Databricks Lakehouse Platform vs IBM CPLEX Optimization Studio

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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It is well suited for solving large-sized, mixed-integer, and integer programming problems. Now, the new version supports for Multi-Objective optimization along with some new algorithms such as Benders Decomposition. It is less appropriate for quadratic programming problems where the objective function is the product of multiple variables. However, it's very easy to code any problem.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ employees

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Feature Rating Comparison

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Visualization

Interactive Data Analysis

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Flexible Model Publishing Options

Security, Governance, and Cost Controls

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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Integer programming.
Mixed integer programming.
Quadratic programming.
Multi-objective optimization.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ 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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Data handling from different sources like Note Pad, etc.
Large size of MILP problems.
Various parameters to set.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ 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 CPLEX Optimization Studio 9.0

Based on 1 answer

It's nice to use and with good optimization.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ employees

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Support Rating

No score

No answers yet

No answers on this topic

IBM CPLEX Optimization Studio 7.0

Based on 1 answer

Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ 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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Compared with MATLAB, CPLEX is a more user-friendly and simpler structure for writing models. This one also has a good return on investment.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ 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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Better for price.
Many model parameters/features.
No visualization.

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Verified User

Professional in Engineering

Higher Education Company, 10,001+ 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

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

IBM CPLEX Optimization Studio Editions & Modules

Edition

Developer Subscription	$199.00¹

Per User Per Month

Additional Pricing Details

—

Rating Summary

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Databricks Lakehouse Platform

IBM CPLEX Optimization Studio

Likelihood to Recommend