Teradata

Teradata Advanced SQL Engine

Composite Score

8.0 /10

CX Score

8.4 /10

28 Reviews Write a Review

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What is Teradata Advanced SQL Engine?

Advanced SQL Engine leverages industry-leading Teradata Database which was designed with a patented massively parallel processing (MPP) architecture from ground-up. This allows complex analytics workloads to be broken down and distributed in order to perform as efficiently as possible. Advanced SQL is the foundation that provides the scalability to start small and then expand into an enterprise-wide, mission-critical analytics system.

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Awards & Recognition

Teradata Advanced SQL Engine won the following awards in the Transaction Data Store category

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1 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2024

0 Top Rated Capabilities

3 Top Rated Features

2022

Teradata Advanced SQL Engine Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Teradata Advanced SQL Engine.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

1
Since last award

99 Plan to Renew

82 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+95 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Teradata Advanced SQL Engine?

8% Negative

2% Neutral

90% Positive

Pros

Fair
Caring
Enables Productivity
Trustworthy

Feature Ratings

Average 80

Data Backup

Big Data Analytics

Data Protection and Security

Distributed Processing

High Speed & Online Transaction Processing

Data Virtualization

Database Management

Data Management

Hybrid Transaction and Analytical Support

High Availability

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Average 79

Quality of Features

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Ease of Implementation

Breadth of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Teradata Advanced SQL Engine Reviews

Francis M.

Role: Finance
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2025

High-Performance SQL Engine

Likeliness to Recommend

10 /10

What differentiates Teradata Advanced SQL Engine from other similar products?

High Performance

What is your favorite aspect of this product?

Performance

What do you dislike most about this product?

Teradata Advanced SQL Engine can be expensive, particularly for large deployments.

What recommendations would you give to someone considering this product?

1. Prioritize Performance - If your primary need is lightning-fast SQL query processing on massive datasets, Teradata Advanced SQL Engine excels. 2. Evaluate Cost-Benefit - Carefully weigh the high cost against the performance gains expected for your specific workloads. 3. Consider Alternatives - Explore other high-performance database options like Snowflake or Amazon Redshift to compare features and pricing. 4. Leverage Teradata Expertise - Utilize Teradata's expertise in data warehousing and analytics to optimize your deployments and maximize ROI.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Rituja N.

Role: Finance
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2023

Fast & accurate results, seamless connectivity

Likeliness to Recommend

7 /10

What differentiates Teradata Advanced SQL Engine from other similar products?

Teradata Advanced SQL Engine differentiates itself from other similar products as it allows complex analytics workloads to be distributed and processed efficiently, enabling the platform to handle large volumes of data with exceptional performance and accuracy

What is your favorite aspect of this product?

My favorite aspect of Teradata Advanced SQL Engine is its seamless connectivity with other systems and its suitability for data science projects, which involve processing substantial amounts of data, are highly valued

What do you dislike most about this product?

The aspect I diskile aboyt the tool is the high cost associated with data transfer

What recommendations would you give to someone considering this product?

I would recommend Teradata Advanced SQL Engine for users with substantial data processing requirements, particularly those who prioritize scalability, performance, and seamless connectivity with other systems. However, considerations should also be given to the user interface and cost factors

Pros

Helps Innovate
Over Delivered
Continually Improving Product
Reliable

Amy A.

Role: Operations
Industry: Finance
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Jun 2023

Teradata Advanced SQL Engine! Making business easy

Likeliness to Recommend

8 /10

What differentiates Teradata Advanced SQL Engine from other similar products?

Everything, from dealing with just about any data collection to creating perceptions, is really simple to comprehend, clear to see, and enjoyable to enjoy. It organizes and cycles through enormous amounts of data at a speed that is unmatched by any other information tool. Teradata is the best option for businesses working with huge amounts of data since it can conduct complicated queries on enormous datasets. Structured, semi-structured, and unstructured data are just a handful of the data types and data sources that Teradata can handle. We can use data from different sources in this way to get important insights and make wise judgments.

What is your favorite aspect of this product?

What I loved best about it was its MPP architecture, which efficiently computes billions of records. The ideal database for maintaining and analyzing my data warehouse. Teradata also provides numerous useful utilities for loading and transforming data, such as breq, Fload, and Tpt. Given the data being collected from numerous data sources, the application’s data lineage functionality could have been enhanced. The data lineage makes it easier for the data engineer to narrow down data concerns.

What do you dislike most about this product?

Users who are unfamiliar with the system or who have never used sophisticated data analytics tools may find the learning curve to be quite high.

What recommendations would you give to someone considering this product?

Teradata provides excellent massively parallel processing capabilities. This functionality allows Teradata to run the most complex queries as quickly as feasible. Teradata vantage is a high-performance data-warehousing solution for every business. Teradata significantly improved its performance, compression techniques, and the addition of additional data types and string functions. Overall, it’s enjoyable to work with.

Pros

Helps Innovate
Reliable
Enables Productivity
Unique Features

Teradata Advanced SQL Engine

What is Teradata Advanced SQL Engine?

Company Details

Need Assistance?

Awards & Recognition

Teradata Advanced SQL Engine Ratings

88 Likeliness to Recommend

1 Since last award

99 Plan to Renew

82 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+95 Net Emotional Footprint

How much do users love Teradata Advanced SQL Engine?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Backup Includes the creation of duplicate instances to recover from an unplanned data loss. Also, support for high volumes of data processing and data compression.

Big Data Analytics Use of big data analytics through integration into purpose-built big data tools or native capabilities, incorporating advanced security methods.

Data Protection and Security Includes data encryption, data audit, and data compliance.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

High Speed & Online Transaction Processing Also referred to as OLTP (Online Transaction processing). OLTP databases include strong support for CRUD operations and ACID compliance.

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

Database Management Supports multiple data types, data structuring, data retrieval, database customization, and multi-user access.

Data Management Includes data sharing, data storage, records management, and data security.

Hybrid Transaction and Analytical Support Includes OLTP and OLAP (Online Analytical Processing). Most OLTP systems support some level of OLAP but very few OLAP systems support OLTP.

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Cloud/On-Prem/Hybrid Deployment Supports one or many deployment models - On-prem, cloud or hybrid hosting of the database system.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Teradata Advanced SQL Engine Reviews

Francis M.

High-Performance SQL Engine

Likeliness to Recommend

Pros

Rituja N.

Fast & accurate results, seamless connectivity

Likeliness to Recommend

Pros

Amy A.

Teradata Advanced SQL Engine! Making business easy

Likeliness to Recommend

Pros

Most Popular Teradata Advanced SQL Engine Comparisons

Microsoft SQL Server

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SAP HANA Cloud

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Azure Cosmos DB

1
Since last award

1
Since last award

Feature Ratings

Data Backup

Big Data Analytics

Data Protection and Security

Distributed Processing

High Speed & Online Transaction Processing

Data Virtualization

Database Management

Data Management

Hybrid Transaction and Analytical Support

High Availability

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Ease of Implementation

Breadth of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Availability and Quality of Training