Teradata vs Toad Data Point comparison

Teradata and Quest Software are both solutions in the Data Integration category. Teradata is ranked #15 with an average rating of 7.7, while Quest Software is ranked #30 with an average rating of 9.0. Teradata holds a 0.9% mindshare in DI, compared to Quest Software’s 0.7% mindshare. Additionally, 88% of Teradata users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Teradata

Read 83 Teradata reviews

10,428 Views
1,147 Comparison Views

88% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

1,146 Views
779 Comparison Views

100% willing to recommend

Teradata

Toad Data Point

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Toad Data Point are competing in the data management and analysis space. Toad Data Point offers a better overall value due to its broad features and cost-effectiveness.

Features: Teradata provides powerful analytics capabilities, scalability, and an efficient parallel processing architecture, making it ideal for large enterprises handling significant data operations. Toad Data Point stands out for its user-friendly interface, extensive connectivity to diverse data sources, and automation features, appealing to businesses seeking straightforward data analysis solutions.

Room for Improvement: Teradata could enhance its user interface to simplify operations for non-expert users, improve cost-effectiveness for smaller enterprises, and streamline its complex deployment process. Toad Data Point may benefit from expanding its advanced data analytics features, enhancing performance with high data volumes, and offering more integrated security solutions for enterprise-level clients.

Ease of Deployment and Customer Service: Toad Data Point offers easy deployment and robust customer support, facilitating smooth integration for businesses. Teradata, while technically advanced, can involve a more complicated deployment process, which might require additional resources and expertise.

Pricing and ROI: Teradata typically involves higher initial setup costs, which can affect ROI in the long term. In contrast, Toad Data Point's moderate pricing and quick implementation can lead to faster ROI, presenting a pricing advantage that can be attractive for budget-conscious organizations.

To learn more, read our detailed Teradata vs. Toad Data Point Report (Updated: December 2025).

Buyer's Guide

Teradata vs. Toad Data Point

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Teradata

Ranking in Data Integration

15th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (17th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (4th)

Toad Data Point

Ranking in Data Integration

30th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Preparation Tools (5th)

Mindshare comparison

As of December 2025, in the Data Integration category, the mindshare of Teradata is 0.9%, up from 0.7% compared to the previous year. The mindshare of Toad Data Point is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.9%
Toad Data Point	0.7%
Other	98.4%

Data Integration

Featured Reviews

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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Aaron Payne

ERP Manager at a tech services company with 5,001-10,000 employees

Offers power developers the tooling they need

I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"I like writing preformance queries for preprocessing on AWS Cloud."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

"Designing the database is easy."

"Teradata's best feature is its speed with historical data."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

"Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time."

More Teradata pros

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"With Toad Data Point, I can automate most steps automatically."

"We love it."

"I have never experienced any issues with customer service."

"The best thing about it is its automation features."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

Cons

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"The initial setup was complex as we had to rewrite a lot of the code."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"The current operational approach needs improvement."

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

"The cloud is the new challenge and the new opportunity."

"It could use some more advanced analytics relating to structured and semi-structured data."

More Teradata cons

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

Pricing and Cost Advice

"Teradata used to be expensive, but they have been lowering their prices."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"The initial cost may seem high, but the TCO is low."

"Teradata is not cheap, but you get what you pay for."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"I am using the free version of Teradata."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

More Teradata pricing and cost advice

"The cost of this product is reasonable."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

"The price of Toad Data Point was approximately $500 annually."

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Manufacturing Company

Computer Software Company

Healthcare Company

Financial Services Firm

28%

Healthcare Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

No data available

Questions from the Community

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

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Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

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Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

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What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

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What needs improvement with Toad Data Point?

I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.

See all answers

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

See all answers

Comparisons

Oracle Exadata vs Teradata

Compared 8% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 6% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

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WhereScape RED vs Toad Data Point

Compared 16% of the time

SSIS vs Toad Data Point

Compared 14% of the time

SAS Enterprise Guide vs Toad Data Point

Compared 13% of the time

Alteryx vs Toad Data Point

Compared 11% of the time

SAS Access vs Toad Data Point

Compared 10% of the time

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Product Reports

Buyer's Guide

Teradata

December 2025

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Buyer's Guide

Toad Data Point

December 2025

Download Toad Data Point product report

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

No data available

Overview

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

Netflix

Concordia University

Buyer's Guide

Teradata vs. Toad Data Point

December 2025

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