Compare Databricks vs. IBM SPSS Modeler

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Databricks Logo
26,662 views|22,400 comparisons
IBM SPSS Modeler Logo
8,150 views|6,422 comparisons
Most Helpful Review
Find out what your peers are saying about Databricks vs. IBM SPSS Modeler and other solutions. Updated: July 2021.
521,189 professionals have used our research since 2012.
Quotes From Members

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

Pros
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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"Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.""The supervised models are valuable. It is also very organized and easy to use."

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Cons
"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""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.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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"Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

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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."

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"$5,000 annually.""This tool, being an IBM product, is pretty expensive.""Its price is okay for a company, but for personal use, it is considered somewhat expensive."

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Questions from the Community
Top Answer: The initial setup is pretty easy.
Top Answer: I can't speak on pricing of the solution. It's not an aspect of the solution I deal with directly.
Top Answer: The product is quite ambitious. It's trying to become a centralized platform for all data ingestion, transformation, and analytics needs. It may encounter a stiff competition from best of breed… more »
Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
Top Answer: The supervised models are valuable. It is also very organized and easy to use.
Top Answer: Its price is okay for a company, but for personal use, it is considered somewhat expensive.
Ranking
2nd
Views
26,662
Comparisons
22,400
Reviews
22
Average Words per Review
571
Rating
8.1
8th
Views
8,150
Comparisons
6,422
Reviews
5
Average Words per Review
501
Rating
8.4
Popular Comparisons
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
SPSS Modeler
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Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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https://www.ibm.com/products/spss-modeler/pricing
 
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Learn more about Databricks
Learn more about IBM SPSS Modeler
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
Top Industries
REVIEWERS
Financial Services Firm25%
Energy/Utilities Company13%
Consumer Goods Company13%
Retailer13%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider15%
Financial Services Firm7%
Media Company6%
REVIEWERS
University23%
Financial Services Firm15%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company19%
Educational Organization8%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business14%
Midsize Enterprise23%
Large Enterprise64%
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise22%
Large Enterprise65%
REVIEWERS
Small Business24%
Midsize Enterprise6%
Large Enterprise71%
Find out what your peers are saying about Databricks vs. IBM SPSS Modeler and other solutions. Updated: July 2021.
521,189 professionals have used our research since 2012.

Databricks is ranked 2nd in Data Science Platforms with 22 reviews while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. Databricks is rated 8.0, while IBM SPSS Modeler is rated 8.4. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas IBM SPSS Modeler is most compared with IBM SPSS Statistics, Alteryx, KNIME, IBM Watson Studio and Amazon SageMaker. See our Databricks vs. IBM SPSS Modeler report.

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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.