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Microsoft Power BI vs Tableau vs Teradata comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
7.9
Organizations achieved substantial ROI with Microsoft Power BI, finding it cost-effective, user-friendly, and beneficial for small teams.
Sentiment score
7.1
Tableau improves decision-making and efficiency, offering quick adoption and high ROI, especially when replacing outdated systems.
Sentiment score
8.1
Teradata boosts analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
 

Customer Service

Sentiment score
6.7
Microsoft Power BI customer service is generally responsive and effective, but many users rely on online resources for solutions.
Sentiment score
7.1
Tableau's customer and sales support is praised for responsiveness, with technical assistance valued but needing improvement in some areas.
Sentiment score
7.1
Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
They provide quick email and phone responses and have Thai-speaking personnel.
The technical support for Tableau is quite good.
I find Tableau's technical support to be good with elite support, but it struggles with usual, general support.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
 

Scalability Issues

Sentiment score
7.0
Microsoft Power BI scales well for diverse organizations, but large datasets and costs may affect performance and scalability potential.
Sentiment score
6.7
Tableau's scalability is influenced by server setup, workbook design, and is improved with new releases, despite pricing concerns.
Sentiment score
7.4
Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
 

Stability Issues

Sentiment score
7.5
Microsoft Power BI is reliable, with occasional issues on large datasets, generally viewed positively compared to similar products.
Sentiment score
7.3
Tableau is generally stable, with improvements in newer versions, but issues may occur with heavy loads or poor infrastructure.
Sentiment score
8.4
Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It's not a bad grade, as I know of better products in this field.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
 

Room For Improvement

Microsoft Power BI needs improved data integration, user-friendly features, enhanced visualizations, better mobile support, and clearer licensing options.
Tableau needs enhanced data integration, advanced analytics, cost-effective licensing, and improved enterprise features for user experience and performance.
Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
 

Setup Cost

Microsoft Power BI provides flexible pricing with a free desktop version and paid options ideal for various enterprise needs.
Enterprise buyers should consider Tableau's varied licensing, higher costs, and flexible options compared to alternatives like Power BI.
Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
The cost for viewer rights is around $60, but it can vary based on the business and is usually for a year.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
 

Valuable Features

Microsoft Power BI offers robust data visualization, integration, and insights, enhancing decision-making with intuitive interfaces and extensive connectivity.
Tableau offers a user-friendly interface, dynamic visualizations, and integrates diverse data sources for effective, real-time data analysis.
Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
The solution makes it easy for me to develop reports and publish them.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
 

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 21.6%, down from 22.4% compared to the previous year. The mindshare of Tableau is 17.5%, down from 19.1% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

James Balbach - PeerSpot reviewer
Robust system consistently elevates data visualization and seamlessly updates with user-driven advancements
Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.
Nattawat Choosuwan - PeerSpot reviewer
Real-time data connection enhances workflow and decision-making process
An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.
SurjitChoudhury - PeerSpot reviewer
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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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Educational Organization
41%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
Educational Organization
43%
Financial Services Firm
10%
Computer Software Company
6%
Manufacturing Company
6%
Financial Services Firm
26%
Computer Software Company
10%
Healthcare Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I wou...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize info...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are ...
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 ...
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...
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....
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...
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 ...
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 ...
 

Comparisons

 

Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
Tableau Desktop, Tableau Server, Tableau Online
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
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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