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    Teradata Vantage Base (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. Base tier boasts exceptional economics via a system concurrency limit of 15.

    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. Base tier boasts exceptional economics via a system concurrency limit of 15. 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. 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

    • Powerful software tier boasting exceptional economics via a system concurrency limit of 15. Operationalize insights and enable descriptive, diagnostic, predictive, and prescription analytics.
    • Includes Native Object Store (NOS) Read/Write, Vantage Analytics Library, 4D analytics, nPath, sessionization, attribution, scoring, and more. Teradata Premier Cloud Support included.
    • Integration with Amazon S3 includes direct backup and restore and, optionally, direct querying of data in S3.

    Details

    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 Base (DIY)

     Info
    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 (15)

     Info
    Dimension
    Cost/hour
    t3.medium
    $0.16
    d2.xlarge
    $0.393
    r6i.12xlarge
    $7.43
    r5.4xlarge
    $2.42
    r5.12xlarge
    $6.14
    r6i.24xlarge
    $14.87
    r6i.4xlarge
    $2.48
    m5.24xlarge
    $12.297
    m5.12xlarge
    $6.144
    r6i.16xlarge
    $9.91

    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

     Info

    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 Q3 2025 Release - Node.js Runtime Upgraded to 22.x

    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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    Updated weekly

    Accolades

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    Top
    10
    In Business Intelligence
    Top
    10
    In Databases & Analytics Platforms, ML Solutions, Data Analytics
    Top
    10
    In Data Warehouses, Databases, Analytic Platforms

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Multi-Cloud Data Platform
    Connected multi-cloud data platform supporting enterprise analytics with comprehensive integration capabilities
    Advanced Analytics Library
    Includes VantageCloud Analytics Library with 4D analytics, nPath, sessionization, attribution, and scoring capabilities
    Native Object Store Integration
    Native Object Store (NOS) Read/Write functionality with direct integration and querying of Amazon S3 data sources
    Language and Tool Compatibility
    Full integration with SQL, Python, R programming languages and multiple data source ecosystems
    Performance Optimization
    System concurrency management with support for production operational analytics, test and development, quality assurance, and disaster recovery scenarios
    Data Platform Architecture
    Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
    Open Source Foundation
    Built on open source data projects with support for open standards and data formats
    Lakehouse Infrastructure
    Provides a common data management approach using a lakehouse architecture running on Amazon S3
    Data Intelligence Engine
    Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
    Collaborative Workflow
    Native collaboration capabilities enabling cross-functional data and AI workflow integration
    Column-Oriented Database Architecture
    Specialized database management system optimized for online analytical processing (OLAP) with high-performance query capabilities
    Data Processing Performance
    Capable of processing billions of rows and tens of gigabytes of data per second with high-speed analytical capabilities
    Multi-Zone Replication
    Automatic service replication across multiple availability zones ensuring enhanced system reliability and fault tolerance
    Cloud-Native Scaling
    Dynamic and automatic scaling mechanism that adjusts to variable workloads without manual over-provisioning
    Ecosystem Integration
    Supports diverse data connectors, visualization tools, SQL clients, and language integrations for flexible data management

    Security credentials

     Info
    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    No security profile
    -
    -
    -

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    1 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    100%
    0%
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    1 AWS reviews
    |
    329 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Kirk Robinson

    Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

    Reviewed on Sep 30, 2025
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Teradata  involves data analytics, data mapping, and data process improvement.

    I use Teradata  for our in-in processes such as revenue reporting. We have utilized it for procurement to pay and analyzed all the data points from procure to settlements to payments, ensuring that the right data has been sent, checking the data status, and guaranteeing the cleanliness and quality of the data.

    We are using Teradata for generative AI related to data mapping, data content, and data distribution.

    What is most valuable?

    The best features that Teradata offers include the security around the data, which has been a key issue for us. Teradata locks down the data, providing us with a quality of data we can trust when sending it to external portals and third-party tools such as Salesforce .

    Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition. Additionally, we rely on it due to our HIPAA requirements.

    The analytics features and the dashboards in Teradata have been extremely helpful for us.

    Teradata has positively impacted our organization by allowing our team to reduce from 27 people down to eight, consolidating our headcount. It has resulted in better performance improvement within our team as we now cover nine business units instead of 18, thanks to the data performance, which has increased data visibility and helped the enterprise achieve a higher rate of internal return on financials.

    We have observed a lesser level of churn with our customers; we have been able to maintain more customer relationships because we have access to more data and analytics, allowing us to predict customer needs anywhere from three to nine months ahead of time.

    What needs improvement?

    The limitation we encountered was related to speed, prompting us to increase our AWS  cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues.

    The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic.

    I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

    For how long have I used the solution?

    I have been using Teradata for 12 years.

    What do I think about the stability of the solution?

    Teradata is stable.

    What do I think about the scalability of the solution?

    Teradata's scalability is great; it's been awesome.

    How are customer service and support?

    The customer support for Teradata has been great.

    I would rate the customer support a nine on a scale of 1 to 10.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I previously used Oracle Data Store, but we switched due to problems with integration, speed to market, talent, and security issues.

    What was our ROI?

    We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%. Our target is a 30% internal rate of return. Overall, our performance improvement and KPIs have increased by about 22%, but we are aiming for another 17% to capture in synergy dollars.

    What's my experience with pricing, setup cost, and licensing?

    Our experience with pricing included a staged pricing model based on units and servers, the cost per subscription, and the data usage, which involved about five different points in our pricing model. We spent roughly $295,000 on setup costs, and we have a five-year license.

    Which other solutions did I evaluate?

    Before choosing Teradata, we evaluated several options, including Snowflake , Teradata, Oracle Data Store, SAP MDM , and two other products whose names I don't remember.

    What other advice do I have?

    My advice for others looking into using Teradata is to conduct co-pilot type projects first; I recommend executing use case projects to truly see the value and understand how much it helps.

    We are just a customer and do not have any other business relationship with this vendor.

    On a scale of one to ten, I rate Teradata a nine.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Hospital & Health Care

    Teradata vantage review

    Reviewed on Sep 25, 2025
    Review provided by G2
    What do you like best about the product?
    the support team are responsive and they do what they can to help.
    What do you dislike about the product?
    when we need to improve performance on a complex query
    What problems is the product solving and how is that benefiting you?
    we use it to host our data wherehouse
    Banking

    Ventajas de utilizar Teradata Vantage

    Reviewed on Aug 29, 2025
    Review provided by G2
    What do you like best about the product?
    LA posibilidad de entrenar modelos in database
    What do you dislike about the product?
    no dispone de todas las librerias ML - es algo limitada
    What problems is the product solving and how is that benefiting you?
    Integrcion de datos del negocio, evitar silos de informacion
    Banking

    Scalable, reliable, and Optimised for Complex Workloads

    Reviewed on Aug 11, 2025
    Review provided by G2
    What do you like best about the product?
    High Performance Query execution, Scalable Data Integration, Advanced Analytics and reporting
    What do you dislike about the product?
    User interface, Cost Optimisation is required, Integration with Emerging Technologies
    What problems is the product solving and how is that benefiting you?
    Handles Large Scale data queries with excellent speed and reliability, even for complex joins across billions of rows. Efficiently process and integrates data from multiple source systems, maintaining consistency and accuracy
    Financial Services

    Teradata Vantage Review

    Reviewed on Aug 08, 2025
    Review provided by G2
    What do you like best about the product?
    1. Operational Efficiency Gains – By consolidating multiple legacy data systems into Teradata Vantage, the bank could significantly reduce IT maintenance costs, streamline data management, and cut down on duplicate reporting processes. This may result in millions in annual savings on infrastructure and staffing resources.
    What do you dislike about the product?
    2. Specialised Skills Requirement – Staff may require specific training, leading to temporary productivity dips during the adoption phase.
    What problems is the product solving and how is that benefiting you?
    4. Improved Customer Insights – By leveraging integrated customer data, the bank can design more targeted marketing campaigns, increasing product cross-sell and customer retention, boosting revenue per customer.
    View all reviews