Top Dataiku Alternatives & Competitors 2026

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Alteryx One Platform

4.4

This platform has been a strong addition to our analytics and data presentation workflow. It significantly reduces the time required to clean blend , and analyse data especially for teams that won't advanced analytics without heavy Reliance on custom coding.Read all insights and reviews for Alteryx One Platform

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2. DataRobot Agent Workforce Platform

By DataRobot

4.7

(713 Ratings)

DataRobot has delivered on its promises and is supercharging our machine-learning environment. Their support team was able to help us get up and running in their comprehensive environment while setting us up for success. They continue to provide state of the art updates to their impressive product set. Read all insights and reviews for DataRobot Agent Workforce Platform

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3. Amazon SageMaker AI

By Amazon Web Services (AWS)

4.4

(699 Ratings)

Sagemaker is an excellent service especially for enterprise and regulated environments, extremely helpful to build, train, tune and deploy AI & ML models very quickly and efficiently.Read all insights and reviews for Amazon SageMaker AI

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4. MATLAB

By MathWorks

4.4

(454 Ratings)

Matlab is very powerful software for solving and graphing mathematic equations. Great use for linear programming and algorithmic equations. It presents data via the GUI graphing plots and matrixes Read all insights and reviews for MATLAB

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5. Altair RapidMiner

By Siemens (Altair)

4.5

(421 Ratings)

My experience with Rapid Altair Rapid Miner has been positive overall. The platform is intuitive, with drag and drop functionality that makes building and deployment easy - even for non-coders. Auto ML Feature accelerates deployment and integration with data sources and smooth.Read all insights and reviews for Altair RapidMiner

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6. IBM SPSS Statistics

By IBM

4.4

(335 Ratings)

IBM SPSS is a great tool for beginners in modelling. It's simple and easy to learn. Read all insights and reviews for IBM SPSS Statistics

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7. Databricks Data Intelligence Platform

By Databricks

4.5

(313 Ratings)

My organization up until just before 2021 was by and large an on premise shop. So most of our ETL tools, reporting and business intelligence tech stack was all based on premise. That all changed in the last few years as there has been a major shift towards embracing more of what cloud providers can enable our organization. Our journey began with Azure and talking about reporting, data science, machine learning and ELT/ETL you have to look at Azure Databricks. Databricks can seem a bit daunting at first as there is a lot of features packed into it but after using it for a month you will definitely get the hang of things and how to find things. Its definitely been a tool that has become our go-to when looking towards any sort of data integration or analysis Read all insights and reviews for Databricks Data Intelligence Platform

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8. Base SAS

By SAS

4.5

(300 Ratings)

SAS really is amazingly supportive and helpful. Over the years, I have had numerous, in-depth exchanges with technical staff looking into all sorts of solutions to unique problems with me. I am amazed at the level of detail and communication SAS allows. While many companies would just respond with boilerplate like "It doesn't do that, and we're not looking to implement that at this time." SAS actually dives into the problem, gives workarounds, hotfixes, better alternatives, and, if needed, scheduling the item for future development.Read all insights and reviews for Base SAS

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