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About

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.

About

Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs

Audience

Large enterprises and data-driven organizations looking to unify, analyze, and scale their data operations using high-performance cloud analytics and AI-powered insights across hybrid or multi-cloud environments.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Try a Free Trial or speak to an expert.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros from Real Users

Pros

  • I’ve been using Teradata VantageCloud for the past few months, and I’m thoroughly impressed by its capabilities. It’s an incredibly powerful cloud analytics platform that has enabled our team to scale smarter, govern data better, and make breakthrough decisions faster. The seamless integration with AWS, Azure, and Google Cloud means we have flexibility in deployment, and its performance is top-notch.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids

Company Information

Teradata
Founded: 1979
United States
www.teradata.com

Alternatives

Alternatives

Categories

AI Infrastructure Supported
Data Science Supported

Categories

Big Data Supported

Teradata VantageCloud: Scalable Cloud Analytics and AI Platform VantageCloud is Teradata’s enterprise cloud platform built to manage the largest and most complex data ecosystems. It brings together data from across the organization, enabling advanced analytics, seamless AI deployment, and real-time insights — all within a single, scalable environment. With support for multi-cloud and hybrid deployments, VantageCloud allows businesses to manage data across AWS, Azure, Google Cloud, and on-premises systems with ease. Its open architecture ensures compatibility with modern tools and industry standards, reducing complexity and avoiding vendor lock-in. By delivering trusted AI, harmonized data, and high-performance analytics, VantageCloud equips organizations to uncover new opportunities, accelerate innovation, and make confident, data-driven decisions at scale.

Teradata VantageCloud: Cloud Analytics and AI for Smarter Business Intelligence VantageCloud is Teradata’s enterprise-grade cloud analytics and data platform, designed to help organizations turn data into actionable intelligence. By unifying data from multiple sources, it enables businesses to run advanced analytics, generate insights at scale, and power AI-driven decision-making — all from a single, scalable platform. With built-in support for multi-cloud and hybrid environments, VantageCloud provides flexibility to manage data across AWS, Azure, Google Cloud, and on-premises systems. Its open architecture ensures seamless integration with existing BI tools and industry-standard formats, helping companies avoid vendor lock-in and maximize their data investments. VantageCloud delivers trusted AI, harmonized data, and high-performance analytics, giving business leaders the clarity and confidence to make faster, smarter decisions that drive growth and innovation.

Data Analysis Supported

Teradata VantageCloud is a cloud-native platform designed for advanced data analysis at enterprise scale. It unifies structured and semi-structured data across multi-cloud and hybrid environments, enabling users to run complex SQL queries, perform statistical analysis, and deploy AI/ML models—all within a single, scalable system. VantageCloud supports open-source tools like Python, R, and Jupyter, and integrates with popular BI platforms for visualization. Its high-performance engine and open architecture make it ideal for organizations seeking deep insights, operational intelligence, and real-time decision-making from diverse data sources.

Data Engineering Supported

Teradata VantageCloud is a cloud-native platform built for modern data engineering at scale. It enables teams to ingest, transform, and orchestrate structured and semi-structured data across multi-cloud and hybrid environments. With support for SQL, Python, and R, VantageCloud integrates with popular data pipelines and tools, allowing for efficient ETL/ELT workflows, real-time processing, and advanced analytics. Its open architecture ensures interoperability with industry standards, while built-in governance and workload management help maintain performance and compliance. Ideal for data engineers building resilient, scalable data infrastructure.

Data Fabric Supported

Teradata VantageCloud is a cloud-native data platform that functions as a dynamic data fabric, enabling seamless access, integration, and management of data across multi-cloud and hybrid environments. It unifies structured and semi-structured data from diverse sources into a harmonized layer, supporting real-time analytics, AI/ML workflows, and enterprise-scale governance. VantageCloud’s open architecture ensures interoperability with modern data tools and standards, reducing vendor lock-in. With built-in capabilities for data quality, lineage, and policy enforcement, it empowers organizations to create a trusted, agile data foundation for innovation and insight.

Data Governance Supported

Teradata VantageCloud is a cloud-native platform that combines enterprise-grade data management with built-in governance capabilities. It enables organizations to unify data across multi-cloud and hybrid environments while maintaining control, transparency, and compliance. VantageCloud supports trusted AI, robust metadata management, and policy enforcement, helping teams ensure data quality, lineage, and accountability. Its open architecture integrates with modern governance tools and standards, reducing vendor lock-in and enabling secure, scalable analytics. Ideal for enterprises seeking to balance innovation with strong data oversight.

Data Intelligence Supported
Data Lake Supported

Teradata VantageCloud is a cloud-native platform that combines the scalability of a data lake with the performance of a data warehouse. It enables organizations to ingest, store, and analyze structured and semi-structured data across multi-cloud and hybrid environments. VantageCloud supports open data formats and integrates with modern analytics and AI/ML tools, allowing users to extract insights from raw data without complex migrations. Its unified architecture provides governance, security, and real-time access, making it ideal for enterprises seeking a flexible, intelligent data lake foundation for advanced analytics.

Data Management Supported

Teradata VantageCloud is a modern, cloud-native data management platform designed to help organizations unify, manage, and analyze data across complex environments. Built for scalability and openness, VantageCloud supports multi-cloud and hybrid deployments, enabling seamless data operations across public clouds and on-premises infrastructure. Core Capabilities: - Unified Data Fabric: Integrates diverse data sources into a single, harmonized environment for consistent access and governance. - Scalable Architecture: Handles high-volume workloads with elastic performance across cloud and hybrid infrastructures. - Open & Interoperable: Supports industry-standard formats and integrates with modern data ecosystems, reducing vendor lock-in. - AI/ML-Ready: Enables deployment of machine learning models and advanced analytics directly within the platform. - Governance & Trust: Built-in data governance and “Trusted AI” features ensure transparency, compliance, and reliability.

Data Preparation Supported

Teradata VantageCloud is a cloud-native platform that streamlines enterprise-scale data preparation for analytics and AI. It enables users to ingest, cleanse, transform, and harmonize structured and semi-structured data across multi-cloud and hybrid environments. With support for SQL, Python, and R, VantageCloud integrates with popular data prep and analytics tools, allowing for scalable, automated workflows. Its open architecture ensures compatibility with industry standards, while built-in governance features help maintain data quality and compliance. Ideal for organizations seeking efficient, secure, and flexible data preparation at scale.

Data Science Supported

Teradata VantageCloud is a cloud-native platform built to support the full data science lifecycle at enterprise scale. It enables data scientists to access, prepare, and analyze data across multi-cloud and hybrid environments, with native support for SQL, Python, R, and Jupyter notebooks. VantageCloud integrates machine learning and AI capabilities directly into the platform, allowing for scalable model development, training, and deployment. Its open architecture ensures compatibility with modern data science tools, while built-in governance features support transparency and compliance. Ideal for teams seeking to operationalize data science across complex infrastructures.

Data Visualization Supported

Teradata VantageCloud is a comprehensive cloud-native analytics and data platform designed to unify data sources, run advanced analytics, and support AI/ML workflows—all within a scalable, multi-cloud environment. While not a traditional data visualization tool, VantageCloud integrates seamlessly with leading BI and visualization platforms (e.g., Tableau, Power BI, Looker), enabling users to visualize insights derived from complex, enterprise-scale analytics. Key Features: - Unified Data Access: Connects and harmonizes data across public clouds and on-prem environments. - Trusted AI Integration: Supports deployment of AI models with governance and transparency. - Open Architecture: Compatible with industry-standard formats and tools, reducing vendor lock-in. - Scalable Performance: Built for high-volume, high-speed analytics across hybrid infrastructures. - Visualization Support: Enables visualization through integrations with third-party tools, not native dashboards.

Data Warehouse Supported

Teradata VantageCloud is a cloud-native data warehouse platform built for enterprise-scale analytics. It unifies structured and semi-structured data across multi-cloud and hybrid environments, enabling high-performance querying, advanced analytics, and AI/ML integration. VantageCloud supports ANSI SQL, open data formats, and seamless interoperability with modern data tools—reducing vendor lock-in. Its scalable architecture handles complex workloads with built-in governance, making it ideal for organizations seeking a flexible, secure, and future-ready data warehouse solution.

Database Supported

Teradata VantageCloud is a cloud-native database and analytics platform designed for enterprise-scale data management. It unifies structured and semi-structured data across multi-cloud and hybrid environments, enabling high-performance querying, advanced analytics, and AI/ML model deployment. VantageCloud supports ANSI SQL and integrates with popular data tools, offering an open architecture that avoids vendor lock-in. Built for scalability and reliability, it handles complex workloads while ensuring governance and security. Ideal for organizations seeking a powerful, flexible database solution that goes beyond storage to deliver actionable insights.

Teradata VantageCloud is a cloud-native database management system designed for enterprise-scale data operations. It supports relational and semi-structured data, offering high-performance SQL querying, workload management, and advanced analytics across multi-cloud and hybrid environments. VantageCloud enables seamless data integration, governance, and scalability, while supporting open standards to reduce vendor lock-in. With built-in support for AI/ML and interoperability with modern data tools, it empowers organizations to manage, analyze, and operationalize data efficiently across complex infrastructures.

Machine Learning Supported

Teradata VantageCloud is a cloud-native data and analytics platform built to support enterprise-scale machine learning and AI. It enables organizations to prepare, manage, and analyze data across multi-cloud and hybrid environments, with integrated tools for feature engineering, model training, and deployment. VantageCloud supports open-source frameworks like Python, R, and Jupyter, and offers built-in governance for “Trusted AI” to ensure transparency and compliance. Its scalable architecture and SQL-based access make it ideal for operationalizing ML workflows and embedding intelligence into business processes.

OLAP Databases Supported

Teradata VantageCloud is a cloud-native OLAP database platform designed for complex, high-performance analytical workloads at enterprise scale. It enables multidimensional analysis across structured and semi-structured data, supporting advanced SQL queries, real-time analytics, and AI/ML integration. VantageCloud runs across multi-cloud and hybrid environments, offering elastic scalability and robust workload management. Its open architecture ensures compatibility with modern data tools and formats, while built-in governance and security features support trusted, compliant analytics. Ideal for organizations needing fast, reliable insights from large, diverse datasets.

RDBMS Supported

Teradata VantageCloud is a cloud-native RDBMS platform designed for enterprise-scale data management and analytics. It supports ANSI SQL and relational data models, enabling high-performance querying across structured and semi-structured data. VantageCloud runs on multi-cloud and hybrid environments, offering elastic scalability, workload management, and built-in support for advanced analytics and machine learning. Its open architecture ensures compatibility with industry-standard tools and formats, reducing vendor lock-in. Ideal for organizations needing a powerful, flexible RDBMS that goes beyond traditional storage to deliver real-time insights and operational intelligence.

Teradata VantageCloud is a cloud-native relational database platform built for enterprise-scale performance and analytics. It supports ANSI SQL and relational data models, enabling complex queries across structured and semi-structured data. VantageCloud runs on multi-cloud and hybrid environments, offering elastic scalability, workload optimization, and integration with open-source tools. Its architecture ensures high availability, strong governance, and compatibility with modern data ecosystems—making it ideal for organizations seeking a powerful RDBMS that combines traditional reliability with advanced analytics and AI capabilities.

SQL Databases Supported

Teradata VantageCloud is a cloud-native SQL database platform built for enterprise-scale analytics and data management. It supports ANSI SQL and delivers high-performance querying across structured and semi-structured data in multi-cloud and hybrid environments. VantageCloud combines traditional RDBMS capabilities with advanced analytics, AI/ML integration, and workload optimization. Its open architecture ensures compatibility with modern data tools and formats, reducing vendor lock-in. Ideal for organizations seeking a scalable, secure, and flexible SQL engine that powers complex analytics and operational intelligence.

Big Data Features

Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Supported
Data Mining Supported
Data Visualization Supported
Data Warehousing Supported
High Volume Processing Supported
No-Code Sandbox Not Supported
Predictive Analytics Supported
Templates Not Supported

Business Intelligence Features

Ad Hoc Reports Not Supported
Benchmarking Not Supported
Budgeting & Forecasting Not Supported
Dashboard Supported
Data Analysis Supported
Key Performance Indicators Supported
Natural Language Generation (NLG) Not Supported
Performance Metrics Supported
Predictive Analytics Supported
Profitability Analysis Supported
Strategic Planning Not Supported
Trend / Problem Indicators Not Supported
Visual Analytics Supported

Data Analysis Features

Data Discovery Supported
Data Visualization Supported
High Volume Processing Supported
Predictive Analytics Supported
Regression Analysis Supported
Sentiment Analysis Supported
Statistical Modeling Supported
Text Analytics Supported

Data Warehouse Features

Ad hoc Query Supported
Analytics Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Supported
ETL - Extract / Transfer / Load Supported
In-Memory Processing Supported
Match & Merge Not Supported

Database Features

Backup and Recovery Not Supported
Creation / Development Not Supported
Data Migration Not Supported
Data Replication Not Supported
Data Search Supported
Data Security Supported
Database Conversion Not Supported
Mobile Access Supported
Monitoring Supported
NOSQL Supported
Performance Analysis Not Supported
Queries Supported
Relational Interface Not Supported
Virtualization Supported

Relational Database Features

ACID Compliance Supported
Data Failure Recovery Supported
Multi-Platform Supported
Referential Integrity Supported
SQL DDL Support Supported
SQL DML Support Supported
System Catalog Supported
Unicode Support Supported

Integrations

AWS Secrets Manager Not Supported
BI Book Not Supported
Capital One Spark Business Banking Supported
Captain Compliance Not Supported
ClearScape Analytics Not Supported
Cohere Not Supported
DbVisualizer Not Supported
Domino Enterprise AI Platform Supported
HEAVY.AI Supported
Hue Not Supported
IBM InfoSphere Data Architect Not Supported
Imperva DDoS Protection Not Supported
Mage Static Data Masking Not Supported
Molecula Not Supported
Nucleon Database Master Not Supported
Querona Not Supported
RazorSQL Not Supported
SAS Studio Not Supported
Syntasa Not Supported
erwin Data Intelligence Not Supported

Integrations

AWS Secrets Manager Supported
BI Book Supported
Capital One Spark Business Banking Not Supported
Captain Compliance Supported
ClearScape Analytics Supported
Cohere Supported
DbVisualizer Supported
Domino Enterprise AI Platform Not Supported
HEAVY.AI Not Supported
Hue Supported
IBM InfoSphere Data Architect Supported
Imperva DDoS Protection Supported
Mage Static Data Masking Supported
Molecula Supported
Nucleon Database Master Supported
Querona Supported
RazorSQL Supported
SAS Studio Supported
Syntasa Supported
erwin Data Intelligence Supported
Claim NVIDIA RAPIDS and update features and information
Claim NVIDIA RAPIDS and update features and information