Databricks Lakehouse Platform vs Dataiku DSS

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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I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.

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Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 employees

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Feature Rating Comparison

Databricks Lakehouse Platform

Dataiku DSS

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Databricks Lakehouse Platform

Dataiku DSS

Visualization

Interactive Data Analysis

Databricks Lakehouse Platform

Dataiku DSS

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Databricks Lakehouse Platform

Dataiku DSS

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Databricks Lakehouse Platform

Dataiku DSS

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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Low-code platform.
Open source version includes most valuable modules.
User friendly documentation.

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Verified User

Engineer in Corporate

Oil & Energy 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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The visualization feature of flow still has a lot room to improve, when the flow is complex.
The "non-coding" template/building block for deep learning lack of many important configurable parameters.
Lack of the unified way to allow applying the "design pattern" on the Python codes (if we want to develop our own module or building blocks.

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Verified User

Strategist in Information Technology

Package/Freight Delivery 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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Dataiku DSS 10.0

Based on 1 answer

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

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Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 employees

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Support Rating

No score

No answers yet

No answers on this topic

Dataiku DSS 9.0

Based on 3 answers

The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

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Verified User

Engineer in Corporate

Oil & Energy 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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Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

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Verified User

Strategist in Information Technology

Package/Freight Delivery 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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So far it has had a positive impact. Multiple departments are coming to us with their business problems.
I can't specifically say about ROI as I'm a developer, though I have heard this solution is economical compared to other AI/ML enterprise tools.
By using this tool, my client has let go of software that was used earlier, and we have created a simpler framework to replace that software.

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Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 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

—

Entry-level set up fee?

No

Dataiku DSS Editions & Modules

Edition

Discover	Contact sales team
Business	Contact sales team
Enterprise	Contact sales team

Additional Pricing Details

—

Rating Summary

Databricks Lakehouse Platform

Dataiku DSS

Databricks Lakehouse Platform

Dataiku DSS

Databricks Lakehouse Platform

Dataiku DSS

Likelihood to Recommend