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.
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
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 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.
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
Am I charged Units when my compute clusters are turned off?
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.
What happens if I don't use all my committed Units during the term?
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.
How do the compute Unit and storage dimensions combine on my bill?
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
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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.
Request a private offer to receive a custom quote.
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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.
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
Collaborative Development Environment
Native collaboration capabilities enabling data teams to collaborate across entire data and AI workflow
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability with existing data ecosystems
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.
Teradata Delivers Fast, Scalable Analytics and AI in One Platform
Reviewed on May 18, 2026
Review provided by G2
What do you like best about the product?
Teradata provides the visibility and scalability to handle massive volumes of data, delivering very fast query performance. I also like that it supports both traditional analytics and modern AI workloads within a single platform.
What do you dislike about the product?
It becomes very expensive when data volume and computer usage grow and particularly for organisations with heavy analytics workloads. The UI is also not very intuitive as per newer BI Analytics Tools
What problems is the product solving and how is that benefiting you?
It is improving our work efficiency by helping us to making decisions, speed, data silos and allowing analysts to ruk complex queries more efficiently.
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.