Great experience using the software and learning many significant skills."](https://www.g2.com/survey_responses/machine-learning-platform-for-ai-review-9588784)**

**Rating:** 5.0/5.0 stars

_— Dipanshu W._

[Read full review](https://www.g2.com/survey_responses/machine-learning-platform-for-ai-review-9588784)

#### What Are G2 Users Discussing About Machine Learning Platform for AI?

- [What is Machine Learning Platform for AI used for?](https://www.g2.com/discussions/what-is-machine-learning-platform-for-ai-used-for)

### [Polyture](https://www.g2.com/products/polyture/reviews)

Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machine Learning, and Dashboards.

**Average Rating:** 5.0/5.0

**Total Reviews:** 4

#### Who Is the Company Behind Polyture?

- **Seller:** [Polyture](https://www.g2.com/sellers/polyture)
- **HQ Location:** Santa Clara, CA
- **Twitter:** @PolytureData  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["The best tool we've found for our company data"](https://www.g2.com/survey_responses/polyture-review-5059135)**

**Rating:** 5.0/5.0 stars

_— Kamal M._

[Read full review](https://www.g2.com/survey_responses/polyture-review-5059135)

**["Great for making live dashboards from Google Sheets"](https://www.g2.com/survey_responses/polyture-review-5129091)**

**Rating:** 5.0/5.0 stars

_— George C._

[Read full review](https://www.g2.com/survey_responses/polyture-review-5129091)

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

- [What is Polyture used for?](https://www.g2.com/discussions/what-is-polyture-used-for)

### [Rainbird](https://www.g2.com/products/rainbird/reviews)

Rainbird is an AI-powered automation platform. Our technology turns human knowledge into explainable machine intelligence. Scale-up your business expertise using the Rainbird platform. Book a free 15-minute demo to see how our technology can work for you: https://rainbird.ai/book-a-demo/ - Create smart automation with an easy-to-use modelling interface. - Connect Rainbird to APIs and data sources for real-time decisioning. - Modifiable risk controls, centralised governance and enhanced security. - Engage with transformational technology without the IT burden. No coders required. - Codify and scale your subject matter expertise, tackle fresh challenges and stay ahead of the competition. - Empower your staff to become dynamic, AI-powered decision-makers. For more information on our technology, please visit https://rainbird.ai/platform/ To view our customer stories, please visit http://bit.ly/2qAyS1Q Book a free 15-minute demo to see how our technology can work for you: https://rainbird.ai/book-a-demo/

**Average Rating:** 4.3/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Rainbird?

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

#### Who Is the Company Behind Rainbird?

- **Seller:** [Rainbird Technologies](https://www.g2.com/sellers/rainbird-technologies)
- **Year Founded:** 2013
- **HQ Location:** Norwich, GB
- **Twitter:** @RainBirdAI  
3,056 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4ece6c8bc951891110579c2cc7c3f6dec218fad5e9c817e2d12e64ea2fcf609e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3301089&secure%5Burl_type%5D=linkedin_company_website)  
44 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Medium, 25% Large

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

**["Dependable AI models generating reliable data"](https://www.g2.com/survey_responses/rainbird-review-8923452)**

**Rating:** 4.5/5.0 stars

_— Amita A._

[Read full review](https://www.g2.com/survey_responses/rainbird-review-8923452)

**["Valuable AI tool for business proficiency and decision making"](https://www.g2.com/survey_responses/rainbird-review-9765819)**

**Rating:** 4.5/5.0 stars

_— Sheetal H._

[Read full review](https://www.g2.com/survey_responses/rainbird-review-9765819)

### [RocketML](https://www.g2.com/products/rocketml/reviews)

RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analytics team, RocketML will cut your cycle time and costs of people and hardware.

**Average Rating:** 4.0/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate RocketML?

- **Application:** 8.8/10 (Category avg: 8.5/10)
- **Managed Service:** 7.9/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.8/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind RocketML?

- **Seller:** [RocketML](https://www.g2.com/sellers/rocketml-2a55c055-a259-4b7b-8d56-194576c2dc31)
- **Year Founded:** 2017
- **HQ Location:** Beaverton, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=030e3e495300e3b8a5061984ca6c3e07ccbc21e993135075f83f49f5662166b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frocketml&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **affordability and ease of use** of RocketML's automation for accelerated deep learning in healthcare.
- Users appreciate the **time and cost efficiency** of RocketML's cloud computing, significantly speeding up machine learning tasks.
- Users commend the **customer support** of RocketML for being satisfactory and helpful during their deep learning projects.
- Users value the **rapid development speed** of RocketML, which significantly reduces time and cost for machine learning projects.
- Users appreciate the **ease of use** of RocketML, finding it cheaper and simpler for healthcare LLM development.

##### Cons

- Users find the **complex coding** necessary for pipeline integration on RocketML can be quite challenging before deployment.
- Users find that **complex integration of pipelines** on RocketML can be challenging prior to production deployment.
- Users believe the **cost** of RocketML could be more competitive to enhance overall appeal.
- Users face **implementation difficulties** with complex pipeline integrations on RocketML before reaching final production stages.

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

**["RocketML is great ML Platform to handle ML Requirements!"](https://www.g2.com/survey_responses/rocketml-review-9807462)**

**Rating:** 4.0/5.0 stars

_— Deborishi G._

[Read full review](https://www.g2.com/survey_responses/rocketml-review-9807462)

**["Cost effective Large Language Model training through distributed deep learning"](https://www.g2.com/survey_responses/rocketml-review-10767163)**

**Rating:** 5.0/5.0 stars

_— Deborishi G._

[Read full review](https://www.g2.com/survey_responses/rocketml-review-10767163)

### [Azure AI Studio](https://www.g2.com/products/azure-ai-studio/reviews)

A unified platform for developing and deploying generative AI apps responsibly

**Average Rating:** 4.0/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Azure AI Studio?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 9.4/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.2/10 (Category avg: 8.2/10)

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

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Company Size:** 50% Large, 25% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **seamless integration with OpenAI** and access to multiple AI models in Azure AI Studio.
- Users appreciate the **intuitive interface** of Azure AI Studio, providing seamless access to all LLMs.
- Users value the **multiple AI model options** in Azure AI Studio, enhancing flexibility and functionality in applications.
- Users praise the **user-friendly interface** of Azure AI Studio, enjoying easy access to all LLMs available.

##### Cons

- Users often find **outdated content** in Azure AI Studio, leading to inefficiencies in model deployment and use.
- Users find the **time-consuming configuration** of chunk numbers challenging, affecting their overall productivity with Azure AI Studio.
- Users find the **chat interface lacking interactivity** , which affects the overall user-friendliness of Azure AI Studio.

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

**["All in one AI Studio"](https://www.g2.com/survey_responses/azure-ai-studio-review-10228224)**

**Rating:** 5.0/5.0 stars

_— Meerali N._

[Read full review](https://www.g2.com/survey_responses/azure-ai-studio-review-10228224)

**["Powerful AI Services, But Setup Challenging for Beginners"](https://www.g2.com/survey_responses/azure-ai-studio-review-11897479)**

**Rating:** 5.0/5.0 stars

_— Mayur K._

[Read full review](https://www.g2.com/survey_responses/azure-ai-studio-review-11897479)

### [Civis](https://www.g2.com/products/civis/reviews)

Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for better decisioning, targeting, and personalization. Aspects of Civis Customer Science include six “families”: Civis Platform: A workbench that enables data scientists and highly technical analysts to use their favorite tools to import and export data, conduct real-time analysis, and automate and scale their workflows so they can efficiently uncover and share insights with decision makers. Identity Resolution & Data Enrichment: Unifies disparate data sets to create a single view of consumers with first-party data, Civis’s proprietary data assets and a probabilistic person-matching algorithm. Research & Social Science: Survey science and creative testing to build better understanding of opinion using the Civis survey infrastructure and weighting methodology to remove bias from surveys. Predictive Modeling: Build and activate individual-level models that predict acquisition targets, lifetime value, likelihood to churn, persuadability, outcome-based segments, and media ingestion to effectively engage each consumer. Attribution & Optimization: Measurement of advertising performance across and within channels to optimize spend. Utilize algorithmic attribution attribution methodology to understand and optimize marketing ROI with a world-class causal inference model.

**Average Rating:** 4.7/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Civis?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Civis?

- **Seller:** [Civis Analytics](https://www.g2.com/sellers/civis-analytics)
- **Year Founded:** 2013
- **HQ Location:** Chicago, US
- **Twitter:** @CivisAnalytics  
8,392 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d239e4e8da32d28d7a185938a349dd2d4f49eb332b1bd69dcc4c91df83d49b1e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcivis-analytics&secure%5Burl_type%5D=linkedin_company_website)  
49 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 25% Large

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

**["Civis - A Powerful Data Science tool"](https://www.g2.com/survey_responses/civis-review-8639136)**

**Rating:** 5.0/5.0 stars

_— Nitesh R._

[Read full review](https://www.g2.com/survey_responses/civis-review-8639136)

**["Civis for redshift"](https://www.g2.com/survey_responses/civis-review-6598127)**

**Rating:** 4.0/5.0 stars

_— Zoe S._

[Read full review](https://www.g2.com/survey_responses/civis-review-6598127)

### [Code Ocean](https://www.g2.com/products/code-ocean/reviews)

Code Ocean is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computational Scientists set up and scale their workflows, work closer together, and lets them support non-coding bench scientists with accessible, intuitive applications. Built on FAIR data principles, it helps avoid technical debt, improves data architecture, and improves organizational compliance and quality.

**Average Rating:** 4.6/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Code Ocean?

- **Application:** 10.0/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 7.5/10 (Category avg: 8.2/10)
- **Ease of Admin:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Code Ocean?

- **Seller:** [Code Ocean](https://www.g2.com/sellers/code-ocean)
- **Year Founded:** 2016
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9e96488de39933f161a23ad6acfd7fc50ec88874feb37723180be6b45be360cd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F11008494&secure%5Burl_type%5D=linkedin_company_website)  
32 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 60% Medium, 40% Small

#### What Are Recent G2 Reviews of Code Ocean?

**["reproducible, professional data science deliverables"](https://www.g2.com/survey_responses/code-ocean-review-9896555)**

**Rating:** 5.0/5.0 stars

_— Aaron M._

[Read full review](https://www.g2.com/survey_responses/code-ocean-review-9896555)

**["Code Ocean Makes Running, Sharing, and Reproducing Research Code Effortless"](https://www.g2.com/survey_responses/code-ocean-review-13243636)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/code-ocean-review-13243636)

### [HyperSense AI](https://www.g2.com/products/hypersense-ai/reviews)

HyperSense platform is an end-to-end augmented analytics platform that helps enterprises makes faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It contains all the next-gen data analytics capabilities enterprises need in one flexible and modular platform. HyperSense‘s unique no-code capabilities allow users without a knowledge of coding to easily aggregate data from disparate sources, turn data into insights by building, interpreting, and tuning AI models, and effortlessly share their findings across the organization. It uses enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation. It empowers experts as well as non-data scientists by automating many aspects of data science, including model development, management, and deployment of AI models. HyperSense also includes several pre-built analytics use cases in marketing, finance, and technology verticals for enterprises to deliver ultra-fast results. In addition, customers can use the HyperSense platform to build their own tailor-made, AI-powered analytics applications.

**Average Rating:** 4.6/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate HyperSense AI?

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

#### Who Is the Company Behind HyperSense AI?

- **Seller:** [Subex](https://www.g2.com/sellers/subex)
- **Year Founded:** 1992
- **HQ Location:** Westminster, US
- **Twitter:** @Subex  
5,503 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=762443a1078f8a3f53a0c79a29825bfaf305b2ed03028faab84b5a1cc0cc9442&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsubex-ltd%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,487 employees on LinkedIn®
- **Ownership:** NSE: SUBEXLTD

#### Who Uses This Product?

- **Company Size:** 75% Small, 25% Medium

#### What Do G2 Reviewers Say About HyperSense AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users love how HyperSense AI's **accessible AI capabilities** empower non-experts to utilize advanced technology effortlessly.
- Users value the **accessibility of AI** through HyperSense, enabling non-experts to leverage advanced technology effortlessly.
- Users value the **real-time analytics** of HyperSense AI, which facilitates timely decision-making with ease.
- Users value the **actionable insights** provided by HyperSense AI, enabling better business decisions through data utilization.
- Users value the **business growth** facilitated by HyperSense AI through actionable insights and trend highlights for better decisions.

##### Cons

- Users find that **deploying and scaling costs** of HyperSense AI can be prohibitive, particularly for smaller organizations.
- Users express concern over **deployment issues** with HyperSense AI, particularly the high costs for smaller organizations.
- Users find the **difficult learning curve** challenging when trying to utilize HyperSense AI's advanced predictive modeling features.
- Users find the **pricing steep** , making it hard to justify for smaller projects or tight budgets.
- Users find a **steeper learning curve** for advanced features, making full utilization challenging for many.

#### What Are Recent G2 Reviews of HyperSense AI?

**["Sensing through Hypersense"](https://www.g2.com/survey_responses/hypersense-ai-review-10497981)**

**Rating:** 4.5/5.0 stars

_— Prateek Y._

[Read full review](https://www.g2.com/survey_responses/hypersense-ai-review-10497981)

**["HyperSense Al Turns Data Into Actionable Insights Fast"](https://www.g2.com/survey_responses/hypersense-ai-review-12349182)**

**Rating:** 4.5/5.0 stars

_— Md I._

[Read full review](https://www.g2.com/survey_responses/hypersense-ai-review-12349182)

#### What Are G2 Users Discussing About HyperSense AI?

- [What is HyperSense used for?](https://www.g2.com/discussions/what-is-hypersense-used-for)

- [‹ Prev‹ Prev](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score&page=5#product-list)
- [1](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score#product-list)
- [2](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score&page=2#product-list)
- [3](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score&page=3#product-list)
- [4](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score&page=4#product-list)
- [5](/categories/data-science-and-machine-learning-platforms?hsCtaTracking=e3fe859b-0d36-4cf8-85cf-2151a5747412%7Cf061fa73-bd90-460e-a7f8-942511082d38&order=g2_score&page=5#product-list)
- 6
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[Browse Data Science and Machine Learning Platforms Themes](/categories/data-science-and-machine-learning-platforms/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 22, 2026

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning (ML) algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core capabilities of data science and machine learning (DSML) software

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

- Present a way for developers to connect data to algorithms so they can learn and adapt
- Allow users to create ML algorithms and offer prebuilt algorithms for novice users
- Provide a platform for deploying AI at scale

How DSML software differs from other tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing ML–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

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