# Best MLOps Platforms for Medium-Sized Businesses

## How Many MLOps Platforms Products Does G2 Track?

**Total Products under this Category:** 262

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Arize AI (+1.02%) - Among all products in this category, Arize AI recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank MLOps Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 7,700+ Authentic Reviews
- 262+ 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 MLOps Platforms
 ![G2 Grid® for MLOps Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/mlops-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=10938&focus%5B%5D=1333204&focus%5B%5D=21469&focus%5B%5D=52115&focus%5B%5D=40451&focus%5B%5D=125020&focus%5B%5D=1327283)

Highlighted products: Databricks, Snowflake, Microsoft Fabric, Gemini Enterprise Agent Platform, Amazon SageMaker, Apache Airflow, Roboflow, and SAS Viya.

Underlying data: [Grid® JSON](https://www.g2.com/categories/mlops-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=snowflake&focus%5B%5D=microsoft-fabric&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=amazon-sagemaker&focus%5B%5D=apache-airflow&focus%5B%5D=roboflow&focus%5B%5D=sas-sas-viya&segment=mid-market)

**Sponsored**

### SAP Business Data Cloud

SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes.

[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=1910&secure%5Bchosen_at%5D=2026-08-15T10%3A56%3A45Z&secure%5Bdisplayable_resource_id%5D=1910&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1910&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1434713&secure%5Bresource_id%5D=1910&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmlops-platforms%2Fmid-market&secure%5Btoken%5D=c3b5dae0802b8317ce7979973d482d0cdaa02a8a7dd189bbf7383708cf798d0d&secure%5Burl%5D=https%3A%2F%2Fwww.sap.com%2Fdocuments%2F2026%2F03%2Fbc3a8c27-447f-0010-bca6-c68f7e60039b.rc.html%3Fcampaigncode%3DCRM-YD25-BDC-406625%26source%3DBDC-click-campaign-G2&secure%5Burl_type%5D=custom_url)

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

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

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,337

#### How Do G2 Users Rate Databricks?

- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)
- **Scalability:** 9.0/10 (Category avg: 9.0/10)
- **Metrics:** 8.8/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.8/10 (Category avg: 8.7/10)

#### 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

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

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

**Average Rating:** 4.5/5.0

**Total Reviews:** 713

#### How Do G2 Users Rate Snowflake?

- **Ease of Use:** 9.0/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 9.0/10)
- **Metrics:** 8.9/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Snowflake?

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Snowflake, finding it fast and effective for data sharing and analytics.
- Users value the **reliable features** of Snowflake, enjoying its intuitive interface and seamless data integration for analytics.
- Users find Snowflake's **data management capabilities** excellent for efficiently aggregating and querying across multiple datasets.
- Users admire the **seamless scalability** of Snowflake, effortlessly accommodating work demands and ensuring optimal performance.
- Users appreciate the **fast data analysis** of Snowflake, enabling quick insights without infrastructure worries.

##### Cons

- Users find Snowflake's **high costs** burdensome, especially for small businesses with limited budgets.
- Users find **feature limitations** in Snowflake, such as lack of code blocks and challenge in permissions management.
- Users find that **cost management** requires discipline, as unexpected charges can accumulate quickly without careful monitoring.
- Users find the **cost structure difficult to optimize** , leading to unexpectedly high initial expenses during implementation.
- Users find Snowflake's **limited features** in dynamic scripts and monitoring hinder flexibility and usability.

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

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

**Rating:** 4.5/5.0 stars

_— Ravindra N._

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

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

**Rating:** 4.0/5.0 stars

_— Harshil A._

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

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

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

### [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews)

Microsoft Fabric is a comprehensive, AI-powered data analytics platform that unifies various data management and analysis tools into a single, integrated environment. It combines the capabilities of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory, offering a seamless experience for data integration, engineering, warehousing, real-time analytics, data science, and business intelligence. By centralizing these services, Fabric simplifies data management, enhances collaboration, and accelerates the transformation of raw data into actionable insights. Key Features and Functionality: - Unified Data Lake (OneLake): Fabric provides a single, AI-ready data lake that centralizes and curates all business data within a unified, governed hub, ensuring all teams access accurate datasets securely. - AI-Powered Tools: The platform offers AI-enhanced tools tailored for various data projects, enabling teams to innovate faster and derive near real-time insights that drive business impact. - Integrated Analytics Solutions: Fabric encompasses data integration, data engineering, data warehousing, real-time analytics, data science, and business intelligence, all hosted on a lake-centric SaaS solution for simplicity and to maintain a single source of truth. - Built-in Security and Governance: With robust data security, governance, and compliance features, Fabric ensures that data is managed responsibly and in accordance with industry standards. Primary Value and User Solutions: Microsoft Fabric addresses the complexities associated with managing disparate data systems by providing a unified platform that streamlines data workflows. It empowers organizations to harness the full potential of their data, facilitating informed decision-making and fostering innovation. By integrating various data services, Fabric reduces operational overhead, enhances productivity, and supports the development of AI-driven solutions, positioning businesses to thrive in a data-centric landscape.

**Average Rating:** 4.7/5.0

**Total Reviews:** 44

#### How Do G2 Users Rate Microsoft Fabric?

- **Ease of Use:** 9.1/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 9.0/10)
- **Metrics:** 8.9/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Microsoft Fabric?

- **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?

- **Top Industries:** Information Technology and Services, Insurance
- **Company Size:** 38% Large, 38% Medium

#### What Do G2 Reviewers Say About Microsoft Fabric?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **ease of use** of Microsoft Fabric exceptional, allowing seamless adoption even without technical experience.
- Users value the **friendly and responsive customer support** that effectively addresses all inquiries and concerns.
- Users find Microsoft Fabric to be **incredibly intuitive** , making data management accessible for everyone in the organization.
- Users find the **easy setup** of Microsoft Fabric makes it accessible for teams with no prior ETL experience.
- Users value the **integration of tools** in Microsoft Fabric, enhancing usability and offering extensive features for efficiency.

##### Cons

- Users struggle with **formula limitations** in Microsoft Fabric, as some formulas differ from their familiar Excel environment.
- Users face a significant **learning curve** with Microsoft Fabric, which can hinder new users' experience and efficiency.
- Users find **Excel formula issues** frustrating, causing delays while adjusting to Microsoft Fabric's different formula logic.
- Users find a **steep learning curve** in Microsoft Fabric, which can complicate usage for newcomers to the platform.
- Users find that **training is required** to adjust to Microsoft Fabric's formula differences from Excel, but support is available.

#### What Are Recent G2 Reviews of Microsoft Fabric?

**["Great platform for data analytics development and workflow management"](https://www.g2.com/survey_responses/microsoft-fabric-review-10981663)**

**Rating:** 4.5/5.0 stars

_— Amr a._

[Read full review](https://www.g2.com/survey_responses/microsoft-fabric-review-10981663)

**["Finally got our data stack in one place, but costs need attention"](https://www.g2.com/survey_responses/microsoft-fabric-review-12740895)**

**Rating:** 4.0/5.0 stars

_— rishabh m._

[Read full review](https://www.g2.com/survey_responses/microsoft-fabric-review-12740895)

### [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:** 727

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

- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 9.0/10)
- **Metrics:** 8.2/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.3/10 (Category avg: 8.7/10)

#### 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

### [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?

- **Ease of Use:** 8.4/10 (Category avg: 8.8/10)
- **Scalability:** 9.6/10 (Category avg: 9.0/10)
- **Metrics:** 9.4/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.8/10 (Category avg: 8.7/10)

#### 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% Large, 33% Medium

#### 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)

### [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews)

Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring complex workflows. Developed in Python, it enables users to define workflows as code, facilitating dynamic pipeline generation and seamless integration with various technologies. Airflow's modular architecture and message queue system allow it to scale efficiently, managing workflows from single machines to large-scale distributed systems. Its user-friendly web interface provides comprehensive monitoring and management capabilities, offering clear insights into task statuses and execution logs. Key Features: - Pure Python: Workflows are defined using standard Python code, allowing for dynamic pipeline generation and easy integration with existing Python libraries. - User-Friendly Web Interface: A robust web application enables users to monitor, schedule, and manage workflows without the need for command-line interfaces. - Extensibility: Users can define custom operators and extend libraries to fit their specific environment, enhancing the platform's flexibility. - Scalability: Airflow's modular architecture and use of message queues allow it to orchestrate an arbitrary number of workers, making it ready to scale as needed. - Robust Integrations: The platform offers numerous plug-and-play operators for executing tasks across various cloud platforms and third-party services, facilitating easy integration with existing infrastructure. Primary Value and Problem Solving: Apache Airflow addresses the challenges of managing complex data workflows by providing a scalable and dynamic platform for workflow orchestration. By defining workflows as code, it ensures reproducibility, version control, and collaboration among teams. The platform's extensibility and robust integrations allow organizations to adapt it to their specific needs, reducing operational overhead and improving efficiency in data processing tasks. Its user-friendly interface and monitoring capabilities enhance transparency and control over workflows, leading to improved data quality and reliability.

**Average Rating:** 4.4/5.0

**Total Reviews:** 128

#### How Do G2 Users Rate Apache Airflow?

- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)
- **Scalability:** 9.1/10 (Category avg: 9.0/10)
- **Metrics:** 8.5/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Apache Airflow?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Medium, 31% Large

#### What Do G2 Reviewers Say About Apache Airflow?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Apache Airflow, facilitating efficient workflow creation and monitoring.
- Users appreciate the **intuitive dashboard** of Apache Airflow for effortlessly monitoring workflows and task statuses.
- Users highly value the **flexibility** of Apache Airflow, allowing for customized workflows via Python code.
- Users appreciate the **workflow automation** capabilities of Apache Airflow, simplifying complex data pipeline management.
- Users appreciate the **easy integrations** in Apache Airflow, making it flexible for connecting various systems and tools.

##### Cons

- Users face a **difficult setup** when installing Apache Airflow, especially on Windows systems, complicating the onboarding process.
- Users find the **learning curve challenging** , requiring time to grasp operators and manage workflows effectively.
- Users find the **steep learning curve** of Airflow challenging, especially with concepts and setup complexities.
- Users find the **learning difficulty** of Apache Airflow to be a barrier, particularly with Jinja and job setups.
- Users find the **outdated user interface** of Apache Airflow detracts from an otherwise reliable experience.

#### What Are Recent G2 Reviews of Apache Airflow?

**["Scalable Workflows with Apache Airflow, Best data Engineering tool for Orchestrator,Easy Deployment"](https://www.g2.com/survey_responses/apache-airflow-review-12703177)**

**Rating:** 4.5/5.0 stars

_— Rajesh K._

[Read full review](https://www.g2.com/survey_responses/apache-airflow-review-12703177)

**["Powerful for complex ML pipelines, but comes with a steep infrastructure learning curve"](https://www.g2.com/survey_responses/apache-airflow-review-12935519)**

**Rating:** 5.0/5.0 stars

_— Sachin G._

[Read full review](https://www.g2.com/survey_responses/apache-airflow-review-12935519)

#### What Are G2 Users Discussing About Apache Airflow?

- [What is Apache Airflow used for?](https://www.g2.com/discussions/what-is-apache-airflow-used-for)
- [What is airflow technology?](https://www.g2.com/discussions/what-is-airflow-technology) - 1 comment
- [Is airflow a framework?](https://www.g2.com/discussions/is-airflow-a-framework) - 1 comment
- [Is Apache airflow an ETL tool?](https://www.g2.com/discussions/is-apache-airflow-an-etl-tool) - 1 comment
- [Who is using Apache airflow?](https://www.g2.com/discussions/who-is-using-apache-airflow) - 1 comment

### [Roboflow](https://www.g2.com/products/roboflow/reviews)

Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.

**Average Rating:** 4.7/5.0

**Total Reviews:** 155

#### How Do G2 Users Rate Roboflow?

- **Ease of Use:** 9.3/10 (Category avg: 8.8/10)
- **Scalability:** 10.0/10 (Category avg: 9.0/10)
- **Metrics:** 10.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Roboflow?

- **Seller:** [Roboflow](https://www.g2.com/sellers/roboflow)
- **Year Founded:** 2019
- **HQ Location:** Remote, US
- **Twitter:** @roboflow  
13,577 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=660f87d85fdd82e0f1cecfe2354a16103bb5a6f5508134496575ec655201678c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F36096640&secure%5Burl_type%5D=linkedin_company_website)  
144 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, Researcher
- **Top Industries:** Computer Software, Research
- **Company Size:** 78% Small, 14% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive interface** of Roboflow, enabling efficient annotation and seamless collaboration for computer vision projects.
- Users value the **efficiency** of Roboflow, praising its streamlined dataset management that saves time and reduces errors.
- Users appreciate the **annotation efficiency** of Roboflow, enjoying streamlined dataset management that saves time and reduces errors.
- Users appreciate the **easy data labelling process** in Roboflow, which streamlines annotation and enhances team collaboration.
- Users appreciate the **powerful and versatile features** of Roboflow, enhancing academic projects and computer vision tasks.

##### Cons

- Users find Roboflow **expensive** , especially for students, as key features require paid plans for privacy and customization.
- Users note a **lack of features** for advanced analytics and customization on lower-tier plans in Roboflow.
- Users find **limited functionality** in Roboflow, facing challenges like feature restrictions and lack of flexibility in advanced tasks.
- Users experience **annotation issues** with Roboflow, often needing extensive manual adjustments for accuracy and efficiency.
- Users find **inefficient labeling** management cumbersome, needing manual organization and lacking shortcuts for smoother annotation completion.

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

**["Speeds up our agri‑CV research"](https://www.g2.com/survey_responses/roboflow-review-12692685)**

**Rating:** 5.0/5.0 stars

_— Alexey K._

[Read full review](https://www.g2.com/survey_responses/roboflow-review-12692685)

**["Roboflow Makes Computer Vision Projects Easy to Build, Train, and Deploy"](https://www.g2.com/survey_responses/roboflow-review-12984362)**

**Rating:** 5.0/5.0 stars

_— noah r._

[Read full review](https://www.g2.com/survey_responses/roboflow-review-12984362)

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

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

**Average Rating:** 4.3/5.0

**Total Reviews:** 775

#### How Do G2 Users Rate SAS Viya?

- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 8.2/10 (Category avg: 9.0/10)
- **Metrics:** 8.7/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.5/10 (Category avg: 8.7/10)

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

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

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** 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

### [Arize AX](https://www.g2.com/products/arize-ax/reviews)

Arize AI is the continual learning and AI engineering platform for observing, evaluating, and improving AI agents and LLM applications across development and production. Trusted by leading AI startups, 25% of Fortune 100 companies, and 150+ enterprises, including Uber, DoorDash, Reddit, and Atlassian. Traditional APM tells teams whether an application is fast and available. Arize goes further, showing whether an AI system behaved as intended and delivered a high-quality, trustworthy response. OBSERVE how your agents actually behave. Trace every step of a session, including prompts, tool calls, retrievals, chains, and multi-agent swarms. ADB, Arize’s purpose-built datastore, unifies traces and eval data in open formats. Its elastic architecture supports real-time streaming and high-volume querying while allowing teams to access their data from existing tools and warehouses without exporting or duplicating it. EVALUATE agent quality using those same traces. Run LLM-as-a-judge, code-based, and Agent-as-a-Judge evaluations to assess quality and score outcomes. Run offline evaluations on datasets to test and compare changes before release, and online evaluations on production traces to monitor quality and detect regressions over time. IMPROVE CONTINUOUSLY by turning production feedback into an agent improvement loop. Signal, Arize’s always-on Agent SRE, continuously reviews production traces to surface emerging issues and failure patterns. Connect to a repository and Arize managed agents can investigate issues and propose fixes as pull requests for human review. Engineers can also use Arize Skills to investigate traces, create datasets and evals, and run experiments from Cursor, Claude Code, Codex, and other coding agents. Arize AI, the team behind OpenInference, provides open, portable instrumentation built on OpenTelemetry, with integrations across more than 40+ models, frameworks, and tools. Arize meets production-grade security and compliance requirements, including SOC 2 Type II, ISO 27001, HIPAA, and GDPR. The team also maintains Phoenix, the open-source AI observability and evaluation platform used by AI engineers worldwide.

**Average Rating:** 4.3/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Arize AX?

- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 9.0/10)
- **Metrics:** 9.0/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Arize AX?

- **Seller:** [Arize AI](https://www.g2.com/sellers/arize-ai)
- **HQ Location:** San Francisco, California, United States
- **Twitter:** @arizeai  
4,614 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=37a38166011e22b26a4a9413eed777bca34df0aef7afede9fe52360a5760c362&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Farizeai%2Fabout&secure%5Burl_type%5D=linkedin_company_website)  
197 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 40% Medium, 38% Small

#### What Do G2 Reviewers Say About Arize AX?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **intuitive interface** of Arize AI, which simplifies monitoring and understanding machine learning models.
- Users appreciate the **comprehensive model monitoring features** of Arize AI, enabling effective ML operations and quick onboarding.
- Users appreciate the **real-time monitoring capabilities** of Arize AI, enhancing their understanding and management of machine learning models.
- Users commend the **responsive and diligent support team** of Arize AI, enhancing their overall experience and installation process.
- Users value the **smooth visualization capabilities** of Arize AI, enhancing their machine learning monitoring experience effectively.

##### Cons

- Users note a lack of **missing features** in Arize AI, which limits its potential and relevance in LLM work.
- Users report **performance issues** with Arize AI, experiencing slow response times and rendering challenges with large datasets.
- Users report **slow performance** in Arize AI, particularly with UI response times and large dataset visualizations.
- Users desire a **better API integration** in Arize AI for enhanced feature accessibility and usability.
- Users find the **difficult learning curve** of Arize AI challenging, especially for newcomers to machine learning operations.

#### What Are Recent G2 Reviews of Arize AX?

**["Powerful LLM Observability: Tracing, Evaluations, and Monitoring in One Platform"](https://www.g2.com/survey_responses/arize-ax-review-13238826)**

**Rating:** 5.0/5.0 stars

_— jamsheed I._

[Read full review](https://www.g2.com/survey_responses/arize-ax-review-13238826)

**["Arize AX Makes AI Observability and LLM Tracing Easy"](https://www.g2.com/survey_responses/arize-ax-review-13227247)**

**Rating:** 4.5/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/survey_responses/arize-ax-review-13227247)

### [SuperAnnotate](https://www.g2.com/products/superannotate/reviews)

SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thousands of rigorously vetted experts, ethical and scalable managed operations, precise talent matching, and purpose‑built technology, SuperAnnotate delivers full project visibility and unmatched data quality. SuperAnnotate powers complex annotation, evaluation, and reinforcement learning workflows to build, evaluate and align frontier AI. Trusted by innovators like Databricks, IBM and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate enables the world’s top AI teams to build responsible and state‑of‑the‑art models with human data.

**Average Rating:** 4.8/5.0

**Total Reviews:** 354

#### How Do G2 Users Rate SuperAnnotate?

- **Ease of Use:** 9.5/10 (Category avg: 8.8/10)
- **Scalability:** 9.9/10 (Category avg: 9.0/10)
- **Metrics:** 9.7/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.9/10 (Category avg: 8.7/10)

#### Who Is the Company Behind SuperAnnotate?

- **Seller:** [SuperAnnotate](https://www.g2.com/sellers/superannotate)
- **Company Website:** superannotate.com
- **Year Founded:** 2018
- **HQ Location:** San Francisco, CA
- **Twitter:** @superannotate  
720 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ed4d3a394b0ca2eaac6c63041f9bd1bf14ee26538d356cd977a2b0f50c15f4d1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18999422%2F&secure%5Burl_type%5D=linkedin_company_website)  
361 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Data Trainer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Small, 23% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive interface** of SuperAnnotate, making large-scale annotation projects easy to manage and efficient.
- Users appreciate the **user-friendly interface** of SuperAnnotate, which enhances the efficiency and accuracy of their annotation tasks.
- Users value the **annotation efficiency** of SuperAnnotate, enabling quick, consistent, and high-quality annotations across diverse projects.
- Users commend the **efficiency** of SuperAnnotate, appreciating the time saved and the streamlined annotation process.
- Users value SuperAnnotate for its **high-quality annotations** , ensuring consistent and efficient collaboration and management of projects.

##### Cons

- Users notice **performance issues** with SuperAnnotate, particularly related to loading times and occasional technical glitches.
- Users experience **slow performance** with SuperAnnotate, particularly during image cropping and handling large projects.
- Users find the **difficult learning** curve for advanced features challenging, impacting their overall experience with SuperAnnotate.
- Users find the **complexity of the platform** daunting, particularly for new users navigating advanced features.
- Users find a **lack of guidance** in SuperAnnotate, making it challenging for newcomers to navigate advanced features effectively.

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

**["Easy-to-Use Data Organization and Powerful Image-Splitting Tools"](https://www.g2.com/survey_responses/superannotate-review-13146852)**

**Rating:** 5.0/5.0 stars

_— Doniaa K._

[Read full review](https://www.g2.com/survey_responses/superannotate-review-13146852)

**["Streamlined Data Annotation with Ease"](https://www.g2.com/survey_responses/superannotate-review-13215367)**

**Rating:** 5.0/5.0 stars

_— EMAN S._

[Read full review](https://www.g2.com/survey_responses/superannotate-review-13215367)

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

- [What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?](https://www.g2.com/discussions/what-is-your-experience-with-superannotate-for-data-annotation-and-what-would-you-like-to-see-improved) - 1 comment
- [How do I annotate an image in OpenCV?](https://www.g2.com/discussions/how-do-i-annotate-an-image-in-opencv)
- [Is SuperAnnotate free?](https://www.g2.com/discussions/is-superannotate-free)
- [How do you use SuperAnnotate?](https://www.g2.com/discussions/how-do-you-use-superannotate)
- [What is SuperAnnotate?](https://www.g2.com/discussions/what-is-superannotate) - 1 comment, 2 upvotes

### [Encord](https://www.g2.com/products/encord/reviews)

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

**Average Rating:** 4.8/5.0

**Total Reviews:** 65

#### How Do G2 Users Rate Encord?

- **Ease of Use:** 9.5/10 (Category avg: 8.8/10)
- **Scalability:** 9.8/10 (Category avg: 9.0/10)
- **Metrics:** 10.0/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Encord?

- **Seller:** [Encord](https://www.g2.com/sellers/encord)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **Twitter:** @encord\_team  
1,014 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b5b79c871099fa074d165dec60c3345148d0ae005f29a546864b838e8a7500a8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F69557125&secure%5Burl_type%5D=linkedin_company_website)  
205 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Hospital & Health Care
- **Company Size:** 51% Small, 40% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **responsive customer support** from Encord, ensuring quick assistance during their project needs.
- Users praise Encord for its **annotation efficiency** , streamlining workflows and enhancing speed in data curation tasks.
- Users value the **intuitive interface and seamless integration** of Encord's annotation tools for efficient data workflow.
- Users appreciate the **efficiency** of Encord, highlighting smooth workflows and quick integration that enhances their productivity.
- Users value Encord's **intuitive interface and seamless integration** , enhancing their workflows with efficient data curation and support.

##### Cons

- Users find **complex automation** challenging, though the supportive team helps navigate the intricacies of custom workflows.
- Users find it challenging to stay current due to **frequent updates** , but support from the team is helpful.
- Users find the **lack of guidance** challenging due to rapid feature updates, despite helpful customer support.

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

**["Strong video labeling platform with excellent support"](https://www.g2.com/survey_responses/encord-review-12281672)**

**Rating:** 5.0/5.0 stars

_— Angela S._

[Read full review](https://www.g2.com/survey_responses/encord-review-12281672)

**["Built for fast model development cycles"](https://www.g2.com/survey_responses/encord-review-12219596)**

**Rating:** 5.0/5.0 stars

_— Brian E._

[Read full review](https://www.g2.com/survey_responses/encord-review-12219596)

### [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.

**Average Rating:** 4.3/5.0

**Total Reviews:** 87

#### How Do G2 Users Rate Azure Machine Learning?

- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)
- **Scalability:** 9.2/10 (Category avg: 9.0/10)
- **Metrics:** 8.3/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 9.2/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Azure Machine Learning?

- **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?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 40% Large, 33% Small

#### What Do G2 Reviewers Say About Azure Machine Learning?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Azure Machine Learning to be **easy to use** , facilitating seamless data management and model implementation.
- Users appreciate the **scalability and integration** of Azure Machine Learning, enhancing AI deployment across various applications.
- Users appreciate the **excellent customer support** of Azure Machine Learning, with helpful documentation and community assistance available.
- Users appreciate the **ease of use and rich features** of Azure Machine Learning for effective data management.
- Users appreciate the **efficiency** of Azure Machine Learning for launching and monitoring jobs seamlessly, enhancing productivity.

##### Cons

- Users find the **learning curve challenging** , requiring time and effort to navigate the platform's tools effectively.
- Users find Azure Machine Learning's **difficult navigation** frustrating due to its disordered interface and non-intuitive workflows.
- Users find the **user interface disorganized** , leading to confusion and excessive clicking to locate options.
- Users find the **complex interface** of Azure Machine Learning non-intuitive, complicating their workflow and experience.
- Users face a **difficult learning curve** with Azure Machine Learning, especially if they are new to the platform.

#### What Are Recent G2 Reviews of Azure Machine Learning?

**["An Enterprise-Grade Way to Operationalize ML"](https://www.g2.com/survey_responses/azure-machine-learning-review-12853548)**

**Rating:** 4.0/5.0 stars

_— Vytas J._

[Read full review](https://www.g2.com/survey_responses/azure-machine-learning-review-12853548)

**["Cost-Efficient Medical Data Integration Backed by Great Support"](https://www.g2.com/survey_responses/azure-machine-learning-review-12845990)**

**Rating:** 5.0/5.0 stars

_— Giridharan U._

[Read full review](https://www.g2.com/survey_responses/azure-machine-learning-review-12845990)

#### What Are G2 Users Discussing About Azure Machine Learning?

- [What is Azure Machine Learning Studio used for?](https://www.g2.com/discussions/what-is-azure-machine-learning-studio-used-for) - 1 comment
- [What type of data analysis is azure machine learning studio intended for?](https://www.g2.com/discussions/what-type-of-data-analysis-is-azure-machine-learning-studio-intended-for)
- [What are the key features of Azure Machine Learning?](https://www.g2.com/discussions/what-are-the-key-features-of-azure-machine-learning)
- [How do I use Microsoft Azure for machine learning?](https://www.g2.com/discussions/how-do-i-use-microsoft-azure-for-machine-learning)
- [What is Azure Machine Learning Studio?](https://www.g2.com/discussions/what-is-azure-machine-learning-studio)

### [Anyscale](https://www.g2.com/products/anyscale/reviews)

The AI Platform for AI Companies. Develop AI with unmatched scale, performance, and efficiency

**Average Rating:** 4.4/5.0

**Total Reviews:** 19

#### How Do G2 Users Rate Anyscale?

- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)
- **Scalability:** 9.5/10 (Category avg: 9.0/10)
- **Metrics:** 9.0/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 7.5/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Anyscale?

- **Seller:** [Anyscale](https://www.g2.com/sellers/anyscale)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=19ce8e4a6fc0d406af08a2d66b1b9ca4f03e1a4824b7db1e9f0593f572c5dd91&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjoinanyscale&secure%5Burl_type%5D=linkedin_company_website)  
177 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 50% Medium, 35% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with Anyscale, simplifying AI application deployment from development to production seamlessly.
- Users value the **exceptional scalability** of Anyscale, facilitating seamless transitions from development to production for AI workloads.
- Users value the **scalability of AI/ML workloads** offered by Anyscale, streamlining development to production effortlessly.
- Users appreciate the **seamless AI integration** with Anyscale, simplifying deployment and enhancing productivity for AI applications.
- Users value Anyscale's **automation capabilities** , which simplify deploying AI applications while eliminating infrastructure complexities.

##### Cons

- Users find the **pricing structure unclear** , complicating cost planning and making it difficult to anticipate monthly bills.
- Users find the **pricing structure unclear** , complicating cost planning and making expenses difficult to predict.
- Users face **challenges with debugging** during the building process, which can hinder overall productivity and efficiency.
- Users report that **debugging issues** can create challenges during the build process with Anyscale.
- Users feel the **insufficient learning resources** hinder onboarding, as documentation lacks clarity and examples for beginners.

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

**["Effortless Ray Scaling for Distributed AI/ML—Less Infrastructure, More Productivity"](https://www.g2.com/survey_responses/anyscale-review-13224267)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/anyscale-review-13224267)

**["Effortless Ray-Powered Scaling for Training Workloads"](https://www.g2.com/survey_responses/anyscale-review-13230613)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/anyscale-review-13230613)

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

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

### [Weights & Biases](https://www.g2.com/products/weights-biases/reviews)

Weights & Biases is the AI developer platform to build AI applications and models with confidence. ML engineers and AI developers use W&B Weave and W&B Models to coordinate all LLMops and MLops processes, including evaluating, debugging, training, fine-tuning, and deploying. W&B Weave helps developers evaluate, monitor and iterate on their AI applications to continuously improve quality, latency, cost, and safety. W&B Models boosts experiment speed and team collaboration among ML teams, helping them bring models to production faster while ensuring performance, data reliability, and security. W&B also serves as the system of record for all ML and AI activities.

**Average Rating:** 4.5/5.0

**Total Reviews:** 54

#### How Do G2 Users Rate Weights & Biases?

- **Ease of Use:** 8.6/10 (Category avg: 8.8/10)
- **Scalability:** 8.3/10 (Category avg: 9.0/10)
- **Metrics:** 9.0/10 (Category avg: 8.7/10)
- **Framework Flexibility:** 8.6/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Weights & Biases?

- **Seller:** [CoreWeave](https://www.g2.com/sellers/coreweave)
- **Year Founded:** 2017
- **HQ Location:** New York, US
- **Twitter:** @CoreWeave  
23,758 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8dc6fb72f750b09440d04ea4332dc85d5858c061be8cb5e2539ff9987d0c7aee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoreweave%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,289 employees on LinkedIn®
- **Ownership:** NASDAQ:CRWV

#### Who Uses This Product?

- **Top Industries:** Computer Software, Research
- **Company Size:** 49% Small, 33% Medium

#### What Do G2 Reviewers Say About Weights & Biases?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Weights & Biases, simplifying tracking and sharing experiments effortlessly.
- Users praise the **seamless integration** of Weights & Biases with libraries, enhancing collaboration and simplifying experiment management.
- Users value the **easy setup** of Weights & Biases, enhancing productivity and simplifying collaboration across multiple platforms.
- Users appreciate the **fast and experienced customer support** of Weights & Biases, enhancing their overall experience.
- Users appreciate the **customization flexibility** of Weights & Biases for logging parameters and visualizing model comparisons.

##### Cons

- Users are often frustrated by the **insufficient documentation for basic functionalities** in Weights & Biases.
- Users find the **lack of guidance** in documentation frustrating, especially when seeking basic functionalities in Weights & Biases.
- Users find a **lack of tools** for easily discarding non-useful runs, complicating their workflow with Weights & Biases.
- Users desire **additional features** like global normalization settings and better control over window management on reload.
- Users find the **poor documentation** frustrating, especially when seeking basic functionalities of Weights & Biases.

#### What Are Recent G2 Reviews of Weights & Biases?

**["Essential ML Experiment Tracking with Real-Time Metrics and Team Collaboration"](https://www.g2.com/survey_responses/weights-biases-review-13193236)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/weights-biases-review-13193236)

**["Streamlined ML Experiment Tracking with Rich Visualizations and Team Collaboration"](https://www.g2.com/survey_responses/weights-biases-review-13216765)**

**Rating:** 4.0/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/survey_responses/weights-biases-review-13216765)

#### What Are G2 Users Discussing About Weights & Biases?

- [What is Weights & Biases used for?](https://www.g2.com/discussions/what-is-weights-biases-used-for) - 1 comment

### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

**Average Rating:** 4.3/5.0

**Total Reviews:** 522

#### How Do G2 Users Rate SAP HANA Cloud?

- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
- Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
- Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management.
- Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined.
- Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications.

##### Cons

- Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems.
- Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise.
- Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions.
- Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation.
- Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Effortless Data Integration and Scalability"](https://www.g2.com/survey_responses/sap-hana-cloud-review-13233144)**

**Rating:** 4.5/5.0 stars

_— Verified User_

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-13233144)

**["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)

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