Amazon Web Services
Use AWS infrastructure on Teradata Vantage, or use the cloud-native deployment of Teradata VantageCloud Lake.
Proven cloud capabilities built and priced to scale
Teradata VantageCloud delivers a modern cloud-native architecture as well as hybrid and multi-cloud deployment options, unifying analytics, data lakes, and data warehouses.
For those already in the cloud, Teradata Vantage can flexibly scale to meet the challenge of growth—and pay-as-you-go offers maximum flexibility. For those seeking new cloud-native deployments, Teradata VantageCloud Lake delivers industry-leading analytics and the fast, secure, and flexible data access you need.
Whether an organization is migrating to the cloud, has a hybrid infrastructure, or seeks to drive innovation with cloud-native deployment, Teradata empowers you to turn cloud analytics and data into answers.
Amazon Web Services
Use AWS infrastructure on Teradata Vantage, or use the cloud-native deployment of Teradata VantageCloud Lake.
Microsoft Azure
Combine Azure resources with Teradata Vantage, including VantageCloud.
Google Cloud
Leverage Google Cloud with Teradata Vantage, including TeradataVantageCloud.
It’s a fact: in an enterprise-level business, the cloud isn’t optional—the cloud IS business. Information technology is being reshaped to take advantage of new standards of speed, storage, and limitless scale. With the cloud offering greater flexibility, massive (and low-cost) storage, more expansive service capabilities, it’s easy to understand the cloud’s rapid growth.
VantageCloud, featuring VantageCloud Lake and VantageCloud Enterprise, offers cloud agility for innovative businesses, the reliability companies need for managing day-to-day enterprise data, and the smart scaling abilities needed for growth – all at the lowest total cost of ownership.
Budget-friendly
Cloud deployment eliminates the need to buy expensive infrastructure and offers consumption (pay-as-you-go) pricing that provides greater cost control.
Enterprise-Ready
Technology available for data cloud solutions evolved quickly and is now enterprise-ready, capable of supporting production workloads. VantageCloud Enterprise offers ClearScape Analytics, our newly named and significantly expanded capabilities.
Native Object Store
Enables customers to easily connect to and analyze data within low-cost object stores such as Amazon S3, Azure Blob, ADLS Gen2, and Google Cloud Storage.
Faster Time-to-Value
Procuring, deploying, and provisioning IT infrastructure is a time-consuming process – but cloud solutions can literally cut months into minutes.
Agility, Flexibility
Fast provisioning, elastic computing power, and massively scalable storage provide a level of freedom not often found in traditional solutions.
Subscription Model
Teradata offers many data cloud services in a cash-flow, friendly subscription model, providing the same Vantage software across all deployment options.
Check out this self-paced interactive tour to get a closer look at Vantage in the cloud and see how a modern cloud architecture delivers the flexibility and agility that help future-proof your business.
More and more analytic ecosystems are making their way into the cloud. Scenarios where the elasticity provided by cloud deployment is quite advantageous include test and development systems as well as data labs, such as those provided by Teradata VantageCloud Lake.
In many organizations, the capacity of test and development systems is often under-utilized - but when activity picks up, capacity can be undersized. This paradox can be addressed with cloud deployment like that found in Teradata VantageCloud. The flexibility to allocate exactly the resources needed for testing and/or development, then turn around and de-allocate just as quickly is very powerful. An added advantage for test and development is the ability to use the latest versions of software for feature exploitation and/or validation before the software is ready to be deployed in a highly governed on-premises environment.
In data lab deployment, cloud implementation, such as that found in VantageCloud Lake has two big advantages. First, scalability in cloud provides the perfect working model for users who cannot necessarily anticipate resources needed for working with the next new data set or algorithm. The second advantage of cloud deployment for data science work is agility. Internal process and timeframes for bringing in a new piece of software on-premises can slow down data discovery. In a cloud data lab environment, the desired tools are more easily accessible, even without going through a maze of IT governance and standards committees.
Teradata VantageCloud: the complete cloud analytics and data platform.