Anaconda Business vs IBM Planning Analytics comparison

The compared Anaconda and IBM solutions aren't in the same category. Anaconda is ranked #11 in Data Science Platforms , with an average rating of 8.7, and holds a 2.1% mindshare in the category. IBM is ranked #4 in BPM , with an average rating of 8.4, and holds a 8.0% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 90% of IBM users who would recommend it.

Anaconda Business

Read 19 Anaconda Business reviews

1,619 Views
1,214 Comparison Views

95% willing to recommend

IBM Planning Analytics

Read 25 IBM Planning Analytics reviews

3,399 Views
1,360 Comparison Views

90% willing to recommend

Anaconda Business

IBM Planning Analytics

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Executive Summary

We performed a comparison between Anaconda Business and IBM Planning Analytics based on real PeerSpot user reviews.

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August 2025

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Review summaries and opinions

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

Categories and Ranking

Anaconda Business

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

IBM Planning Analytics

Average Rating

8.4

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Business Performance Management (4th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda Business is designed for Data Science Platforms and holds a mindshare of 2.1%, up 2.1% compared to last year.
IBM Planning Analytics, on the other hand, focuses on Business Performance Management, holds 8.0% mindshare, down 9.5% since last year.

Data Science Platforms

Business Performance Management

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

Read full review

Gnanavel-Chakkarapani

Junior Consultant at CMA CGM

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.

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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 tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."

"I can use Anaconda for non-heavy tasks."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."

"It helped us find find the optimal area for where our warehouse should be located."

"The virtual environment is very good."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

More Anaconda Business pros

"IBM Planning Analytics can help us build scenarios through a sandbox environment, allowing us to test multiple variables and assess their impact on our budget and planning."

"IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."

"Planning Analytics' best features include automatic updates and slicing."

"The scenario modeling capabilities are frequently used to create different scenarios, compare them, and see which action leads to which result."

"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."

"The product's stability is good."

"The most valuable feature is that it is able to slice and dice the data."

"Its stability helps controllers win time in their planning processes."

More IBM Planning Analytics pros

Cons

"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."

"It also takes up a lot of space."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

"Anaconda should be optimized for RAM consumption."

"Anaconda can't handle heavy workloads."

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

"The solution would benefit from offering more automation."

"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

More Anaconda Business cons

"The tool should include features for prediction. It can also improve the scalability."

"Extracting data is a little slow."

"IBM is behind competitors like Tableau and Power BI in terms of visualization. Their visuals are less innovative and practical with fewer varieties."

"Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014. On a scale, I'd rate scalability at four, out of ten. It's difficult."

"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."

"The workspace API should be improved and documented so we know better which objects are used."

"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."

"The local authentication part is difficult to manage in the product, making it an area where improvements are required."

More IBM Planning Analytics cons

Pricing and Cost Advice

"The tool is open-source."

"The licensing costs for Anaconda are reasonable."

"The product is open-source and free to use."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"IBM Planning Analytics is priced well, and licensing costs are yearly."

"IBM Planning Analytics is not the cheapest solution, but it's priced per the market standard for this type of solution. I rate the price at seven out of ten."

"It is a bit expensive, but you get what you are paying for."

"Our licensing cost is approximately $50,000.00 per year."

"The license of this solution is paid annually. Most of my customers choose a license that includes support."

"I would rate the tool's pricing a nine out of ten since it's expensive."

"Compared with the other tools in the market, IBM Planning Analytics is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

University

Computer Software Company

Financial Services Firm

17%

Manufacturing Company

11%

Retailer

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

See all answers

What needs improvement with Anaconda?

There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.

See all answers

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 where all data are centralized.

See all answers

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. Comparatively, IBM rates may be better than those of competitors, such as Hyperion ( /pro...

See all answers

What needs improvement with IBM Planning Analytics?

IBM is behind competitors like Tableau ( /products/tableau-reviews ) and Power BI in terms of visualization. Their visuals are less innovative and practical with fewer varieties. IBM's visualizatio...

See all answers

Comparisons

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Compared 10% of the time

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Compared 7% of the time

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Compared 23% of the time

SAP Analytics Cloud vs IBM Planning Analytics

Compared 17% of the time

Anaplan vs IBM Planning Analytics

Compared 10% of the time

Jedox vs IBM Planning Analytics

Compared 7% of the time

IBM Cognos vs IBM Planning Analytics

Compared 7% of the time

More IBM Planning Analytics Competitors

Product Reports

Buyer's Guide

Anaconda Business

August 2025

Download Anaconda Business product report

Buyer's Guide

IBM Planning Analytics

August 2025

Download IBM Planning Analytics product report

Also Known As

No data available

Cognos TM1, IBM Cognos TM1

Overview

Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.

Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.

What are the key features of Anaconda Business?

Extensive Library Support: Access numerous libraries for enhanced development capabilities.
Seamless Python and R Integration: Foster productivity through combined language support.
Cloud-Based Access: Facilitate collaboration and accessibility across teams.
Jupyter Notebook Integration: Enable real-time code execution and debugging.
Conda Environment Management: Simplify setup and management of environments.

What benefits should be considered in Anaconda Business?

Efficient Development: Streamline workflows with comprehensive tool integration.
Enhanced Collaboration: Utilize cloud-based tools for teamwork and data sharing.
Scalability: Adapt to growing workloads with robust capabilities.
Community Support: Leverage community expertise for solutions and troubleshooting.

Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.

Anaconda

IBM Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows.

Built on TM1, IBM’s powerful calculation engine, this enterprise performance management tool allows you to transcend the limits of manual planning and become the Analytics Hero your business needs. Quickly and easily drive faster, more accurate plans for FP&A, sales, supply chain and beyond.

IBM

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

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

Buyer's Guide

Data Science Platforms

August 2025

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