Teradata Announces ClearScape Analytics: The Most Powerful, Open, and Connected Cloud Analytics Available in the Industry (2023)

ClearScape Analytics operationalizes AI/ML at scale with the most robust in-database functionality of any analytics offering today to solve organizations’ most complex problems

ClearScape Analytics which encompasses the same high-performing analytics that Teradata is known for but with 50+ new analytic functions is available as part of Teradata VantageCloud and the new Teradata VantageCloud Lake, also launched today

SAN DIEGO--(BUSINESS WIRE)--Teradata (NYSE: TDC) today announced ClearScape Analytics, the significantly expanded and newly named analytics capabilities that span the entire suite of Vantage products. Teradata Vantage’s industry-leading analytics have long been the cornerstone of the platform’s appeal to enterprise customers for its ability to accelerate data insights and time to value. With these new capabilities, Vantage customers can now take advantage of the most in-database analytic functions anywhere in the market and critical artificial intelligence/machine learning (AI/ML) model management tools (i.e., ModelOps) to meet the growing analytic demands of their organizations.

These newly released features elevate Teradata’s analytics capabilities even further beyond competitors by introducing more than 50 new in-database time series and ML functions, and integrated ModelOps that are designed to rapidly operationalize AI/ML initiatives. This new functionality – in combination with the launch of Teradata VantageCloud Lake, Teradata's first product based on all-new, next-generation cloud-native architecture, also announced today – is intended to provide customers the ability to activate massive amounts of data and solve complex business challenges with a robust library of open and connected analytics tools designed to provide autonomy, ease of access, and real-time insights.

(Video) TechBytes: ClearScape Analytics ModelOps

“Data is only as valuable as its ability to be synthesized for actionable, real-world insights that drive better outcomes,” said Hillary Ashton, Chief Product Officer at Teradata. “Over its 40+ year history, Teradata has been laser-focused on helping customers extract the most value from their data with consistently high performance, unmatched scalability, and a trove of analytic functionality. With the launch of Teradata VantageCloud Lake and the availability of ClearScape Analytics across the VantageCloud platform, Teradata is continuing its tradition of listening to its customers and helping them accelerate their digital transformations by providing a data platform that is born in the cloud with end-to-end support for advanced analytics across the cloud ecosystem.”

ClearScape Analytics’ new in-database time series functions span the entire analytics lifecycle, from data transformation and statistical hypothesis tests, to feature engineering and machine learning modeling. Because these functions are built into the database, they are highly performant and require limited data movement. This can represent significant cost and friction reduction, particularly when an organization wants to apply time-series analytics on large volumes of data such as millions of products or billions of sensors. When the results of these analytic functions, such as forecasts, are stored inside the database, organizations can easily integrate that with other data. For example, a manufacturer could integrate a sensor anomaly detection score with the location of a machine and find out the location of a predicted failure, or a global retailer could integrate forecast results with price to predict revenue.

Additionally, with ClearScape Analytics, complex machine learning functions can be easily integrated into analytic pipelines a collection of related operations that go from data preparation all the way through modeling and deployment but packaged together to address specific problems. For example, a classification pipeline can be tweaked and tuned specifically for fraud detection that might go into a financial application, or a time series pipeline might be used for demand forecasting in a retail or manufacturing scenario. And with ModelOps embedded into ClearScape Analytics, organizations will be able to quickly scale AI/ML initiatives to unlock the full value of their investment while mitigating risk. ModelOps plays a key role in model governance and risk management, which will become increasingly important as companies send more models into production.

“Teradata’s comprehensive analytics offering has long helped organizations make the most use of their data, regardless of where it sits within an organization,” said Dan Vesset, Group VP, analytics and information management market research at IDC. “Teradata’s continued investment in this area with ClearScape Analytics underscores its commitment to help customers operationalize analytics and AI/ML at scale to solve the most pressing business challenges – from real-time customer personalization to supply chain optimization —across all industries.”

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ClearScape Analytics Details

The recent additions to ClearScape Analytics significantly expand the overall capabilities of Teradata VantageCloud and are intended to deliver value at every stage of the analytics lifecycle.

Key benefits of ClearScape Analytics include:

  • Solve more complex problems with newly added in-database analytics capabilities – *NEW*
    • Teradata’s recently expanded in-database analytics library includes more than 50 new time series functions as well as a broad array of machine learning capabilities that are designed to support full end-to-end machine learning pipelines. These native functions make it possible to process machine learning at scale. Teradata VantageCloud is designed to not only support scaling massive amounts of data, but also to enable larger model complexity, including significantly more model variables, for deeper insights.
  • Deploy models confidently with integrated ModelOps – *NEW*
    • Despite the significant investments most organizations put into AI/ML, most predictive models are never implemented into production. Teradata VantageCloud makes it easier than ever to operationalize these investments using its governed ModelOps tool which is designed to supply the framework to manage, deploy, monitor, and maintain analytic outcomes. Teradata VantageCloud ModelOps includes capabilities such as auditing datasets, code tracking, model approval workflows, monitoring model performance, as well as alerting when models become non-performing. ModelOps can be leveraged to schedule model retraining as organizations drive towards autonomous retraining based on data drifts.
  • Activate more resources by allowing experts to work with tools of their choice – *ENHANCED*
    • With VantageCloud, data teams can use the languages and tools of their choice (e.g., Dataiku, Python, H2O.ai, etc.) which makes it easier for businesses to tap into analytic talent across the organization. Models developed outside of Teradata VantageCloud can be imported directly into Teradata VantageCloud to be run in parallel and at scale. In addition, integration with services such as Amazon SageMaker allow data science teams to tap into the expanding array of data science services in the cloud.
  • Drive more collaboration and efficiency with the enterprise feature store – *ENHANCED*
    • Greater value can be achieved when data teams work collaboratively across the organization to drive business results. By leveraging Teradata's feature store to foster collaboration and reuse models, organizations often see a significant reduction in the amount of effort spent on data preparation and feature definition. This makes trying out new ideas easier, faster, and less expensive.

Availability: ClearScape Analytics is available today.

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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 Teradata VantageCloud Lake, Teradata VantageCloud Enterprise, and ClearScape Analytics; and other factors described from time to time in Teradata’s filings with the U.S. Securities and Exchange Commission, including its most recent annual report on Form 10-K, and subsequent quarterly reports on Forms 10-Q or current reports on Forms 8-K, as well as Teradata’s annual report to stockholders. Teradata does not undertake any obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law.

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.

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The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

Teradata Announces ClearScape Analytics: The Most Powerful, Open, and Connected Cloud Analytics Available in the Industry (1)

View source version on businesswire.com: https://www.businesswire.com/news/home/20220826005446/en/

Christopher T. Lee
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Source: Teradata


What is ClearScape Analytics? ›

With ClearScape Analytics' comprehensive in-database functions and an in-database machine learning pipeline, data scientists can help apply various algorithms to large-scale data. ClearScape Analytics will ensure algorithms are executed in an optimal way, with minimum data movement.

Is Teradata cloud a cloud native solution? ›

Teradata VantageCloud delivers a modern cloud-native architecture as well as hybrid and multi-cloud deployment options, unifying analytics, data lakes, and data warehouses.

Is Teradata available on cloud? ›

Teradata has a robust hybrid cloud capability and offering. Customers can use cloud bursting to dynamically scale capacity among multiple EDW environments on-premises or in the cloud.

Is Teradata owned by NCR? ›

In September 1991, AT&T Corporation acquired NCR Corporation, which announced the acquisition of Teradata for about $250 million in December.

What are four types of analytics? ›

There are four types of analytics, Descriptive, Diagnostic, Predictive, and Prescriptive.

What are 6 types of analytics? ›

Data analysis can be separated and organized into six types, arranged in an increasing order of complexity.
  • Descriptive analysis.
  • Exploratory analysis.
  • Inferential analysis.
  • Predictive analysis.
  • Causal analysis.
  • Mechanistic analysis.
Nov 15, 2022

Why Teradata is better than Oracle? ›

Oracle is mainly used as an online back-end application. It manages inserts, updates, and deletes in a transaction, whereas Teradata is Data Warehousing application which maintains big data for analytics. There is no such thing as real-time transactions in Teradata.

Does Teradata run on AWS? ›

As an AWS PrivateLink Ready Partner, Teradata connects services to its VPC through the AWS private network. This approach enhances the security and privacy of customers' workloads by keeping all of their network traffic within the AWS network.

Why Snowflake is better than Teradata? ›

Teradata uses hardware and software components that need to be installed on-premises for optimal usage of their services. Despite having a cloud service, it is not as popular as the usage of its propriety hardware and software service, whereas Snowflake runs a cloud solution as everything resides in the cloud.

Can Teradata be hosted in Azure? ›

Vantage + Azure

Nothing can touch the superiority of Teradata Vantage as an analytics platform, in the cloud or anywhere else. Coupled with the worldwide footprint of Microsoft Azure, customers can use the powerful cloud architecture of Vantage to attain the highest levels of advanced analytics.

How does Teradata connect to database? ›

Once you open the Teradata SQL Assistant, you will find connect option in the extreme left corner just below the file option. Select the ODBC option and click on connect.

Does Walmart use Teradata? ›

Capturing data on point-of-sale transactions every second from nearly 5, 000 stores in six countries, Walmart operates the largest data warehouse in the world. It's a 30 petabyte Teradata database.

Does Apple use Teradata? ›

Q. What data warehouse does Apple use? Apple uses Teradata equipment to store all that data. With the launch of iCloud in 2011, they now operate a multi-petabyte Teradata system.

Is Teradata obsolete? ›

It is obsolete now that Teradata Database is no longer supported on MP-RAS.

What are the 7 analytical methods? ›

The 7 Most Useful Data Analysis Methods and Techniques
  • Regression analysis.
  • Monte Carlo simulation.
  • Factor analysis.
  • Cohort analysis.
  • Cluster analysis.
  • Time series analysis.
  • Sentiment analysis.
Jan 4, 2023

What are the 3 levels of analytics? ›

There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.

What are the 3 pillars of analytics? ›

Advanced data analytics comprises three pillars namely speed, agility, and performance which are important to utilize the full potential from it. These pillars strengthen the analytics strategies themselves and improve your business multiple folds.

What are the 4 types of data? ›

The data is classified into majorly four categories:
  • Nominal data.
  • Ordinal data.
  • Discrete data.
  • Continuous data.

What are the 2 types of data analysis? ›

Although there are many data analysis methods available, they all fall into one of two primary types: qualitative analysis and quantitative analysis.

What are the 5 types of analysis? ›

5 Types of analytics: Prescriptive, Predictive, Diagnostic, Descriptive and Cognitive Analytics - WeirdGeek | Data analysis tools, Data analytics, Data science.

Who are the competitors for Teradata? ›

Competitors and Alternatives to Teradata
  • Oracle.
  • IBM.
  • Microsoft.
  • Amazon Web Services (AWS)
  • Cloudera.
  • SAP.
  • Google.
  • MongoDB.

What are the disadvantages of Teradata? ›

Disadvantage: Teradata development and DBA resources are harder to come by and therefore more expensive.

What makes Teradata unique? ›

It is possible to have databases with petabytes of data in size. This characteristic makes Teradata an obvious choice for large data warehousing applications. With its parallelism and scalability, Teradata allows you to start small with a single node and grow large with many nodes through linear expandability.

Does Netflix use Teradata? ›

Netflix's cloud environment relies on a teradata- Hadoop connector that enables Netflix to seamlessly move cloud-based data from another provider into the teradata Cloud.

What language is used in Teradata? ›

Teradata uses the standard language of the Database i.e. SQL to interact with data stored in tables.

Is Teradata an ETL tool or a database? ›

Teradata is a widely used, fully scalable database used to manage large volumes of data. The Teradata Vantage platform offers variety of data and analytics solutions with hybrid cloud offerings.

Why migrate from Teradata to Snowflake? ›

Migrating to Snowflake saves you time and other resources. Snowflake's intuitive and automative features like Compressing Data, Statistic Collection, Workload Management, and Disaster Recovery have been enticing more and more Teradata customers.

How to compare data between Teradata and Snowflake? ›

Option 1: Copy the target Teradata tables to Snowflake and use SQL minus queries to compare them with the Snowflake target tables. Option 2: Compare summary statistics, eg.

Why is Teradata faster? ›

Since the process is carried out in parallel it is called as possessing Massively Parallel Processing (MPP) architecture. Due to its parallel processing, the Teradata is faster with a great margin as compared to traditional databases.

How do I migrate from Teradata to Azure? ›

You can either migrate Teradata stacks to Azure via Azure Marketplace and with Intellicloud on Azure or migrate to Azure Datawarehouse. The Teradata to SQL DW migrations involve multiple steps. These steps include analyzing the existing workload, generating the relevant schema models, and performing the ETL operation.

What is the difference between Teradata and Azure Synapse? ›

Legacy Teradata systems are installed on-premises, and they use proprietary hardware. Azure Synapse is cloud-based and uses Azure compute and storage resources. Upgrading a Teradata configuration is a major task that involves extra physical hardware and a potentially lengthy database reconfiguration or dump and reload.

Can SQL Server connect to Teradata? ›

Use the SQL Gateway and the ODBC Driver to set up a linked server for Teradata data. You can use the SQL Gateway to configure a TDS (SQL Server) remoting service and set up a linked server for Teradata data.

How do I connect Teradata to Azure data Factory? ›

Create a linked service to Teradata using UI
  1. Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New: ...
  2. Search for Teradata and select the Teradata connector.
  3. Configure the service details, test the connection, and create the new linked service.
Jan 18, 2023

How to get data from Teradata to SQL Server? ›

  1. Add the Components. To get started, add a new Teradata source and SQL Server ADO.NET destination to a new data flow task.
  2. Create a New Connection Manager. ...
  3. Configure the Teradata Source. ...
  4. Configure the SQL Server Destination. ...
  5. Run the Project.

How to connect to SQL Server from Teradata Studio? ›

To add a connection to a Teradata data source, complete the information in the Teradata Connection Manager Editor pane.
  1. In the Name box, enter a name for the connection. ...
  2. (Optional) In the Description box, enter a description of the connection.
  3. In the Server name box, enter the name of the Teradata server to connect to.
Nov 18, 2022

How Teradata is different from other databases? ›

Teradata is an RDBMS that is produced by Teradata Corp. And it is used to manage large data warehousing operations.
Difference between Teradata and MS SQL Server :
TeradataMS SQL Server
The primary database model for Teradata is Relational DBMSThe primary database model for MS SQL Server is Relational DBMS.
8 more rows
Jul 27, 2020

What type of database is Teradata? ›

Teradata is an open RDBMS (relational database management system) that runs on operating systems such as Windows, Unix, and Linux. Teradata supports huge data warehouse applications. Teradata database consists of broad options for deployment.

What is main feature of the Teradata database? ›

Unlimited Parallelism − Teradata database system is based on Massively Parallel Processing (MPP) Architecture. MPP architecture divides the workload evenly across the entire system. Teradata system splits the task among its processes and runs them in parallel to ensure that the task is completed quickly.

How does Teradata make money? ›

Summary. Teradata sells a connected multi-cloud data platform for enterprise analytics. In the last quarterly report, Teradata reported that more than 63% of its total revenue in all continents is represented by recurring revenue.

What companies use Teradata? ›

Companies that use Teradata
Company NameWebsiteRevenue
Arguswww.argusinformation.com$5 Million
baby Firstwww.babysfirstgifts.com$5 Million
Arcwww.e-arc.com267 Million
CTBC Bankwww.ctbcbankusa.com60 Million
1 more row

Is Teradata a big data technology? ›

It is a Big Data technology . It is a fully scalable relational database warehouse implemented in single RDBMS. Hadoop architecture is based on three sub-components: HDFS, MapReduce and YARN. While Teradata has following components: Parsing Engine, BYNET and AMPs.

Is Teradata a SaaS company? ›

Teradata IntelliCloud As-a-service Overview

Teradata IntelliCloud provides data and analytic software as a service (SaaS).

Is Teradata a good technology? ›

Overall Teradata is a powerful and stable enterprise data warehouse. Overall, our experience has been good. Both our cloud and on prem systems have been stable with excellent performance.

Is Teradata vantage SaaS or PAAS? ›

Teradata Vantage is the connected multi-cloud data platform for enterprise analytics. A 2021 Gartner Magic Quadrant Leader, Vantage ranked highest in 4 out of 4 use cases for Cloud Database Management Systems analytical use cases.

Does Google use Teradata? ›

Yes, Teradata Vantage on Google Cloud is a managed cloud service for analytics at scale.

Is Teradata a prem or cloud? ›

Teradata is the connected multi-cloud data platform company.

What is difference between Teradata and SQL? ›

Comparison Results: Because Teradata is more expensive, has harder initial setup, harder scalability, and fewer features, SQL Server ultimately wins out in this comparison. To learn more, read our detailed SQL Server vs. Teradata Report (Updated: January 2023).

What can data analytics software tell you? ›

Data analytics can help small businesses in a number of ways. By understanding data analytics, businesses can make better decisions about where to allocate their resources and how to price their products or services. Additionally, data analytics can help businesses identify trends and understand their customer base.

What are the three types of analytics? ›

There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.

What can website analytics tell you? ›

Analytics platforms measure activity and behavior on a website, for example: how many users visit, how long they stay, how many pages they visit, which pages they visit, and whether they arrive by following a link or not.

What is the purpose of analytics? ›

Analytics is a field of computer science that uses math, statistics, and machine learning to find meaningful patterns in data. Analytics – or data analytics – involves sifting through massive data sets to discover, interpret, and share new insights and knowledge.

What are the 5 types of data analytics? ›

Four main types of data analytics
  • Predictive data analytics. Predictive analytics may be the most commonly used category of data analytics. ...
  • Prescriptive data analytics. ...
  • Diagnostic data analytics. ...
  • Descriptive data analytics.

What are different types of big data analytics? ›

There are four main types of big data analytics: diagnostic, descriptive, prescriptive, and predictive analytics.

What are the 3 major phases of data analytics? ›

These steps and many others fall into three stages of the data analysis process: evaluate, clean, and summarize.

What is the most common type of analytics? ›

Descriptive analytics answer the question, “What happened?”. This type of analytics is by far the most commonly used by customers, providing reporting and analysis centered on past events.

What is the most commonly used analytics? ›

Being one of the most popular tools for Data Analytics, Microsoft Excel provides the users with features such as sharing workbooks, work on the latest version for real-time collaboration, and adding data to Excel directly from a photo and so on.

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