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IBM Planning Analytics vs Microsoft Power BI vs Tableau Enterprise 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
6.8
IBM Planning Analytics boosts budgeting productivity but faces challenges from rising costs, prompting some companies to explore alternatives.
Sentiment score
7.0
Microsoft Power BI offers high ROI due to cost-effectiveness, ease of use, improved analytics, and rapid cost recovery.
Sentiment score
7.0
Tableau Enterprise delivers rapid returns through efficiency, cost reduction, quick insights, and enhanced decision-making within six to twelve months.
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.
Tableau is saving me time, money, and resources, which I would rate as ten.
 

Customer Service

Sentiment score
6.0
IBM Planning Analytics support is positive, yet response times vary; documentation, training, and multi-level support are valued.
Sentiment score
6.6
Microsoft Power BI's support receives mixed reviews; users often rely on community resources for quicker, more effective solutions.
Sentiment score
6.1
Tableau Enterprise support is praised for professionalism and multilingual assistance but needs improvement in response times and technical expertise.
We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective support.
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.
The support is good because there is also a community available.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
 

Scalability Issues

Sentiment score
7.5
IBM Planning Analytics excels in scalability and real-time data, though complexity and pricing pose challenges for some users.
Sentiment score
6.9
Microsoft Power BI offers scalability and integration, though optimizing large deployments may require expertise, especially with complex or large data.
Sentiment score
6.7
Tableau Enterprise's scalability varies, effective with design and configuration, but big data performance concerns and costs remain.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
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.
 

Stability Issues

Sentiment score
7.7
IBM Planning Analytics is stable and reliable, praised for robustness, supporting budgeting in various industries with few issues.
Sentiment score
7.4
Microsoft Power BI is stable and reliable, though large datasets may impact performance; frequent updates enhance its reputation.
Sentiment score
7.4
Tableau Enterprise is generally stable and reliable, with occasional issues mainly related to large datasets or server configurations.
This stability is really important as we use it for budget calculation, which is time-consuming.
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 is very stable for small data, but with big data, there are performance challenges.
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.
 

Room For Improvement

IBM Planning Analytics needs improved integration, pricing, visualization, user interface, functionality, automation, design, speed, and predictive analytics support.
Microsoft Power BI is criticized for high costs, complexity, handling large data, and lacking intuitive interfaces and AI integration.
Tableau Enterprise users seek better data integration, improved performance, cost-effective pricing, and enhanced analytics and collaboration features.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
IBM's visualization needs significant improvement.
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.
 

Setup Cost

Enterprise IBM Planning Analytics has setup costs from consulting fees and varied licensing, offering market-standard ROI and compatibility.
Microsoft Power BI offers flexible pricing, from free to premium, making it a cost-effective business intelligence tool for enterprises.
Tableau's pricing is high yet competitive, with increased costs for added features, posing challenges for small organizations.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
 

Valuable Features

IBM Planning Analytics enhances planning with flexible design, Excel integration, sandbox testing, machine learning, and user-friendly interface.
Microsoft Power BI excels with seamless data integration, customizable dashboards, and user-friendly features, empowering self-service insights across industries.
Tableau Enterprise excels in data integration, visualization, and analytics, offering customization, real-time processing, and advanced capabilities for decision-making.
Its stability helps controllers win time in their planning processes.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
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.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
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.
 

Mindshare comparison

Business Performance Management
BI (Business Intelligence) Tools
BI (Business Intelligence) Tools
 

Featured Reviews

Gnanavel-Chakkarapani - PeerSpot reviewer
Can easily create dashboards and helps businesses improve forecasting accuracy
The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool. Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it. The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases. It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server. When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics. The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers. The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results. I recommend the product to those who plan to use it. I rate the tool a nine out of ten.
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.
Uzair Faruqi - PeerSpot reviewer
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.
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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
Financial Services Firm
16%
Manufacturing Company
11%
Retailer
7%
Computer Software Company
7%
Financial Services Firm
12%
Computer Software Company
9%
Government
9%
Manufacturing Company
8%
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Planning Analytics?
The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database w...
What is your experience regarding pricing and costs for IBM Planning Analytics?
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly. Comparati...
What needs improvement with IBM Planning Analytics?
IBM is behind competitors like Tableau ( /products/tableau-reviews ) and Power BI in terms of visualization. Their vi...
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....
 

Also Known As

Cognos TM1, IBM Cognos TM1
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

ManpowerGroup, Convergys, AIG, Orchard Brands, Citibank, InterGen, Northwestern University, EF Education First, Ironside, Bazan Group, CSOB Insurance, Macquarie Group, Charles Stanley, SATO, Government of Sint Maarten, BMW Financial Services
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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