Sold by: Teradata
Deployed on AWS
VantageCloud is the connected multi-cloud data platform for enterprise analytics. Includes Native Object Store (NOS) Read/Write, VantageCloud Analytics Library, 4D analytics, nPath, sessionization, attribution, scoring, and more. Workload management features Teradata Active System Management (TASM).
4.3
Overview
VantageCloud is the connected multi-cloud data platform for enterprise analytics. Includes Native Object Store (NOS) Read/Write, VantageCloud Analytics Library, 4D analytics, nPath, sessionization, attribution, scoring, and more. Workload management features Teradata Active System Management (TASM). VantageCloud provides the fastest path to scalable, high-performance analytics to tackle complex business challenges. Offers full integration with preferred tools and languages (SQL, Python, R) and data sources (object stores, HDFS, more). This do-it-yourself (DIY) software subscription includes security and performance improvements over previous versions. Enterprise tier includes TASM, Teradata's highly regarded workload management. Software consistency across deployments means quick, low-risk migration. Integration with Amazon S3 enables direct querying of object store data. Analytic and data warehouse use cases include production operational analytics, test and development, quality assurance, disaster recovery, sandbox / data lab, and discovery. Your subscription includes Teradata Premier Cloud Support and rights to use Teradata Data Stream Controller; Teradata Ecosystem Manager; Teradata Query Service; Teradata Server Management; and Teradata Viewpoint. See product documentation on the Teradata website for details. Get started now by clicking on "Continue to Subscribe". NOTE: This AMI uses a 350 GB EBS volume for root disk; Teradata QueryGrid connectivity is licensed separately.
Highlights
- Flagship software tier with TASM, Teradata Active System Management, and Native Object Store (NOS). Operationalize insights and enable descriptive, diagnostic, predictive, and prescription analytics.
- Includes embedded analytic functions such as NOS Read/Write, VantageCloud Analytics Library, 4D analytics, nPath, sessionization, attribution, and scoring. Teradata Premier Cloud Support included.
- Teradata Active System Management (TASM) provides mixed workload management with ability to simultaneously handle strategic and tactical queries and assign priorities based on business requirements.
Details
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Delivery option
Teradata Cloud Standard CFT - AWS Managed Keys
Teradata Cloud Custom CFT – Customer Managed Keys
Teradata Vantage local/EBS storage - existing VPC
Latest version
Operating system
OtherLinux SLES 15 SP7
Deployed on AWS
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
d2.xlarge | $1.047 |
m5.4xlarge | $6.457 |
m5.12xlarge | $16.383 |
m5.24xlarge | $32.788 |
t3.medium | $0.00 |
r5.12xlarge | $16.383 |
r5.16xlarge | $22.436 |
r5.24xlarge | $32.788 |
r5.4xlarge | $6.457 |
r5.8xlarge | $11.207 |
Dimensions summary
You pay by the hour for the Amazon EC2 instance size you run. This is a do-it-yourself deployment, so pricing scales with the compute capacity you choose. The options cover several instance families: burstable (t3.medium), general-purpose (m5), dense-storage (d2), and memory-optimized (r5, r6i, r6id). Within each family, sizes range from smaller configurations up to 24xlarge, giving more CPU and memory as the size increases. You select instances to match your workload, and hours accrue only while an instance runs. No commitment term applies; billing follows actual usage.
Top-of-mind questions for buyers
Each hourly unit maps to one running Amazon EC2 instance of the size you select. You are billed for every hour that instance runs. If you run several instances at once, each accrues its own hourly charge. Instance size sets the CPU and memory you get per hour.
Software charges accrue only while an instance runs. A stopped or paused instance stops the hourly software meter. Underlying AWS storage or other resource fees may still apply while an instance is stopped, but the Teradata software meter counts running hours only.
You choose the instance size that fits your workload and switch to a different size as needs change. Larger sizes within a family add CPU and memory, raising the hourly rate. There is no commitment, so you can move between sizes and pay only for hours used.
www.teradata.com
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Vendor refund policy
We do not provide refunds but you may cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Teradata Cloud Standard CFT - AWS Managed Keys
Teradata VantageCloud multi-node system with local storage SSD/HDD or EBS as data storage and deployed in an existing VPC and AWS Managed KMS Keys.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
Teradata VantageCloud DIY 3.4 Release (AWS)
Teradata VantageCloud DIY 3.4 introduces new capabilities that make it easier to work with modern lakehouse architectures, accelerate AI initiatives, and expand infrastructure flexibility across AWS.
What's New Vector Store (SQL Interface)
- Build semantic search, RAG, and AI applications using vectors stored and managed through SQL.
- Keep enterprise data governed and closer to where AI workloads run.
Open Table Format (OTF) Enhancements
- Native support for Unity Catalog RBAC.
- Direct access to Microsoft Fabric OneLake data.
- Faster Delta table reads.
- High-performance Apache Iceberg writes.
- Support for Iceberg 3.0 deletion vectors.
Platform Enhancements
- New VM options for improved OTF performance and deployment flexibility.
- AWS support for Graviton (ARM-based) infrastructure for improved price-performance (Teradata Cloud DIY Sovereign).
Pricing Update
- ARM-based VM families use a different pricing metric called Unit Pricing instead of TCore Pricing.
IMPORTANT NOTICE Analytics Database 17.20 will reach End of Life (EoL) on June 30, 2027. Until then, only critical bug fixes will be delivered through maintenance releases. Customers using version 17.20 are strongly encouraged to upgrade to a 20.xx release. If an immediate upgrade is not possible, customers must:
- Have a documented upgrade plan reviewed with the Teradata Global Change Control team, or
- Obtain an approved exception.
For guidance, contact Teradata Support or your Teradata Account Team. Starting in Q3 2026, Version 17.20 will not be be available for new deployments via the Marketplace. Customers planning new deployments should select a newer supported version (20.xx).
Additional details
Usage instructions
This product is designed to work with other Teradata software products.
- Use CloudFormation template to launch a multi-node Teradata Vantage system.
- System will be up and running after stack launch is complete.
- Verify system state: a) ssh into the one of the instances: ssh -i <private key file> ec2-user@<instance DNS name or IP address> b) Validate the system is up and running: sudo psh pdestate -a The output of the command will be similar to: all N nodes: PDE state is RUN/STARTED. DBS state is 5: Logons are enabled - The system is quiescent
For more information, visit our Product Documentation listed at https://www.teradata.com/Products/Cloud/Do-it-yourself/AWS .
Resources
Support
Vendor support
Teradata Premier Cloud Support is bundled with your paid software subscription. It provides 24x7 incident creation for problem resolutions, coverage and response times by customer-defined severity levels, and entitlement to software updates. Note: For customers who want to buy Teradata Ecosystem applications such as Data Stream Controller, Query Service, Query Grid Manager and Server Management, please contact Teradata Account team and refer to https://www.teradata.com/Cloud/AWS/Do-it-Yourself
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Native Object Store Capabilities
Native Object Store (NOS) Read/Write functionality enabling direct querying of object store data including Amazon S3 integration
Advanced Analytics Functions
Embedded analytic functions including 4D analytics, nPath, sessionization, attribution, and scoring capabilities
Workload Management System
Teradata Active System Management (TASM) providing mixed workload management with priority assignment based on business requirements
Multi-Language and Tool Integration
Full integration with SQL, Python, R programming languages and data sources including object stores and HDFS
Analytics Library
VantageCloud Analytics Library providing descriptive, diagnostic, predictive, and prescriptive analytics capabilities
Lakehouse Architecture
Unified data foundation built on lakehouse architecture providing open, unified foundation for data and governance with support for open standards and formats
Data Intelligence Engine
Powered by Data Intelligence Engine that enables organization-wide access to data and insights across all users and roles
Multi-Workload Unification
Consolidates data engineering, analytics, business intelligence, data science and machine learning workloads on a single common platform
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability across data ecosystem
Collaborative Capabilities
Native collaboration features enabling unified data teams to collaborate across entire data and AI workflow
Workload Auto-scaling
Intelligently autoscales workloads up and down across hybrid and public cloud environments for optimized cloud infrastructure utilization.
Multi-function Analytics Platform
Provides integrated data warehouse, machine learning, and custom analytics capabilities with unified analytic functions to eliminate data silos.
Shared Data Experience (SDX)
Implements security and governance policies that are set once and applied consistently across all data and workloads, with portability across supported infrastructures.
Data Lifecycle Management
Manages complete data lifecycle functions including ingestion, transformation, querying, optimization, and predictive analytics across multiple cloud environments.
Unified Security and Governance
Ensures all workloads share common security, governance, and metadata with capabilities for data discovery, curation, and self-service access controls.
Standard contract
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Customer reviews
Arpit S.
Secure, Flexible Analytics Platform for SQL, ML, AI, and Geospatial
Reviewed on May 15, 2026
Review provided by G2
What do you like best about the product?
It supports various analytic types (SQL, ML, AI , geospatial) on a single platform. And it has deployment flexibility. One other thing I like is that it is secure.
What do you dislike about the product?
It is expensive as compared to other competitors. It is a bit complex and challenging for new users, not much user friendly. The user interface is very outdated.
What problems is the product solving and how is that benefiting you?
As a business analyst I use it to run SQL queries to extract insights from huge datasets. I also use it in building reports and dashboards. It also helps me to analyse customer behaviour, sales trends, or operational performance.
Balkishan N.
Strong Performance for Enterprise Data Warehousing
Reviewed on May 15, 2026
Review provided by G2
What do you like best about the product?
Teradata Vantage offers efficient distributed query processing, strong parallel performance, and reliable handling of large enterprise datasets across hybrid cloud environments.
What do you dislike about the product?
Initial setup, administration, and optimization can be complex, and troubleshooting sometimes requires deep platform expertise. Some workflows also feel less flexible compared to newer cloud-native analytics platforms.
What problems is the product solving and how is that benefiting you?
Teradata Vantage solves large-scale data warehousing and analytics challenges by providing high-performance parallel processing, centralized data management, and scalable analytics capabilities across hybrid environments. This improves query performance, operational efficiency, and business insights.
Lucky G.
Efficient for Large Data, Needs UX Improvements
Reviewed on May 14, 2026
Review provided by G2
What do you like best about the product?
I like Teradata Vantage's ability to handle very large datasets efficiently without major performance issues. It processes complex queries quickly, making reporting and analysis much more reliable and efficient. We also use it with reporting tools like Power BI and integrate it with our cloud storage, which has been quite useful.
What do you dislike about the product?
I believe one area could be the overall UX and ease of use as it can be difficult for new users. Specific aspects would be query optimization, navigation and understanding how different tools work together. The UX is not as intuitive.
What problems is the product solving and how is that benefiting you?
I use Teradata Vantage for data warehousing and analytics. It handles very large datasets efficiently and processes complex queries quickly, making reporting and analysis reliable and efficient.
Abhinav T.
Centralized Data Source, Handles Workloads Well but Rough Learning Curve
Reviewed on May 13, 2026
Review provided by G2
What do you like best about the product?
I like that Teradata Vantage solves the concurrent problem well. We have a lot of people using it simultaneously, with analysts running ad-hoc queries, dashboards refreshing, and ETL jobs running in the background. The workload management handles all of that without things falling over. It also provides one place where all our data lives, which has helped a lot with everyone having a 'single source of truth.'
What do you dislike about the product?
Learning curve is rough. Like, if you are new to Teradata you are gonna write queries that run forever and you won't know why, and then someone senior is gonna look at it and go 'your primary index is wrong' or 'you've got skew'. Also, the tools feel old.
What problems is the product solving and how is that benefiting you?
Teradata Vantage centralizes our data, providing one source of truth and streamlining decision-making. It also efficiently manages concurrent workloads, accommodating many users and processes simultaneously without issues.
Aditya A.
Unifies Legacy and New Data Streams Seamlessly
Reviewed on May 13, 2026
Review provided by G2
What do you like best about the product?
The advantage we get is that we have multiple systems or DB's which are legacy and some are new. Vantage helps us unify all their data stream into one
What do you dislike about the product?
Some legacy softwares are incomaptible with Vantage. This causes some issues with us either mnaually adding this data in our pipeline or using a mapper function
What problems is the product solving and how is that benefiting you?
As mentioned earlier since our org is little old we have multiple DB's from older generations and/or legacy systems which we are still utilizing. Vantage is helping us unify their data stream into one along with pulling in streams from newer systems.