Databricks Lakehouse Platform vs IBM SPSS Modeler

Likelihood to Recommend

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.

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Ben Holmes

Senior Data Scientist

Arkansas Blue Cross Blue ShieldInsurance, 1001-5000 employees

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Pros

It supports all data science programming languages like Python and R
it takes very few minutes to deploy models into production
it has tools that ensures collaborations between developers

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Kofi Joshua

Machine Learning And Deep Learning Mentee

Runmila AI InstituteEducation Management, 201-500 employees

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Combine text and data
Provide facilities for all phases of the data mining process.
Use a node and stream paradigm to easily and quickly create models.

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Tim Daciuk

Director, Advanced Analytics

SmartSimple Software IncComputer Software, 51-200 employees

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Cons

Better Localized Testing
When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
Graphing Support went non-existent; when it was one of their compelling general engine.

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Verified User

Director in Information Technology

Financial Services Company, 201-500 employees

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Has very old style graphs, with lots of limitations.
Some advanced statistical functions cannot be done through the menu.
The data connectivity is not that extensive.
It's an expensive tool.

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Akos Krommer, CISA, ACDA

Solution Specialist (Data Analytics)

Revival Europe Ltd.Computer Software, 51-200 employees

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Likelihood to Renew

No score

No answers yet

No answers on this topic

IBM SPSS Modeler 10.0

Based on 1 answer

because it is an excellent software

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Olayinka Awoyemi

Statistician

ManitobaInsurance, 501-1000 employees

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Usability

Databricks Lakehouse Platform 9.0

Based on 1 answer

This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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IBM SPSS Modeler 10.0

Based on 1 answer

Easy to use

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Olayinka Awoyemi

Statistician

ManitobaInsurance, 501-1000 employees

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Support Rating

No score

No answers yet

No answers on this topic

IBM SPSS Modeler 10.0

Based on 3 answers

The online support board is helpful and the free add ons are incredibly appreciated.

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Char Paul

Psych n Stats Tutor

Self-employedE-Learning, 1-10 employees

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Implementation Rating

No score

No answers yet

No answers on this topic

IBM SPSS Modeler 8.0

Based on 2 answers

Everything seems to went on according to plan

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Olayinka Awoyemi

Statistician

ManitobaInsurance, 501-1000 employees

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Alternatives Considered

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.

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Ann Le

Freelance Translator

ZOO Digital Group plcEntertainment, 501-1000 employees

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When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.

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Jesús Quintana

Gerente de Ventas Sector Gobierno

INFÓRMESEGovernment Relations, 11-50 employees

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Return on Investment

Rapid growth of analytics within our company.
Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
Platform is easy to learn and Databricks provides excellent support and training.
Platform does not require a large DevOPs investment

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Verified User

Strategist in Engineering

Computer Hardware Company, 10,001+ employees

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Positive - Ease of decision making and reduction in product life cycle time.
Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.

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Himanshu Singh

Product Manager

Conduira Education & Training Services Pvt Ltd (ConduiraOnline)Internet, 11-50 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Databricks Lakehouse Platform Editions & Modules

Edition

Standard	$0.07¹
Premium	$0.10¹
Enterprise	$0.13¹

Per DBU

Additional Pricing Details

—

General

Free Trial

Yes

Free/Freemium Version

—

Premium Consulting/Integration Services

Yes

Entry-level set up fee?

Optional

IBM SPSS Modeler Editions & Modules

Edition

IBM SPSS Modeler Personal	$4,670¹
IBM SPSS Modeler Professional	$7,000¹
IBM SPSS Modeler Premium	$11,600¹
IBM SPSS Modeler Gold	contact IBM¹

per year

Additional Pricing Details

IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.

Databricks Lakehouse Platform vs IBM SPSS Modeler