Databricks vs IBM Planning Analytics comparison

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28,975 views|18,474 comparisons
96% willing to recommend
IBM Logo
2,270 views|1,328 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
768,886 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities.""In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance.""The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks.""Ability to work collaboratively without having to worry about the infrastructure.""I like cloud scalability and data access for any type of user.""The initial setup phase of Databricks was good.""The most valuable feature is the ability to use SQL directly with Databricks.""The load distribution capabilities are good, and you can perform data processing tasks very quickly."

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"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 product's stability is good.""Navigating through the data to make analysis is really quick.""The most valuable feature is that it is able to slice and dice the data.""All the different platforms are well integrated.""It's a very stable, robust product.""The tool is flexible.""IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."

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Cons
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data.""The product cannot be integrated with a popular coding IDE.""It's not easy to use, and they need a better UI.""The integration features could be more interesting, more involved.""The pricing of Databricks could be cheaper.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""This solution only supports queries in SQL and Python, which is a bit limiting.""It would be great if Databricks could integrate all the cloud platforms."

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"The dashboard is very poor and needs a lot of improvement.""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.""Planning Analytics could be improved by adding automation features.""It would have been better if the solution was not just a tool kit.""It is a bit expensive, but it does the job.""The tool should include features for prediction. It can also improve the scalability.""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.""It's wonky, and not super user-friendly with Excel."

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Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "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."
  • "It is a bit expensive, but you get what you are paying for."
  • "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."
  • "I would rate the tool's pricing a nine out of ten since it's expensive."
  • "IBM Planning Analytics is priced well, and licensing costs are yearly."
  • "Compared with the other tools in the market, IBM Planning Analytics is a bit expensive."
  • More IBM Planning Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer:The licensing part of the product is good. Every year, there is a need to renew the license. My company also uses multiple functionalities offered under IBM Cognos Analytics for ETL-related purposes… more »
    Top Answer:The local authentication part is difficult to manage in the product, making it an area where improvements are required.
    Ranking
    1st
    Views
    28,975
    Comparisons
    18,474
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    2,270
    Comparisons
    1,328
    Reviews
    4
    Average Words per Review
    325
    Rating
    9.3
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Cognos TM1, IBM Cognos TM1
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    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.

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    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
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Computer Software Company25%
    Real Estate/Law Firm13%
    Leisure / Travel Company13%
    Hospitality Company13%
    VISITORS READING REVIEWS
    Educational Organization43%
    Financial Services Firm10%
    Computer Software Company7%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business58%
    Midsize Enterprise17%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise47%
    Large Enterprise43%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,886 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM Planning Analytics is ranked 6th in Business Performance Management with 21 reviews. Databricks is rated 8.2, while IBM Planning Analytics is rated 8.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of IBM Planning Analytics writes "Can easily create dashboards and helps businesses improve forecasting accuracy". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas IBM Planning Analytics is most compared with SAP Analytics Cloud, Microsoft Power BI, Anaplan, Jedox and Oracle HFM.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.