{"id":6554,"date":"2021-06-21T15:07:50","date_gmt":"2021-06-21T19:07:50","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=6554"},"modified":"2021-06-21T15:17:54","modified_gmt":"2021-06-21T19:17:54","slug":"solutions-reviews-vendors-to-know-in-data-science-platforms-2021","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/solutions-reviews-vendors-to-know-in-data-science-platforms-2021\/","title":{"rendered":"Solutions Review’s Vendors to Know in Data Science Platforms, 2021"},"content":{"rendered":"

\"2021<\/p>\n

Solutions Review’s annual Vendors to Know in Data Science<\/a><\/span> Platforms provides the details on some of the most critical solution providers in the space.<\/strong><\/em><\/p>\n

The editors at Solutions Review continually research the most prominent and influential data science vendors to assist buyers in search of the tools befitting the needs of their organization. Choosing the right vendor and solution can be a complicated process; it requires constant market research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we listed the vendors to know in data science platforms.<\/span><\/p>\n

Note:<\/strong> Companies are listed in alphabetical order.<\/p>\n

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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n

Vendors to Know in Data Science Platforms, 2021<\/strong><\/h2>\n
<\/div>\n

Altair<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

Altair (formerly Datawatch) offers a suite of solutions through its Knowledge Works portfolio and is headlined by an advanced data mining and predictive analytics workbench called Knowledge Studio. The product features patented Decision Trees, Strategy Trees, and a workflow and wizard-driven graphical user interface. It also includes capabilities for data preparation tasks, visual data profiling, advanced predictive modeling, and in-database analytics. Users can import and export using common languages like R and Python, as well as data types like SAS, RDBMS, CSV, Excel, and SPSS.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Alteryx<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

Alteryx offers data science and machine learning functionality<\/span><\/span>\u00a0via<\/span><\/span>\u00a0a suite of\u00a0<\/span><\/span>software\u00a0<\/span><\/span>products<\/span><\/span>. Headlined by Alteryx Designer which automates data preparation, data blending, reporting, predictive analytics, and data science, the self-service platform touts more than 260 drag-and-drop building blocks. Alteryx lets users see variable relationships and distributions quickly,<\/span><\/span>\u00a0as well as<\/span><\/span>\u00a0select and compare algorithm performance with ease.<\/span><\/span>\u00a0No coding is required while the software can be deployed in the cloud, behind your own firewall, or in a hosted environment.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Anaconda<\/strong><\/a><\/h3>\n

\"Anaconda<\/a><\/p>\n

Anaconda offers its data science and machine learning capabilities via a number of different product editions. Its flagship product is Anaconda Enterprise, an open-source Python and R-focused platform. The tool enables you to perform data science and machine learning on Linux, Windows, and Mac OS. Anaconda allows users to download more than 1,500 Python and R data science packages, manage libraries, dependencies, and environments, and analyze data with <\/span>Dask<\/span>, NumPy, pandas, and\u00a0<\/span>Numba<\/span>. You can then visualize results generated in Anaconda with Matplotlib, Bokeh,\u00a0<\/span>Datashader<\/span>, and\u00a0<\/span>Holoviews<\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Databricks<\/strong><\/a><\/h3>\n

\"Databricks<\/a><\/p>\n

Databricks offers a cloud and Apache Spark-based unified analytics platform that combines data engineering and data science functionality. The product leverages an array of open-source languages and includes proprietary features for operationalization, performance, and real-time enablement on Amazon Web Services. A Data Science Workspace enables users to explore data and build models collaboratively. It also provides one-click access to preconfigured ML environments for augmented machine learning with popular frameworks.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Dataiku<\/strong><\/a><\/h3>\n

\"Dataiku<\/a><\/p>\n

Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company\u2019s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku\u2019s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch. Users can then apply machine learning and data science techniques to build and deploy predictive data flows.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

DataRobot<\/strong><\/a><\/h3>\n

\"DataRobot<\/a><\/p>\n

DataRobot<\/span> offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service.\u00a0<\/span>DataRobot<\/span>\u00a0includes\u00a0<\/span><\/span>several<\/span><\/span>\u00a0independent but fully integrated tools (<\/span><\/span>Paxata<\/span>\u00a0Data Preparation,\u00a0<\/span><\/span>Automated Machine Learning, Automated Time Series,\u00a0<\/span>MLOps<\/span><\/span>, and AI applications<\/span><\/span>), and each can be deployed in multiple ways to match business needs and IT requirements.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Domino Data Lab<\/strong><\/a><\/h3>\n

\"Domino<\/a><\/p>\n

Domino Data Lab offers an enterprise data science platform that allows data scientists to build and run predictive models. The product helps organizations with the development and delivery of these models via infrastructure automation and collaboration. Domino provides users access to a data science Workbench that provides open source and commercial tools for batch experiments, as well as Model Delivery so they can publish APIs and web apps or schedule reports.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Google<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

Google Cloud AI offers one of the largest machine learning stacks in the space and offers an expanding list of products for a variety of use cases. The product is fully managed and offers excellent governance with interpretable models. Key features include a built-in Data Labeling Service, <\/span>AutoML<\/span>, model validation via AI Explanations, a What-If Tool which helps you understand model outputs, cloud model deployment with Prediction, and\u00a0<\/span>MLOps<\/span>\u00a0via the Pipeline tool.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

H2O.ai<\/strong><\/a><\/h3>\n

\"H2O.ai<\/a><\/p>\n

H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear <\/span><\/span>scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O has also developed\u00a0<\/span>AutoML<\/span>\u00a0functionality that automatically runs through all the algorithms to produce a leaderboard of the best models.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

IBM<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

IBM Watson Studio enables users to build, run, and manage AI models at scale across any cloud. The product is a part of IBM Cloud Pak for Data, the company\u2019s main data and AI platform. The solution lets you automate AI lifecycle management, govern and secure open-source notebooks, prepare and build models visually, deploy and run models through one-click integration, and manage and monitor models with explainable AI. IBM Watson Studio offers a flexible architecture that allows users to utilize open-source frameworks like\u00a0<\/span>PyTorch<\/span>, TensorFlow, and scikit-learn.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

KNIME<\/strong><\/a><\/h3>\n

\"KNIME<\/a><\/p>\n

KNIME Analytics is an open-source platform for creating data science. It enables the creation of visual workflows via a drag-and-drop-style graphical interface that requires no coding. Users can choose from more than 2000 nodes to build workflows, model each step of analysis, control the flow of data, and ensure work is current. KNIME can blend data from any source and shape data to derive statistics, clean data, and extract and select features. The product leverages AI and machine learning and can visualize data with classic and advanced charts.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

MathWorks<\/strong><\/a><\/h3>\n

\"MathWorks<\/a><\/p>\n

MathWorks MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, tested, and fully documented. MATLAB apps let you see how different algorithms work with your data as well.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

Microsoft<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

The Azure Machine Learning service lets developers and data scientists build, train, and deploy machine learning models. The product features productivity for all skill levels via a code-first and drag-and-drop designer, and automated machine learning. It also features expansive <\/span>MLops<\/span>\u00a0capabilities that integrate with existing DevOps processes. The service touts responsible machine learning so users can understand models with interpretability and fairness, as well as protect data with differential privacy and confidential computing. Azure Machine Learning supports open-source frameworks and languages like\u00a0<\/span>MLflow<\/span>, Kubeflow, ONNX,\u00a0<\/span>PyTorch<\/span>, TensorFlow, Python, and R.<\/span><\/span>\u00a0<\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

RapidMiner<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists need<\/span><\/span>but simplifies AI for everyone else via a visual user interface that streamlines the process of building and understanding complex models.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

SAS<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

SAS offers a suite of advanced analytics and data science products<\/span><\/span>\u00a0which is headlined by SAS<\/span><\/span>Visual Data Mining and Machine Learning<\/span><\/span>.<\/span><\/span> The product provides<\/span><\/span>\u00a0access to data in any format and from any source,\u00a0<\/span><\/span>as well as\u00a0<\/span><\/span>automated data preparation and<\/span><\/span>\u00a0data lineage and model management. SAS Visual Data Mining and Machine Learning automatically generates insights for common variables across models. It also features natural language generation for creating project<\/span><\/span>\u00a0summaries. The companion\u00a0<\/span><\/span>SAS Model Manager enables users to register SAS and open-source models within projects or as standalone models.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n

TIBCO Software<\/strong><\/a><\/h3>\n

\"\"<\/a><\/p>\n

TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features\u00a0<\/span>AutoML<\/span>, drag-and-drop workflows, and embedded\u00a0<\/span>Jupyter<\/span>\u00a0Notebooks for sharing reusable modules. Users can run workflows on TIBCO\u2019s Spotfire Analytics and leverage TensorFlow, SageMaker,\u00a0<\/span>Rekognition<\/span>\u00a0and Cognitive Services to orchestrate open source.<\/span><\/span><\/p>\n

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms<\/em><\/a><\/strong><\/span>.<\/div>\n
<\/div>\n
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\"\"<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Solutions Review’s annual Vendors to Know in Data Science Platforms provides the details on some of the most critical solution providers in the space. The editors at Solutions Review continually research the most prominent and influential data science vendors to assist buyers in search of the tools befitting the needs of their organization. Choosing the […]<\/p>\n","protected":false},"author":23,"featured_media":6555,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1404,1620],"acf":[],"yoast_head":"\nSolutions Review's Vendors to Know in Data Science Platforms, 2021<\/title>\n<meta name=\"description\" content=\"Solutions Review's annual Vendors to Know in Data Science Platforms provides the details on some of the most critical solution providers in the space.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/solutions-reviews-vendors-to-know-in-data-science-platforms-2021\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/solutions-reviews-vendors-to-know-in-data-science-platforms-2021\/\",\"url\":\"https:\/\/solutionsreview.com\/business-intelligence\/solutions-reviews-vendors-to-know-in-data-science-platforms-2021\/\",\"name\":\"Solutions Review's Vendors to Know in Data Science Platforms, 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