Sold by: Teradata
Deployed on AWS
Teradata offers the complete cloud analytics and data platform, VantageCloud, which includes the new next-generation, cloud-native architecture of VantageCloud Lake and the expanded capabilities of ClearScape Analytics. Leveraging the same industry-leading analytic capabilities as Teradata Vantage along with the fast and flexible data access provided by cloud-native deployment, the new VanageCloud Lake on AWS brings the power of Vantage to more diverse use cases throughout your organization so you can drive innovation at scale.
4.3
Overview
Many organizations are looking for a flexible, low-cost strategy to modernize their data ecosystems. Teradata VantageCloud Lake on AWS enables users to meet the increasingly diverse analytics and data needs of evolving business, expanding beyond enterprise workloads to meet departmental, exploratory, and ad hoc use cases.
Get started now by contacting your Teradata account team by emailing AWS.Marketplace@Teradata.com . They will help size and price a Vantage system tailored to your specific needs and initiate a Private Offer.
By leveraging a next-generation cloud-native architecture, VantageCloud Lake provides lakehouse deployment patterns with the ability to run independent elastic workloads leveraging an object store-centric design. This means all parts of a business can now run analytics projects at-will, while sharing data in cost effective object storage.
Teradata VantageCloud Lake is everything you already love about Vantage and more:
- Business Autonomy and Self-Service
- Centralized Shared Lake Object Store
- Independent Compute and Storage
- Intelligent Elasticity
- Competitive Unit-Based Pricing
- Corporate-Wide Financial Visibility
- Multi-Cluster Workload Isolation
- ClearScape Analytics
*** Pricing provided applies to US-based deployments only, international pricing provided in custom quote. Please email AWS.Marketplace@teradata.com to initiate a private offer. ***
Highlights
- Innovate Faster: Empower more users than ever before with the autonomy to create and roll out transformative solutions: Flexible cloud-native architecture provides enterprise, department, function, and team level access to dedicated compute resources - maximizing the impact of ClearScape Analytics and powerful analytics capabilities.
- Scale Smarter: Optimize growth with streamlined costs, sustainable practices, and the scope to expand as extensively and efficiently as you need: "Smart" scaling technology offers dynamic resource allocation, proving to be more cost-effective and environmentally sustainable, while the tested and proven capacity means you'll be able to grow the platform right along with your business.
- Govern Better: Maintain oversight through centralized management of data and effective financial governance: Manage sprawl, eliminate overruns, and enable user flexibility without waiting for or impacting core operations. Feel the certainty of better resource transparency and increased cost visibility so you can capture the lowest total cost of ownership
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
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 the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
VantageCloud Lake Unit | Must Purchase in 100 Unit Quantity - Minimum of 36,000 Units Per Year | $2.10 |
Lake Block Storage (TB) | VantageCloud Lake Block Storage (Per Terabyte-Year) | $1,445.00 |
Lake Object Storage (TB) | VantageCloud Lake Object / Std Backup Storage (Per Terabyte-Year) | $276.00 |
Dimension | Cost/unit |
|---|---|
On Demand - Price Per Unit - Must Purchase in 100 Unit Quantity | $3.30 |
VantageCloud Lake Block Storage (Per Terabyte-Month) | $142.00 |
VantageCloud Lake Object / Std Backup Storage (Per Terabyte-Month) | $40.00 |
Dimensions summary
Pricing separates compute from storage. You buy VantageCloud Lake Units to run compute, either as a yearly commitment or on demand. Committed Units require a minimum of 36,000 per year, sold in 100-Unit increments; the On Demand option also sells in 100-Unit blocks. Units are consumed only when compute resources run, so you control spend by scheduling clusters. Storage is billed separately by capacity. Block storage and Object/Standard Backup storage are each priced per terabyte, available in monthly (per Terabyte-Month) or yearly (per Terabyte-Year) rates. You combine compute and storage dimensions to match your workload.
Top-of-mind questions for buyers
No. Compute resources consume Units only while running. You can schedule clusters to turn on and off, so idle clusters do not accrue Unit charges. This lets you match spend to workload peaks and reduce consumption during quiet periods. Storage charges are separate and continue regardless of compute state.
Committed Units must be used within each 12-month term and do not roll over. Unused Units are forfeited at term end. If you keep running compute resources after the committed term ends, further use bills as an on-demand order at the then-current on-demand Unit rate.
Compute Units and storage bill independently and appear together on your invoice. Units cover running compute clusters. Block storage and Object/Standard Backup storage bill separately per terabyte. Which dominates depends on your workload: heavy query activity raises Unit consumption, while large stored data footprints raise storage charges.
www.teradata.com
Helpful?
Vendor refund policy
We do not provide refunds but you may cancel at any time. We recommend speaking to a Teradata representative before you purchase. This will prevent a need for refunds and other changes. Please email AWS.Marketplace@teradata.com for support.
Custom pricing options
Request a private offer to receive a custom quote.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Your subscription to Teradata VantageCloud Lake on AWS comes with Teradata Premier Cloud Support which is available 24x7x365 at 1-877-MY-TDATA (1-877-698-3282). The Management Console (https://console.intellicloud.teradata.com/ ) and the Cloud Service Portal (https://support.teradata.com/ ) are also available 24x7x365 for the submission of incidents, changes, and requests for information. https://support.teradata.com/
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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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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Positive reviews
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AI generated from product descriptions
Cloud-Native Architecture
Next-generation cloud-native architecture enabling lakehouse deployment patterns with object store-centric design for flexible analytics workloads
Elastic Workload Management
Independent elastic workloads with multi-cluster workload isolation and dynamic resource allocation capabilities
Decoupled Compute and Storage
Independent compute and storage infrastructure leveraging centralized shared lake object store for cost-effective data sharing
Workload Isolation and Multi-Tenancy
Multi-cluster workload isolation enabling enterprise, department, function, and team level access to dedicated compute resources
Analytics and Query Engine
ClearScape Analytics with industry-leading analytic capabilities for diverse use cases including enterprise, departmental, exploratory, and ad hoc analytics
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
No
No
No
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.