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    Teradata Vantage Advanced (DIY)

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    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 Integrated Workload Management (TIWM)
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    Overview

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    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

    • Premier software tier with TIWM, Teradata Integrated Workload Management. 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 Integrated Workload Management (TIWM) provides mixed workload management with ability to simultaneously handle strategic and tactical queries.

    Details

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    Delivery method

    Delivery option
    Teradata Vantage local/EBS storage - existing VPC

    Latest version

    Operating system
    OtherLinux SLES 12 SP3

    Deployed on AWS
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    Pricing

    Teradata Vantage Advanced (DIY)

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    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.

    Usage costs (16)

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    Dimension
    Cost/hour
    r6id.12xlarge
    $16.36
    r5.16xlarge
    $16.83
    r6i.8xlarge
    $9.91
    r6i.16xlarge
    $19.82
    m5.4xlarge
    $4.843
    r5.24xlarge
    $24.58
    r5.8xlarge
    $8.41
    m5.24xlarge
    $24.592
    m5.12xlarge
    $12.288
    r5.12xlarge
    $12.28

    Vendor refund policy

    We do not provide refunds but you may cancel at any time.

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    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.

    Usage information

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    Delivery details

    Teradata Vantage local/EBS storage - existing VPC

    Teradata Vantage multi-node system with local storage SSD/HDD or EBS as data storage and deployed in an existing VPC.

    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

    DIY AWS Q2 RELEASE 2026 RELEASE SUMMARY 17.20.03.37 - Bug fix in CFT template

    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 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.

    1. Use CloudFormation template to launch a multi-node Teradata Vantage system.
    2. System will be up and running after stack launch is complete.
    3. 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 .

    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.

    Product comparison

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    Accolades

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    Top
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    In Big Data, Business Intelligence
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    In Databases & Analytics Platforms, ML Solutions, Data Analytics
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    10
    In Data Analysis

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

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    AI generated from product descriptions
    Native Object Store Integration
    Native Object Store (NOS) Read/Write capability enabling direct querying of object store data with integration to Amazon S3
    Workload Management
    Teradata Integrated Workload Management (TIWM) for mixed workload management with simultaneous handling of strategic and tactical queries
    Advanced Analytics Functions
    Embedded analytic functions including 4D analytics, nPath, sessionization, attribution, and scoring capabilities
    Multi-Language Support
    Full integration with SQL, Python, and R programming languages for analytics and data processing
    Analytics Library
    VantageCloud Analytics Library providing descriptive, diagnostic, predictive, and prescriptive analytics functions
    Lakehouse Architecture
    Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
    Open Source Integration
    Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
    Data Intelligence Engine
    Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
    Unified Data Platform
    Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
    Collaborative Capabilities
    Provides native collaboration features enabling data teams to work together across the 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.

    Contract

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    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.3
    375 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    57%
    38%
    5%
    1%
    0%
    6 AWS reviews
    |
    369 external reviews
    External reviews are from G2  and PeerSpot .
    Muzammil M.

    Teradata Vantage Fast Query Performance and Strong Analytics for Big Data

    Reviewed on May 15, 2026
    Review provided by G2
    What do you like best about the product?
    I have been learning Teradata Vantage for the last few months, and my experience has been good so far. One thing that stands out is its ability to handle large amounts of data with good performance and faster query processing. While practicing, I found it useful for analytics and reporting tasks, especially when working with structured data. I also liked that it supports integration with different tools, which makes data management and workflows more convenient.
    What do you dislike about the product?
    Since I am still learning Teradata Vantage from the past few months, one challenge I faced was that the platform can feel a little complex for beginners at first. Some features and setup steps take time to understand properly, especially for users who are new to data analytics tools. I feel Teradata could improve the beginner learning experience by adding more simple tutorials, realworld examples, and guided walkthroughs inside the platform. This would help new users start more confidently and learn faster.
    What problems is the product solving and how is that benefiting you?
    I recently started learning and using Teradata Vantage, mainly to understand how large-scale data management and analytics platforms work in real business environments. Before this, handling and analyzing large datasets felt difficult and unorganized, especially when data comes from different sources. While learning, I faced some challenges understanding the platform’s advanced features and workflow, but with practice it became easier to see how powerful it is for data analytics and reporting. One benefit I noticed is that Teradata Vantage helps process large amounts of data more efficiently and supports faster query performance, which can save time for businesses. It also allows companies to manage analytics, reporting, and integrations in one platform, making decision-making easier. For learners like me, it is helping build practical knowledge in data analytics and enterprise-level database systems, which can be useful for future career opportunities. I think buyers choose Teradata Vantage because businesses today depend heavily on data, and platforms like this help them analyze information faster and more accurately. As AI, cloud technology, and data-driven decision making continue growing, tools like Teradata Vantage can become even more valuable for companies looking to scale and manage data efficiently.
    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.
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