Teradata Announces VantageCloud Lake for Driving Analytical Innovation at Scale
Teradata has launched VantageCloud Lake, a cloud-native analytics platform designed to enhance performance and lower total cost of ownership for various workloads. This new offering expands Teradata's traditional focus, enabling self-service analytics for broader use cases beyond IT-managed tasks. Built on a flexible architecture, it supports rapid scaling and comprehensive workload management. VantageCloud Lake aims to foster innovation and agility in data-driven decision-making while maintaining strict governance and cost oversight.
- Launch of VantageCloud Lake enhances Teradata's product suite.
- New platform targets a wider customer base and diverse workloads.
- Scalable architecture allows for rapid adaptation to changing business needs.
- Comprehensive workload management ensures cost control and financial visibility.
- None.
Based on an entirely new cloud-native architecture,
Teradata (NYSE:
This enables an expanded set of customers and workloads beyond what Teradata is traditionally known for: rather than focusing mainly on information technology (IT)-managed enterprise workloads,
Customers can choose from either edition –
“Teradata VantageCloud Lake is the result of a multi-year journey to create a new paradigm for data and analytics – one where superior performance, agility, and value all go hand-in-hand,” said
Companies today are using Teradata to run business critical workloads with strict service level agreements (SLAs) to meet core business needs, such as an airline having a reservation system up and running 24/7. As such, these workloads are highly governed by IT and sheltered from potential interference. The result is that establishing new projects, like a mobile customer engagement application, can be very difficult to get started - especially new analytics projects that can consume unpredictable resources and put SLAs at risk. Departmental workloads and exploratory data science projects are often delayed or rejected, as enterprise workloads are prioritized. These new projects then drive the adoption of shadow systems on alternate technologies, but as these shadow systems proliferate, so do the costs and governance challenges for the organization.
With the introduction of
Underpinning each of these offerings is Teradata’s industry-leading analytics capabilities, significantly expanded and re-launched today as ClearScape Analytics: which is designed to offer powerful, open, and connected analytics providing autonomy and ease of access to deliver real-time insights and optimize business results.
Teradata VantageCloud Lake Details
Built on entirely new, cloud-native architecture – a first from Teradata –
With
- Launch new projects across departments leveraging core data
- Align compute resources across the platform, maintaining overall governance and cost control
- Eliminate the need for “shadow IT” systems by fulfilling the needs of exploratory projects and ad hoc requests
Smart Scaling
Unlike other cloud-native services that are spun up and then quicky overrun with cloud consumption costs,
Teradata has been long recognized for its superior workload management, ensuring that independent compute clusters only automatically scale when necessary, based on actual consumption of system resources (rather than simply based on query or user counts).
If the size of the project or the numbers of projects grow,
Teradata worked with AWS to support Amazon Elastic Compute Cloud (Amazon EC2),
“We’re excited to work with Teradata on the initial launch for
Other Key Capabilities
With
-
Modernize:
- Clear separation of compute and storage: Compute instances can be dynamically and automatically added, increased or reduced, to meet changes in demand.
- Multi-Cluster compute: Multiple scalable “compute clusters” can all access the same shared object storage, enabling isolated workloads.
- Elasticity: Add or delete compute cluster instances and storage in just minutes.
- Auto-scaling: Control the automatic scale-out of more compute instances when surge workloads impact the system and set policies to reduce unintended costs.
-
Analytics:
- Analytics capabilities: ClearScape Analytics is designed to provide end-to-end support for advanced analytics across the cloud ecosystem.
- Open data sharing: By sharing managed and unmanaged low-cost object storage, customers can save time and money, even when using different applications.
- Data fabric: QueryGrid connects data systems intelligently by leveraging the engine of each system in concert to minimize the movement of data.
-
Management:
- Workload management: Isolating workloads into clusters provides an architectural approach to manage workloads independently.
- Resiliency/Availability: The new architecture is designed to reduce the effects and minimize the impacts of hardware or software failures, increasing system-wide availability.
- Vantage Console: This modern user interface can execute all tasks from a central location, providing intuitive navigation for user self-service.
-
Flexibility:
- Rolling upgrades: Software upgrades are completed without customer intervention, with no downtime.
- Multi-tiered data storage: Leverage a variety of cost-effective storage options.
- Budget oversight: Decentralize cloud provisioning and billing so that costs can be immediately associated to each department to optimize governance and management of cloud spending.
Availability
Teradata VantageCloud Lake Edition is available now and runs on AWS. It will be available on all major cloud service providers in early 2023.
Note to Investors
This release contains forward-looking statements within the meaning of Section 21E of the Securities and Exchange Act of 1934. Forward-looking statements generally relate to opinions, beliefs, and projections of expected future financial and operating performance, business trends, liquidity, and market conditions, among other things. These forward-looking statements are based upon current expectations and assumptions and often can be identified by words such as “expect,” “strive,” “looking ahead,” “outlook,” “guidance,” “forecast,” “anticipate,” “continue,” “plan,” “estimate,” “believe,” “will,” “would,” “likely,” “intend,” “potential,” “designed,” “can,” or similar expressions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially, including those relating to: the rapidly changing and intensely competitive nature of the information technology industry and the data analytics business; the timely and successful development, production, availability, market acceptance, and/or performance of new and existing products, product features and services, including
About Teradata
Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. Learn more at Teradata.com.
The Teradata logo is a trademark, and Teradata is a registered trademark of
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INVESTOR CONTACT
858-485-2523 office
christopher.lee@teradata.com
MEDIA CONTACT
858-485-3029 office
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