Dataiku DSS Alternatives & Competitors
(27)4.2 out of 5
Looking for alternatives to Dataiku DSS? Tons of people want Data Science and Machine Learning Platforms to help with reports interface, data discovery, and search. We have compiled a list of Data Science and Machine Learning Platforms that reviewers voted best overall compared to Dataiku DSS. Based on reviewer data you can see how Dataiku DSS stacks up to the competition, check reviews from current & previous users, and find the best fit for your business. Alteryx, DataRobot, RapidMiner, and KNIME Analytics Platform are the most popular alternatives and competitors to Dataiku DSS.
Top Alternatives to Dataiku DSS
- Alteryx
- DataRobot
- RapidMiner
- KNIME Analytics Platform
- Amazon SageMaker
- MATLAB
- RStudio
- H2O
- Alteryx(142)4.5 out of 5
Alteryx provides Strategic Analytics & Agile BI for companies making strategic business decisions using a variety of data sources. Data artisans unite.
Categories in common with Dataiku DSS: - DataRobot(11)4.4 out of 5
DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a less time than it used to take.
Categories in common with Dataiku DSS: - RapidMiner(472)4.6 out of 5
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
Categories in common with Dataiku DSS: - KNIME Analytics Platform(37)4.4 out of 5
KNIME® is an open source data analytics, reporting and integration platform.
Categories in common with Dataiku DSS: - Amazon SageMaker(21)4.2 out of 5
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Categories in common with Dataiku DSS: - MATLAB(556)4.5 out of 5
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
Categories in common with Dataiku DSS: - RStudio(504)4.5 out of 5
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
Categories in common with Dataiku DSS: - H2O(22)4.5 out of 5Optimized for quick response
H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.
Categories in common with Dataiku DSS: - Qubole(255)4.0 out of 5Optimized for quick response
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
Categories in common with Dataiku DSS: - Azure Machine Learning Studio(47)4.2 out of 5
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
Categories in common with Dataiku DSS: - IBM SPSS Modeler(129)3.9 out of 5Optimized for quick response
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.
Categories in common with Dataiku DSS: - Google Cloud AutoML(21)4.1 out of 5
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology
Categories in common with Dataiku DSS: - IBM Watson Machine Learning(51)4.1 out of 5
Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence.
Categories in common with Dataiku DSS: - Google Cloud AI Platform(82)4.3 out of 5
Google Cloud AI Platform is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
Categories in common with Dataiku DSS: - IBM Cloud Pak for Data(40)4.3 out of 5Optimized for quick response
Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.
Categories in common with Dataiku DSS: - IBM Watson Studio(85)4.1 out of 5Optimized for quick response
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. IBM Watson Studio" webpage can be found at https://www.ibm.com/cloud/watson-studio and the desktop version at https://www.ibm.com/products/watson-studio-desktop and the premium version at https://www.ibm.com/cloud/watson-studio/premium
Categories in common with Dataiku DSS: - BigML(22)4.7 out of 5
Enjoy the power of Programmatic Machine Learning
Categories in common with Dataiku DSS: - SAS Enterprise Miner(15)4.4 out of 5
SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.
Categories in common with Dataiku DSS: - Dash(30)4.8 out of 5
Dash is the trusted solution for operationalizing Python and R models and is the fastest way to build interactive analytic apps. Dash empowers data science teams to focus on the data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash.
Categories in common with Dataiku DSS: - TensorFlow(44)4.5 out of 5
TensorFlow is an open source software library for numerical computation using data flow graphs.
Categories in common with Dataiku DSS:
#1
Reviewers say compared to Dataiku DSS, Alteryx is:
Easier to set up
Easier to admin
Easier to do business with
#2
UH
i've used for predictive analysis and the ability to implement machine learning is the best
Reviewers say compared to Dataiku DSS, DataRobot is:
Easier to do business with
Better at meeting requirements
Better at support
#3
LM
Implementing ML algorithms is a difficult business. Rapid Miner makes it easy to load your data, check your data for missing values, erroneous values, and correct them - and to implement both...Read more
Reviewers say compared to Dataiku DSS, RapidMiner is:
Easier to set up
Easier to admin
Easier to do business with
#4
DM
KNIME desktop is a powerful tool to create analytical workflows and is extremely helpful for the visual interface. It comes with multiple extensions which simplify text processing, which is a very...Read more
Reviewers say compared to Dataiku DSS, KNIME Analytics Platform is:
Easier to set up
Easier to admin
Better at support
#5
JT
Sagemaker lets you build, train and deploy your models all in one place. I like how it lets you choose different machine types for each phase of development so no resources are wasted. Sagemaker...Read more
Reviewers say compared to Dataiku DSS, Amazon SageMaker is:
Easier to set up
Easier to do business with
Easier to admin
#6
RG
1) Large library of in-built functions
2) An open exchange for user community to address and resolve coding questions
Reviewers say compared to Dataiku DSS, MATLAB is:
Easier to set up
Easier to admin
Better at meeting requirements
#7
CM
Graphics are more accessible in R Studio for the beginner.
Reviewers say compared to Dataiku DSS, RStudio is:
Easier to set up
Easier to admin
Better at meeting requirements
#8
BS
The ability to try out multiple models with a few lines of the code is the greatest benefit
Reviewers say compared to Dataiku DSS, H2O is:
Easier to set up
Easier to admin
Better at support
#9
UT
Love the exquisite technology presented by Qubole, the products really meet the global standards.
Reviewers say compared to Dataiku DSS, Qubole is:
Easier to set up
Easier to admin
#10
UI
The best thing about this tool is Drag and Drop with Flow chart like diagram service. It provides best infrastructure to code with No code policy. You also can visualize the Actual Flow of Training...Read more
Reviewers say compared to Dataiku DSS, Azure Machine Learning Studio is:
Easier to set up
Better at support
Easier to admin
#11
UH
Can get the useful insights and predictions in very less period of time.Drag and Drop options allow us to implement models faster and to evaluate models performance and model fitting in very less...Read more
Reviewers say compared to Dataiku DSS, IBM SPSS Modeler is:
Easier to set up
More expensive
Easier to admin
#12
GD
Ease of use and ability to hire interns to tag photos so senior staff can focus on tech.
Reviewers say compared to Dataiku DSS, Google Cloud AutoML is:
Easier to set up
Easier to admin
Easier to do business with
#13
GM
The easy way to understand the product.
Reviewers say compared to Dataiku DSS, IBM Watson Machine Learning is:
Easier to set up
Better at support
Easier to admin
#14
GH
can build, test , compare , neural nets at scale native to the platform - reducing time to market
Reviewers say compared to Dataiku DSS, Google Cloud AI Platform is:
Easier to set up
Easier to admin
More expensive
#15
IC
IBM is a trusted partner to international businesses, providing machines to support cross-continental data compute. Having said that, IBM allows me to control my data while providing support for...Read more
Reviewers say compared to Dataiku DSS, IBM Cloud Pak for Data is:
Better at support
Easier to admin
Easier to set up
#16
AA
Quick and easy deployment capability for machine learning and data science solutions. APIs helpful in image and speech recognition,insights, text identification etc. Estimator validation is very...Read more
Reviewers say compared to Dataiku DSS, IBM Watson Studio is:
Easier to set up
Easier to admin
More expensive
#17
BS
I really like that it provides service as a REST API. It is so fast and efficient that I always rely on it for all of the products I develop.
Reviewers say compared to Dataiku DSS, BigML is:
Easier to set up
Easier to admin
Better at support
#18
UG
Excellent and easy to use SAS software for data mining. Intuitive analytical a product that is perfect for any analyst!
Reviewers say compared to Dataiku DSS, SAS Enterprise Miner is:
More expensive
Better at meeting requirements
#19
GM
If you're an R or Python programmer, you can develop and deploy interactive Web analytics and Data Science applications and dashboards without having to know Javascript, CSS, HTML
Reviewers say compared to Dataiku DSS, Dash is:
Easier to set up
Easier to admin
Easier to do business with
#20
UR
Useful in all stages of development and production as well as most types of research work. It also gathers extensive pre-built and pre-trained systems and allows high level and low level access to...Read more
Reviewers say compared to Dataiku DSS, TensorFlow is:
Better at meeting requirements
Easier to set up
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