Tableau vs Teradata comparison

Salesforce and Teradata are both solutions in the BI (Business Intelligence) Tools category. Salesforce is ranked #2 with an average rating of 8.7, while Teradata is ranked #10 with an average rating of 7.8. Additionally, 89% of Salesforce users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 6, 2024

Tableau and Teradata compete in the business intelligence and data analytics category. While Tableau holds an advantage in visualization and user satisfaction, Teradata is considered superior for handling large-scale data and offering robust analytical features.

Features: Tableau is known for its intuitive data visualization, flexibility in creating diverse graphs, and user-friendly interface for dashboard creation. Teradata shines with its high performance in managing massive datasets, advanced analytical capabilities, and efficient data querying features.

Room for Improvement: Tableau could improve its data processing speed, expand data integration options, and enhance real-time analytics support. Teradata might benefit from simplifying its complex setup, enhancing user interface design, and improving its data modeling tools for efficiency.

Ease of Deployment and Customer Service: Tableau is praised for its straightforward deployment and responsive customer service, facilitating quick user adaptation. In comparison, Teradata's deployment is complex, suited for sophisticated environments, but customer service could be more personalized to better meet client needs.

Pricing and ROI: Tableau's pricing is seen as reasonable with substantial ROI due to its user-centric design and innovative features. Teradata may have higher upfront costs, but its comprehensive analytics justify the investment with substantial ROI in complex data environments.

To learn more, read our detailed Tableau vs. Teradata Report (Updated: November 2024).

Buyer's Guide

Tableau vs. Teradata

November 2024

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Categories and Ranking

IBM Cognos

Q&A Highlights

Tomasz Rabong

Client Engagement Leader at Sanmargar Team

Apr 20, 2022

Which data catalog can provide support for BI data sources such as SAP BO and Tableau?

Dear Community, Many thanks for yor support and help!

See all answers

Featured Reviews

Carlos Larrad Salgado

Deputy Director Operations Management Control at Mapfre

Improved the quality of our KPIs, while reducing calls to the IT department

I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality. The user experience is also very important. Cognos is not very easy to understand sometimes, especially when they change the layout but keep the functionality the same. The help is not very graphic and they have no examples. Cognos has to make a big effort to help with understanding the functionality by improving the documentation. There is a lot of documentation, but the examples are hard to find and they should make their help section easier to understand for non-technical users.

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ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time

When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

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SurjitChoudhury

Data engineer at Cocos pt

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

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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

"Report Studio: This is the most powerful and sophisticated tool for professional reporting."

"The most valuable feature of IBM Cognos is security. The solution has updated features that other competitors' solutions come out with long after IBM Cognos has had them."

"IBM Cognos offers tools so that you can design and develop your own test queries and reporting solutions."

"Comparing IBM Cognos to other applications, once a person is trained on it or they have developed a skill set to operate the application, it is best in its category."

"The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools."

"We are able to generate quality reports easily which allows us to decrease response time."

"The most valuable features are Report Development (Functionality) and Information Distribution (Flexibility)."

"Integration with Office can enable the 'download' mode of storytelling."

More IBM Cognos pros

"Tableau will automatically show charts for the related data that I choose making it very easy to use."

"It gives us a new dimension to the way that we analyse our data."

"It most valuable feature is its ease of developing visualizations, not just charts and graphs."

"I like the visualization component."

"The most valuable features are data discovery and fine visualizations."

"The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns."

"The most valuable feature is the interface, which is user-friendly and intuitive."

"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."

More Tableau pros

"Improved performance of ETL procedures, reporting."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"The solution scales well on the cloud."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

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

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

More Teradata pros

Cons

"I would like to see is more easy building, movement in the reports, and dashboard functionality within reporting. Overall more simple elements within reports. If the elements are simple then you don't have to render a full page, but you can move separate parts in the page."

"The tool needs to improve the connectivity since I see that, at times, there is a need to increase the memory in the database."

"The high cost of a license makes it hard to scale up on a budget."

"It would be good if the solution had conditional formatting."

"One thing that we really want is the ability to have data portrayed on an image. Cognos is not able to do it at the moment, and that's becoming a requirement from the business side: having an image and then plotting your dataset on top of the image as a map."

"I would like them to reinclude PowerPlay. One thing that I am missing in the current Cognos is what was formally named PowerPlay. They have basically removed PowerPlay from it, which is something that I fail to understand because it was the most wonderful tool for business intelligence that I've ever used. As far as I know, they don't provide this functionality anymore, so this is one thing that I dislike about Cognos."

"There are a lot of limitations with the out-of-the-box tool."

"Tableau and Power BI are faster than Cognos."

More IBM Cognos cons

"Tableau support could be improved."

"The charting is overly complex in comparison with Power BI's"

"Other tools are more competitively priced."

"Overall, the only major frustration that I have had so far is with Tableau Public. I first used Tableau Public when I was building capacity, and when there was a later release to download and you wanted to upgrade, all your work would have to be manually re-entered."

"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."

"Tableau's integration with Einstein Analytics could be better."

"Users would like to be able to export an Excel file when they see a table or something like that. That's not an out-of-the-box feature for Tableau."

"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."

More Tableau cons

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"Teradata has a few AI models, but in data science, we need more flexibility."

"I'm not sure about the unstructured data management capabilities. It could be improved."

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

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

"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."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

More Teradata cons

Pricing and Cost Advice

"There is need to assess the purchase license accordingly so as to avoid audit penalties."

"On a scale from one to ten where one is low pricing and ten is high pricing, I would rate this solution at eight."

"The pricing and licensing policies are comparatively cheaper than other products in the market ."

"There is a standard license required to use this solution. There are some additional tools but I am not sure if they are an extra cost."

"It is averagely priced."

"IBM Cognos offers competitive pricing similar to other BI vendors in the market."

"IBM Cognos price is on the higher side of the spectrum. However, with the features that it brings, such as correlation analysis, it's worth the money. They should look at the pricing more clearly because it's a little on the higher side."

"The pricing of this product is meant for medium to large-scale enterprises."

More IBM Cognos pricing and cost advice

"At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."

"The professional version of Tableau is quite expensive."

"The product's price is relatively inexpensive and manageable for enterprise-level companies."

"Tableau has reasonable pricing."

"The initial cost that is set according to CPU cores is expensive."

"It's an annual fee with everything included but it's quite expensive."

"There is a license required, we pay an annual license which is priced fair."

"Licensing fees are paid on a yearly basis."

More Tableau pricing and cost advice

"It comes at a notably high cost for what it offers."

"I am using the free version of Teradata."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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

"It's a very expensive product."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

More Teradata pricing and cost advice

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Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…

Read full review

Answers from the Community

Tomasz Rabong

Client Engagement Leader at Sanmargar Team

Apr 20, 2022

Which data catalog can provide support for BI data sources such as SAP BO and Tableau?

Dear Community, Many thanks for yor support and help!

2 out of 6 answers

Evgeny Belenky

Director of Community at PeerSpot (formerly IT Central Station)

Apr 18, 2022

Hi @Delmar Assis, @Angel Pineda, @reviewer1318779, @George McGeachie, @Carel Van Der Merwe and @Moorthy Natarajan, Can you please assist @Tomasz Rabong with their question?

Read full answer

Leandro Sodré

Data Governance Specialist at Keyrus

Apr 18, 2022

Hi Tomasz Rabong, I believe that if you have a developer team in Amundsen it would be possible. Alternatively, you can look at Informatica EDC or at Data Virtualization Data Catalog (from Denodo).

Read full answer

See all 6 answers

Top Industries

By visitors reading reviews

Educational Organization

55%

Financial Services Firm

Computer Software Company

Government

Educational Organization

42%

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...

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What do you like most about IBM Cognos?

The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.

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What needs improvement with IBM Cognos?

I need improvements, particularly with the Framework Manager, which has an outdated user interface from older version...

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Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have be...

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Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use....

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What do you like most about Tableau?

Tableau is a fantastic tool that provides impressive dashboards and customized reports.

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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 d...

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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 ...

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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 ...

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Comparisons

Microsoft Power BI vs IBM Cognos

Compared 13% of the time

Oracle Hyperion vs IBM Cognos

Compared 10% of the time

Amazon QuickSight vs IBM Cognos

Compared 8% of the time

SAP BusinessObjects Business Intelligence Platform vs IBM Cognos

Compared 7% of the time

SAP Analytics Cloud vs IBM Cognos

Compared 5% of the time

More IBM Cognos Competitors

Microsoft Power BI vs Tableau

Compared 19% of the time

Domo vs Tableau

Compared 12% of the time

Amazon QuickSight vs Tableau

Compared 8% of the time

Databricks vs Tableau

Compared 5% of the time

Oracle Hyperion vs Tableau

Compared 2% of the time

More Tableau Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 13% of the time

Snowflake vs Teradata

Compared 8% of the time

MySQL vs Teradata

Compared 8% of the time

Vertica vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

IBM Cognos

December 2024

Download IBM Cognos product report

Buyer's Guide

Tableau

November 2024

Download Tableau product report

Buyer's Guide

Teradata

November 2024

Download Teradata product report

Also Known As

Cognos, Cognos Analytics, IBM Cognos Analytics

Tableau Desktop, Tableau Server, Tableau Online

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Learn More

IBM

Salesforce

Teradata

Overview

IBM Cognos Business Intelligence provides a wide range of tools to help you analyze your organization's data. IBM Cognos BI allows businesses to monitor events and metrics, create and view business reports, and analyze data to help them make effective business decisions.

IBM Cognos applies techniques to describe, summarize, and compare data, and draw conclusions. This allows users to see trends and discover anomalies or variances that may not be evident by simply reading data. Data sources that contain information from different areas of a business can be stored in separate packages. Users can see only information that they have been granted access to, based on their group or role.

IBM Cognos BI consolidates the following business intelligence functions into a single web-based solution:

IBM Cognos Insight: Create personal and managed workspaces for data analysis. Using these interactive workspaces, you can share insight results with managers. Cognos Insight supports write-back, and you can also use these workspaces to capture and integrate management goals, commitments, and forecasts.
IBM Cognos Workspace: With IBM Cognos Workspace, you can create rich, interactive workspaces using IBM Cognos content as well as data from external sources. You can view and open your favorite workspaces and reports, edit content in your workspaces, and share your workspaces via email.
IBM Cognos Analytics: IBM Cognos Analytics utilizes built-in AI and intuitive searches which helps users to quickly create the visualizations and a wide range of reports. Cognos Analytics provides cognitive and managed self-service, enabling you to gain insights from controlled and trusted data.
IBM Cognos Report Studio and IBM Cognos Query Studio: Easily create structured and query reports. IBM Cognos allows users to create application and report templates. In addition, report authors can reuse report objects to apply filters, fields, and styles to reports. Users can set the language of the user interface and report content according to the user's native language.
IBM Cognos Event Studio: Receive notifications of events that occur within your organization in real time. Event Studio enables the creation of agents that detect the occurrence of business events, failures, or anomalies, based on the change of specific events or data conditions. Notification can be sent via email, publication in the portal, or by triggering reports.
IBM Cognos Connection: This is the Web portal for IBM Cognos BI and is the central area for accessing all the IBM Cognos functions. In the web portal, users can schedule and distribute reports, create tasks, administer the server and the access permissions, and more.

Reviews from Real Users

IBM Cognos stands out among its competitors for a number of reasons. Two major ones are its powerful analysis tool and its reporting capabilities.

Prasad B., a senior software engineer at a financial services firm, notes, “The product is a very good reporting tool and is very flexible. It allows for the users to get a scheduled report. We can receive automated reports as well. They are easy to schedule on a weekly or monthly basis. It is very fast. I mean in means of report output, it's very fast compared to the actual clients involved.”

Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

More than 23,000 leading organizations across multiple industries use Cognos. Some examples of Cognos customers include BMW Financial Services, Quinte Health Care, Troy Corporation, Michigan State University, and GKN Land System.

Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.

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Buyer's Guide

Tableau vs. Teradata

November 2024

Free Report: Tableau vs. Teradata

Find out what your peers are saying about Tableau vs. Teradata and other solutions. Updated: November 2024.

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