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 86% of Teradata users who would recommend it.

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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 BI (Business Intelligence) Tools Report (Updated: October 2024).

Buyer's Guide

BI (Business Intelligence) Tools

October 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

Jul 27, 2022

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

Mar 22, 2022

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

Feb 20, 2024

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

"The dashboarding offered by this solution is very valuable to us."

"The three IBM Cognos features I find the most valuable are Dynamic Cubes, PowerPlay, and Watson."

"The solution's initial setup process is easy."

"The initial setup is quite straightforward."

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

"It is a stable product."

"The initial setup is very straightforward."

"One of the strong suits of Cognos is its robust corporate reporting capability."

More IBM Cognos pros

"I have found the solution easy to use and the interface is very good."

"This solution has transformed us from an Excel reporting environment to one of visual exploration."

"Tableau's initial setup was straightforward."

"Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."

"The solution allows for the possibility for end-users to do their own reporting."

"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."

"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."

"It's a very good, flexible product, and it's easy to learn."

More Tableau pros

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"It's a pre-configured appliance that requires very little in terms of setting-up."

"The performance is great, we are able to query our data in one operation."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

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

"The data processing, clustering, and distributed computing are impressive."

More Teradata pros

Cons

"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."

"I would like to see the introduction of mapbooks for supporting some geographical information."

"The AI-based features could be further enhanced by the solution."

"They should provide improved visual reporting."

"The solution seems to slow down the servers."

"IBM Support can be slow at times, but they can usually deliver in a timely manner."

"Tableau and Power BI are faster than Cognos."

"I would like to have predictive and forecasting capabilities in Cognos. It's one thing to do reporting, and another thing to easily predict or forecast certain data points, which is very important for all the clients."

More IBM Cognos cons

"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."

"When I've done presentations in the past, I've had issues with uploading the cartography."

"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."

"Reports should be downloadable as PDF files."

"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."

"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."

"The data entered into Tableau must be clean. Otherwise, it won't work properly."

"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."

More Tableau cons

"There is some improvement required on OLTP level and some analytical function is missing."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"I would like more security and speed."

"Teradata is a bit late for the cloud."

"It needs a teaching web site with more training on third-party tools used for BI."

"Limited interest and success in some areas make us hesitate about upgrading."

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

More Teradata cons

Pricing and Cost Advice

"It is my understanding that the cost is very low. It's not very expensive."

"Pricing should be improved."

"I rate the product price as four or five on a scale from one to ten, where one is a low price, and ten is a high price."

"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."

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

"The cost of IBM Cognos it's more or less the same as most of the other solutions on the market. They're very competitive with the rest of the market and it is not the most expensive product."

"It is quite pricy. I think Microsoft BI is cheaper. Tableau might also be cheaper, but it also depends on the usage. If you have very many users, Cognos can be a problem. It could be cheaper than Tableau but not for so many users. If you have a few thousand users, Tableau, which is generally quite expensive, can be cheaper than Cognos."

"There is some additional licensing that we needed to purchase because we were touching data outside of our core data platform. The cost was approximately $25,000 for the additional licenses, which were approximate 45 licenses. For the application itself, updates, and the core platform it was approximately $50,000. Giving a total cost of $75,000 annually for our usage of IBM Cognos."

More IBM Cognos pricing and cost advice

"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."

"The cost is high."

"Tableau is an expensive solution, though it comes with its advantages."

"The solution is expensive but it depends on the customer's needs which will determine the cost of the licensing."

"We pay for the enterprise license for Tableau. The licensing could be cheaper and more flexible."

"The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases."

"The pricing for Tableau is the same as the other products in the market."

"I like the payment model. For the people who need to create, they buy their licenses. Everyone else can use the free Tableau Viewer. This is much better than some of the competitor products, which require full licences for everything."

More Tableau pricing and cost advice

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

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

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

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

"Teradata is a very expensive solution."

"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."

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

58%

Financial Services Firm

Computer Software Company

Government

Educational Organization

40%

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Financial Services Firm

25%

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 12% 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 6% of the time

SAP Analytics Cloud vs IBM Cognos

Compared 6% of the time

More IBM Cognos Competitors

Microsoft Power BI vs Tableau

Compared 20% of the time

Domo vs Tableau

Compared 13% of the time

Amazon QuickSight vs Tableau

Compared 9% of the time

Databricks vs Tableau

Compared 5% of the time

Alteryx vs Tableau

Compared 2% of the time

More Tableau Competitors

SQL Server vs Teradata

Compared 14% of the time

Oracle Exadata vs Teradata

Compared 13% of the time

Snowflake vs Teradata

Compared 9% 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

October 2024

Download IBM Cognos product report

Buyer's Guide

Tableau

September 2024

Download Tableau product report

Buyer's Guide

Teradata

September 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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October 2024

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