IBM Planning Analytics vs Oracle Analytics Cloud comparison

The compared IBM and Oracle solutions aren't in the same category. IBM is ranked #4 in BPM , with an average rating of 9.2, and holds a 9.5% mindshare in the category. Oracle is ranked #9 in BIT , with an average rating of 8.2, and holds a 2.5% mindshare. Additionally, 94% of IBM users are willing to recommend the solution, compared to 78% of Oracle users who would recommend it.

IBM Planning Analytics

Read 23 IBM Planning Analytics reviews

1,947 Views
1,251 Comparison Views

94% willing to recommend

Oracle Analytics Cloud

Read 25 Oracle Analytics Cloud reviews

4,444 Views
2,552 Comparison Views

78% willing to recommend

IBM Planning Analytics

Oracle Analytics Cloud

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Executive Summary

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

Find out what your peers are saying about Anaplan, Oracle, IBM and others in Business Performance Management.

To learn more, read our detailed Business Performance Management Report (Updated: December 2024).

Buyer's Guide

Business Performance Management

December 2024

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Categories and Ranking

IBM Planning Analytics

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Business Performance Management (4th)

Oracle Analytics Cloud

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (9th), Data Visualization (6th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Planning Analytics is designed for Business Performance Management and holds a mindshare of 9.5%, up 8.7% compared to last year.
Oracle Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 2.5% mindshare, down 3.0% since last year.

Business Performance Management

BI (Business Intelligence) Tools

Featured Reviews

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.

Read full review

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

Empowers your entire organization to ask any question of any data—across any environment, on any device

The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.

Read full review

Quotes from Members

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

Pros

"It's a very stable, robust product."

"Navigating through the data to make analysis is really quick."

"The ease of use is valuable. The fact that it's plugged into Excel spreadsheets is also valuable. It provides additional functionality where you can slice and dice the information in a way that you can't do with spreadsheets"

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

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

"The tool is flexible."

"All the different platforms are well integrated."

"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."

More IBM Planning Analytics pros

"The most valuable features of the solution are dashboarding and data visualization."

"The product is easily customized."

"This is a stable and scalable solution."

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

"Oracle Analytics Cloud's most valuable feature is its visualization."

"The ability to quickly search for and access relevant data is crucial."

"It's great for consolidation and creating one source of truth."

More Oracle Analytics Cloud pros

Cons

"It is a bit expensive, but it does the job."

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

"Extracting data is a little slow."

"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 tool's transport layer could be improved when promoting development between environments."

"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."

"It would have been better if the solution was not just a tool kit."

"Planning Analytics could be improved by adding automation features."

More IBM Planning Analytics cons

"It is expensive."

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."

"When you implement the product on a small scale, it doesn't generate any ROI."

"The solution could be more flexible."

"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."

"The interfaces could be improved and some in-memory operations could be built in."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

"The implementation of generative AI and machine learning should improve"

More Oracle Analytics Cloud cons

Pricing and Cost Advice

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

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

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

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

"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."

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

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

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"I would rate it a five out of five in terms of the value received for the price charge."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"We pay on a monthly basis and it is $10 per user each month."

"The tool's pricing is not unreasonable or non-competitive."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

48%

Financial Services Firm

Computer Software Company

Manufacturing Company

Educational Organization

38%

Financial Services Firm

Computer Software Company

Government

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 where all data are centralized.

See all answers

What is your experience regarding pricing and costs for IBM Planning Analytics?

The cost of IBM Planning Analytics is not cheap, considering the amount of money involved. However, it offers good ROI for customers.

See all answers

What needs improvement with IBM Planning Analytics?

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

See all answers

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

See all answers

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

The solution is highly cost-effective and easy to customize. The pricing is quite reasonable if the long-term benefits are considered. I would rate the pricing a five out of ten. A company can depe...

See all answers

Comparisons

Microsoft Power BI vs IBM Planning Analytics

Compared 24% of the time

SAP Analytics Cloud vs IBM Planning Analytics

Compared 22% of the time

Anaplan vs IBM Planning Analytics

Compared 10% of the time

Jedox vs IBM Planning Analytics

Compared 9% of the time

Oracle Hyperion vs IBM Planning Analytics

Compared 7% of the time

More IBM Planning Analytics Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 21% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 15% of the time

Databricks vs Oracle Analytics Cloud

Compared 14% of the time

Tableau vs Oracle Analytics Cloud

Compared 12% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 11% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

IBM Planning Analytics

December 2024

Download IBM Planning Analytics product report

Buyer's Guide

Oracle Analytics Cloud

December 2024

Download Oracle Analytics Cloud product report

Also Known As

Cognos TM1, IBM Cognos TM1

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

Learn More

IBM

Oracle

Overview

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.

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

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

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December 2024

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