Alteryx (NYSE: AYX) provides a data science and analytics automation platform. The platform helps businesses of all sizes to automate their data preparation, analysis, and modeling tasks. It serves industries such as healthcare, manufacturing, oil and gas, and more. The company was founded in 1997 and is based in Irvine, California.
Research containing Alteryx
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Alteryx in 1 CB Insights research brief, most recently on Feb 14, 2023.
Expert Collections containing Alteryx
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Alteryx is included in 2 Expert Collections, including Market Research & Consumer Insights.
Market Research & Consumer Insights
This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.
Alteryx has filed 18 patents.
Data management, Software design patterns, Big data, Business intelligence, Parallel computing
Data management, Software design patterns, Big data, Business intelligence, Parallel computing
Latest Alteryx News
Sep 29, 2023
By Tim King , Executive Editor at Solutions Review Solutions Review’s listing of the best enterprise data mining tools and software is an annual mashup of products that best represent current market conditions, according to the crowd. Our editors selected the best enterprise data mining tools and software based on each solution’s Authority Score; a meta-analysis of real user sentiment through the web’s most trusted business software review sites and our own proprietary five-point inclusion criteria. The editors at Solutions Review have developed this resource to assist buyers in search of the best enterprise data mining tools and software to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best enterprise data mining tools and software providers all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action. Note: The best enterprise data mining tools and software are listed in alphabetical order. The Best Enterprise Data Mining Tools & Software [hr style=”single”] Related products: Altair Knowledge Studio, Altair Altair SmartWorks, Altair Analytics Workbench, Altair Analytics Compiler Description: Altair offers a suite of machine learning and AI solutions through its data analytics portfolio. Designed for people with different skill sets, the portfolio delivers transparency and automation with features such as AutoML and Explainable AI and streamlines model building so more time can be spent analyzing and results can be trusted. The flexible no-code approach doesn’t restrict how models are configured and tuned, giving users control over model building. With support for common SAS language, R, Python and engines, users can integrate new models built using Altair into existing analytics infrastructure. [hr style=”single”] Related products: Alteryx Designer, Alteryx Intelligence Suite, Alteryx Server, Alteryx Connect, Alteryx Promote Description: Alteryx offers data science and machine learning functionality via a suite of software products. 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, as well as select and compare algorithm performance with ease. No coding is required while the software can be deployed in the cloud, behind your own firewall, or in a hosted environment. [hr style=”single”] Platform: Dataiku Data Science Studio (DSS) Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s 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. [hr style=”single”] Related products: Azure Data Factory, Azure Data Catalog, Azure HDInsight, Azure Databricks, Azure DevOps, Power BI Description: 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 MLops capabilities 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 MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R. [hr style=”single”] Related products: RapidMiner AI Hub, RapidMiner Go, RapidMiner Notebooks, RapidMiner AI Cloud Description: 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 needbut simplifies AI for everyone else via a visual user interface that streamlines the process of building and understanding complex models. [hr style=”single”] Platform: SAS Visual Data Mining and Machine Learning Related products: SAS Viya, SAS Visual Machine Learning, SAS Visual Data Science, SAS Data Science Programming, SAS Visual Data Decisioning Description: SAS offers a suite of advanced analytics and data science products which is headlined by SASVisual Data Mining and Machine Learning. The product provides access to data in any format and from any source, as well as automated data preparation and data 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 summaries. The companion SAS Model Manager enables users to register SAS and open-source models within projects or as standalone models. [hr style=”single”]
Alteryx Frequently Asked Questions (FAQ)
When was Alteryx founded?
Alteryx was founded in 1997.
Where is Alteryx's headquarters?
Alteryx's headquarters is located at 17200 Laguna Canyon Road, Irvine.
What is Alteryx's latest funding round?
Alteryx's latest funding round is PIPE.
How much did Alteryx raise?
Alteryx raised a total of $163M.
Who are the investors of Alteryx?
Investors of Alteryx include BDO USA, Insight Partners, Meritech Capital Partners, ICONIQ Capital, Sapphire Ventures and 3 more.
Who are Alteryx's competitors?
Competitors of Alteryx include Simularge, Local Logic, Mindbridge, 1010data, Talend, Dataiku, Synatic, Jiva.ai, Datrics, Pecan and 22 more.
Compare Alteryx to Competitors
DataRobot operates as an artificial intelligence (AI) lifecycle platform with ecosystem integrations. It offers solutions such as augmented intelligence, data engineering, machine learning, artificial intelligence, and more and serves the banking, healthcare, retail, manufacturing, and public sectors. The company was founded in 2012 and is based in Boston, Massachusetts.
Dataiku develops a centralized data platform to help businesses in their data journey from analytics at scale to enterprise artificial intelligence (AI). Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunication sector, and more. It was founded in 2013 and is based in New York, New York.
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