Alteryx is an American computer software company that provides an end-to-end data analytics platform and solutions for data preparation, blending, and analysis. In this article, we discuss the top Alteryx Competitors and Alternatives.
Alteryx is a powerful data analytics platform that empowers individuals and teams to access, prep, blend, and analyze their data effortlessly.
With its user-friendly interface and extensive suite of tools, Alteryx makes it easy for users of all skill levels to extract valuable insights from their data. From data preparation and cleansing to advanced predictive modeling and spatial analysis, Alteryx provides a comprehensive solution that simplifies complex data tasks.
One of the critical differentiators of enterprise software from its competitors and alternatives to Alteryx is its ability to handle large and diverse datasets. Whether structured data from databases, unstructured data from social media platforms, or spatial data from GPS devices, Alteryx can process and integrate data from various sources. Additionally, Alteryx offers a wide range of pre-built tools and connectors, allowing users to seamlessly connect to popular data sources and perform complex analyses without writing complex code.
- Product Type: Data analytics platform
- Industry: Computer software
- Founded Date: 1997
- Founders: Dean Stoecker and Olivia Duane Adams
- Headquarters: Irvine, California, United States
- Area Served: Worldwide
- Current CEO: Mark Anderson
Table of Contents
The top Alteryx competitors are
1. KNIME Analytics Platform
- Product Type: Analytics Platform
- Industry: Data Science
- Founded Date: 2008
- Founders: Michael Berthold
- Headquarters: Zurich, Switzerland
- Area Served: Worldwide
- Current CEO: Michael Berthold
KNIME Analytics Platform is an open-source data analytics tool that allows users to manipulate, analyze, and model data. Users can quickly build and execute data workflows without programming with its visual workflow interface. KNIME Analytics Platform is known for its flexibility and ease of use, making it a popular choice for data scientists and business analysts.
2. DataRobot
- Product Type: Automated Machine Learning Platform
- Industry: Data Science
- Founded Date: 2012
- Founders: Jeremy Achin, Thomas DeGodoy
- Headquarters: Boston, Massachusetts, USA
- Area Served: Worldwide
- Current CEO: Dan Wright
DataRobot is a technology company with an automated machine-learning platform that helps organizations build and deploy predictive models quickly and easily. It uses advanced algorithms and machine learning techniques to automate the model-building process, making it accessible to users with varying technical expertise. DataRobot empowers businesses to make data-driven decisions and gain insights from their data without extensive programming or data science knowledge.
3. RapidMiner
- Product Type: Data Science Platform
- Industry: Data Science
- Founded Date: 2006
- Founders: Ingo Mierswa
- Headquarters: Boston, Massachusetts, USA
- Area Served: Worldwide
- Current CEO: Peter Lee
RapidMiner is a data science platform that enables users to extract insights from their data through a visual interface. It offers various machine learning and data mining algorithms, allowing users to build and deploy predictive models. RapidMiner simplifies the data science process by providing a drag-and-drop interface with no code, making it accessible to users with minimal coding experience.
4. Dataiku
- Product Type: Enterprise AI and Machine Learning Platform
- Industry: Data Science
- Founded Date: 2013
- Founders: Clément Stenac, Marc Batty, Florian Douetteau, Thomas Cabrol
- Headquarters: New York, New York, USA
- Area Served: Worldwide
- Current CEO: Florian Douetteau
Dataiku is a collaborative data science platform that allows organizations to manage and integrate their end-to-end data science workflows effectively. It provides a unified data preparation, modeling, deployment, and monitoring environment. Dataiku offers a user-friendly interface that supports code-based data prep and visual-based data science work, catering to data scientists, business analysts, and other users.
5. Databricks
- Product Type: Unified Data Analytics Platform
- Industry: Data Science
- Founded Date: 2013
- Founders: Ali Ghodsi, Andy Konwinski, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Scott Shenker
- Headquarters: San Francisco, California, USA
- Area Served: Worldwide
- Current CEO: Ali Ghodsi
Databricks is a cloud-based big data platform that provides a collaborative environment for data engineering, data science, and machine learning tasks. Built on Apache Spark, Databricks enables efficient data processing and analysis at scale. It offers an interactive workspace and integrated tools for data exploration, model development, and deployment.
6. Tableau
- Product Type: Data Visualization and Business Intelligence Platform
- Industry: Data Science
- Founded Date: 2003
- Founders: Christian Chabot, Chris Stolte, Pat Hanrahan
- Headquarters: Seattle, Washington, USA
- Area Served: Worldwide
- Current CEO: Adam Selipsky
Tableau is a data visualization tool that helps users analyze and understand their data through interactive dashboards and reports. With its intuitive drag-and-drop interface, Tableau allows users to create visualizations without coding. Tableau also offers advanced data exploration, storytelling, and collaboration features, making it a popular tool for businesses across industries.
7. Microsoft Power BI
- Product Type: Business Intelligence and Data Visualization Platform
- Industry: Data Science
- Founded Date: 2013
- Founders: Microsoft Corporation
- Headquarters: Redmond, Washington, USA
- Area Served: Worldwide
- Current CEO: Satya Nadella
Microsoft Power BI is a business intelligence platform that enables users to analyze, visualize, and share insights from their data. It provides a comprehensive suite of tools for data preparation, modeling, and reporting. With its integration capabilities, Microsoft Power BI connects to various data sources and offers pre-built connectors for popular applications, making it a widely adopted choice for businesses.
8. Qlik Sense & Qlik
- Product Type: Business Intelligence and Data Analytics Platform
- Industry: Data Science
- Founded Date: 1993
- Founders: Bjorn Berg, Staffan Gestrelius
- Headquarters: King of Prussia, Pennsylvania, USA
- Area Served: Worldwide
- Current CEO: Mike Capone
Qlik Sense and Qlik are data analytics platforms that provide self-service analytics capabilities to users. The platform’s associative data model allows users to gain insights and explore their data through intuitive interfaces and interactive visualizations. Qlik Sense and Qlik offer powerful data discovery features, empowering users to make data-driven decisions in a user-friendly manner.
9. SAS Visual Analytics & SAS Enterprise Guide
- Product Type: Analytics and Business Intelligence Platform
- Industry: Data Science
- Founded Date: 1976
- Founders: Jim Goodnight, John Sall, Anthony Barr
- Headquarters: Cary, North Carolina, USA
- Area Served: Worldwide
- Current CEO: Jim Goodnight
SAS Visual Analytics and SAS Enterprise Guide are part of the SAS software suite that provides advanced analytics and data visualization capabilities. SAS Visual Analytics offers interactive visualizations and self-service data exploration, while SAS Enterprise Guide is a visual interface for data management and analysis. Both tools are known for their robust analytics capabilities and comprehensive feature sets.
10. Amazon SageMaker
- Product Type: Machine Learning Platform
- Industry: Cloud Computing
- Founded Date: 2017
- Founders: Amazon Web Services
- Headquarters: Seattle, Washington, USA
- Area Served: Worldwide
- Current CEO: Andy Jassy
Amazon SageMaker is a fully managed machine learning service that simplifies the process of building, training, and deploying machine learning models. It provides a variety of pre-built algorithms and frameworks, making it easier for users to build models without extensive programming knowledge. Amazon SageMaker also offers a scalable infrastructure for model training and hosting, allowing users to leverage the power of cloud computing.
11. Google Cloud Dataproc
- Product Type: Big Data Platform
- Industry: Cloud Computing
- Founded Date: 2014
- Founders: Google
- Headquarters: Mountain View, California, USA
- Area Served: Worldwide
- Current CEO: Sundar Pichai (CEO of Alphabet Inc.)
Google Cloud Dataproc is a managed big data service that simplifies the deployment and management of Apache Spark and Hadoop clusters. It allows users to process large datasets and cost-effectively run distributed computing tasks. Google Cloud Dataproc integrates with other Google Cloud services, enabling seamless data integration and analysis across the Google Cloud platform together.
12. IBM Cognos Analytics
- Product Type: Business Intelligence and Performance Management Platform
- Industry: Data Science
- Founded Date: 1967
- Founders: IBM
- Headquarters: Armonk, New York, USA
- Area Served: Worldwide
- Current CEO: Arvind Krishna
IBM Cognos Analytics is a business intelligence platform that enables users to access, explore, and analyze data from multiple sources. It offers a range of data visualization and reporting tools, allowing users to create interactive dashboards and reports. IBM Cognos Analytics also provides advanced analytics capabilities, such as predictive modeling and decision optimization.
13. SPSS Modeler & IBM SPSS Statistics
- Product Type: Predictive Analytics and Data Mining Software
- Industry: Data Science
- Founded Date: 1968
- Founders: Norman H. Nie, C. Hadlai “Tex” Hull, Dale H. Bent
- Headquarters: Armonk, New York, USA
- Area Served: Worldwide
- Current CEO: Arvind Krishna
SPSS Modeler and IBM SPSS Statistics are part of the IBM SPSS software suite, which provides advanced statistical analysis and modeling capabilities. SPSS Modeler offers a visual interface for data mining and predictive analytics, allowing users to build and deploy models without coding. IBM SPSS Statistics, on the other hand, provides powerful statistical analysis capabilities for data exploration and hypothesis testing.
14. H2O.ai
- Product Type: AI and Machine Learning Platform
- Industry: Data Science
- Founded Date: 2012
- Founders: Sri Ambati, Cliff Click, Arno Candel
- Headquarters: Mountain View, California, USA
- Area Served: Worldwide
- Current CEO: Sri Ambati
H2O.ai is an open-source machine learning platform that aims to democratize AI and machine learning. It offers a comprehensive set of algorithms and tools for building and deploying machine learning models. H2O.ai provides both code-based and visual-based interfaces, making it accessible to users with different levels of technical expertise.
15. Amazon QuickSight
- Product Type: Business Intelligence and Data Visualization Platform
- Industry: Cloud Computing
- Founded Date: 2015
- Founders: Amazon Web Services
- Headquarters: Seattle, Washington, USA
- Area Served: Worldwide
- Current CEO: Andy Jassy
Amazon QuickSight is a cloud-based business intelligence tool that allows users to create visually appealing dashboards and reports. It enables users to connect to various data sources, perform transformations, and generate interactive visualizations. Amazon QuickSight is a great tool known for its ease of use and scalability, as it integrates with other Amazon Web Services (AWS) offerings.
16. TIBCO Software
- Product Type: Analytics and Integration Software
- Industry: Data Science
- Founded Date: 1997
- Founders: Vivek Ranadivé
- Headquarters: Palo Alto, California, USA
- Area Served: Worldwide
- Current CEO: Dan Streetman
TIBCO Software is a global leader in integration and analytics software. With a broad portfolio of products and solutions, TIBCO Software helps businesses integrate and connect their data sources, build and deploy analytics models, and automate workflows. TIBCO Software offers many capabilities, including data integration tools, visualization, predictive analytics, and event processing. With its intuitive user interface, TIBCO Software enables users to explore and analyze data quickly, empowering them to make data-driven decisions.
17. Sisense
- Product Type: Business Intelligence and Analytics Software
- Industry: Information Technology
- Founded Date: 2004
- Founders: Adi Azaria, Aviad Harell, Eldad Farkash, Guy Boyangu, Guy Boyangu, Guy Boyangu
- Headquarters: New York, United States
- Area Served: Worldwide
- Current CEO: Amir Orad
Sisense is a business intelligence and analytics platform that empowers users to make sense of complex data. Sisense’s user-friendly interface lets users quickly connect to various data sources, perform transformations, and create interactive visualizations. With its powerful in-chip technology, Sisense processes and analyzes large volumes of data quickly, enabling users to derive insights in real-time. Sisense offers a comprehensive set of analytics tools, including advanced dashboards, reporting, and predictive analytics, making it a popular choice for businesses of all sizes.
18. Domo
- Product Type: Business Intelligence and Analytics Software
- Industry: Information Technology
- Founded Date: 2010
- Founders: Josh James, Ross Mason
- Headquarters: Utah, United States
- Area Served: Worldwide
- Current CEO: Josh James
Domo is a cloud-based business intelligence platform providing a unified data integration, visualization, and collaboration environment. With its intuitive interface, Domo allows users to connect to multiple data sources and transform complex data into engaging visualizations. Domo offers a wide range of pre-built connectors and templates, enabling users to get started quickly. Domo’s collaboration features also allow teams to share insights and collaborate on data analysis. Its ease of use, scalability, and robust analytics capabilities make Domo a popular choice for businesses seeking to unlock the value of their data.
19. Talend
- Product Type: Data Integration and Data Management Software
- Industry: Information Technology
- Founded Date: 2005
- Founders: Bertrand Diard, Fabrice Bonan
- Headquarters: California, United States
- Area Served: Worldwide
- Current CEO: Christal Bemont
Talend is an open-source data integration and management platform that enables organizations to connect, transform, and integrate their data across multiple sources. Talend provides a comprehensive set of tools for data integration, data quality, and master data management. Users can design and execute data integration workflows without extensive programming with its drag-and-drop interface. Talend’s open architecture allows for easy scalability and flexibility, making it a popular choice for organizations of all sizes.
20. Informatica
- Product Type: Data Integration and Data Management Software
- Industry: Information Technology
- Founded Date: 1993
- Founders: Gaurav Dhillon, Diaz Nesamoney
- Headquarters: California, United States
- Area Served: Worldwide
- Current CEO: Amit Walia
Informatica is an enterprise data management and integration platform enabling organizations to connect and transform their data for various use cases. Informatica offers a comprehensive suite of products for data integration, quality, and master data management. With its easy-to-use graphical interface, Informatica allows users to design and execute data integration workflows without coding. Informatica’s intelligent data management capabilities, such as data cleansing and enrichment, enable organizations to ensure data accuracy and consistency across their systems.
21. Looker (Google)
- Product Type: Business Intelligence and Analytics Software
- Industry: Information Technology
- Founded Date: 2011
- Founders: Lloyd Tabb
- Headquarters: California, United States
- Area Served: Worldwide
- Current CEO: Frank Bien
Looker, now a part of Google, is a modern business intelligence and data analytics platform that helps organizations unlock the value of their data. Looker offers a web-based interface that allows users to explore, visualize, and analyze data from multiple sources. With its intuitive modeling layer, Looker enables users to define business metrics and dimensions, providing a unified data view. Looker’s advanced features, such as embedded analytics and data-driven workflows, make it popular for businesses looking to democratize data access and drive data-informed decision-making.
22. ThoughtSpot
- Product Type: Business Intelligence and Analytics Software
- Industry: Information Technology
- Founded Date: 2012
- Founders: Ajeet Singh, Amit Prakash, Shashank Gupta, Vijay Ganesan
- Headquarters: California, United States
- Area Served: Worldwide
- Current CEO: Sudheesh Nair
ThoughtSpot is a search and AI-driven analytics platform that allows users to discover insights from their data using natural language queries. ThoughtSpot’s search-driven interface enables users to ask questions in plain English and receive visualizations and answers in real time. With AI-driven insights, ThoughtSpot automatically suggests relevant visualizations, text analytics, and insights as users interact with their data. ThoughtSpot’s self-service capabilities and ease of use make it a popular choice for business users who want to access and analyze data without relying on IT or data experts.
23. GoodData
- Product Type: Business Intelligence and Analytics Software
- Industry: Information Technology
- Founded Date: 2007
- Founders: Roman Stanek
- Headquarters: California, United States
- Area Served: Worldwide
- Current CEO: Roman Stanek
GoodData is a cloud-based business intelligence and analytics platform that helps organizations turn data into actionable insights. GoodData offers a scalable and secure environment for collecting, analyzing, and visualizing data from various sources. With its embedded analytics capabilities, GoodData allows organizations to deliver data-driven insights directly within their applications or portals. GoodData’s collaborative features enable teams to share and collaborate on data analysis, fostering a data-driven culture within organizations.
24. Teradata
- Product Type: Database management system
- Industry: Data warehousing and analytics
- Founded Date: 1979
- Founders: Jack E. Shemer, Philip M. Neches
- Headquarters: San Diego, California, United States
- Area Served: Worldwide
- Current CEO: Steve McMillan
Teradata is a leading database and analytics software company, products, and services provider. Teradata offers various analytics solutions, including data warehousing, advanced analytics, and marketing analytics. Using Teradata’s data warehouses and powerful analytics platforms, organizations can discover insights from their data, make data-driven decisions, and drive business growth. Teradata’s scalability, performance, and robust analytics capabilities make it a popular choice for large enterprises with complex data analytics needs.
25. MATLAB
- Product Type: Numerical computing environment
- Industry: Technical computing
- Founded Date: 1984
- Founders: Cleve Moler
- Headquarters: Natick, Massachusetts, United States
- Area Served: Worldwide
- Current CEO: Jack Little
MATLAB is a high-level programming language and development environment commonly used for numerical computing and data analysis. MATLAB is widely used in the scientific and engineering communities due to its extensive library of mathematical functions, powerful data visualization tools and capabilities, and ease of use. With MATLAB, users can analyze complex data, develop machine learning models, and create sophisticated visualizations. MATLAB’s versatility and extensive community support make it a popular choice for researchers, data scientists, and engineers.
26. JMP
- Product Type: Statistical software
- Industry: Data analysis
- Founded Date: 1989
- Founders: John Sall
- Headquarters: Cary, North Carolina, United States
- Area Served: Worldwide
- Current CEO: Sameer Vittal
JMP is a statistical discovery software that enables users to explore and visualize data, uncover patterns, and make data-driven decisions. JMP offers a comprehensive suite of tools for statistical analysis, design of experiments, and data visualization. With JMP, users can perform advanced statistical analyses, build predictive models, and create interactive dashboards and reports. JMP’s user-friendly interface and comprehensive analytical capabilities make it a popular choice for data analysts and researchers.
27. Minitab
- Product Type: Statistical software
- Industry: Data analysis
- Founded Date: 1972
- Founders: Barbara F. Ryan, Thomas A. Ryan Jr.
- Headquarters: State College, Pennsylvania, United States
- Area Served: Worldwide
- Current CEO: Scott M. McDaniel
Minitab is a statistical software package that helps users analyze data and uncover insights. Minitab offers various statistical tools and techniques for data analysis, quality improvement, and predictive modeling. With its easy-to-use interface and extensive library of statistical functions, Minitab allows users to perform various statistical analyses, create visualizations, and generate reports. Minitab’s user-friendly interface and robust statistical capabilities make it a popular choice for quality professionals, researchers, and data analysts.
28. Statistica
- Product Type: Statistical software
- Industry: Data analysis
- Founded Date: 1984
- Headquarters: Tulsa, Oklahoma, United States
- Area Served: Worldwide
Statistica is an advanced analytics platform providing a comprehensive set of tools for data analysis, data mining, and predictive modeling. Statistica offers various statistical techniques and algorithms, enabling users to analyze and explore data easily. Statistica empowers users to build and deploy predictive models without extensive programming with its drag-and-drop user interface and visual workflow builder. Statistica’s intuitive interface and powerful analytics capabilities make it a popular choice for data scientists and statisticians.
29. GraphPad Prism
- Product Type: Statistical software
- Industry: Data analysis
- Founded Date: 1985
- Founders: Harvey Motulsky
- Headquarters: San Diego, California, United States
- Area Served: Worldwide
- Current CEO: Harvey Motulsky
GraphPad Prism is a scientific graphing and data analysis software that helps researchers analyze and visualize scientific data. GraphPad Prism offers a wide range of statistical tests, graphing options, and curve-fitting capabilities, making it a powerful tool for scientific research. With its intuitive interface and extensive library of statistical functions, GraphPad Prism enables users to perform statistical analyses, create publication-quality graphs, and generate comprehensive reports. GraphPad Prism’s user-friendly interface and robust analytical capabilities make it a popular choice for researchers in various scientific disciplines.
30. OriginPro
- Product Type: Scientific graphing and data analysis software
- Industry: Data analysis
- Founded Date: 1992
- Founders: C.P. Yang
- Headquarters: Northampton, Massachusetts, United States
- Area Served: Worldwide
- Current CEO: C.P. Yang
OriginPro is a data analysis and graphing software widely used in scientific and engineering research. OriginPro offers various data analysis tools and graphing options, allowing users to present and visualize data effectively. With its comprehensive set of analytical features, OriginPro enables users to perform statistical analysis, curve fitting, and peak analysis, among other advanced techniques. OriginPro’s user-friendly interface and extensive customization options make it popular for scientists, engineers, and researchers who need potent data analysis capabilities and customizable graphs.
These were all the competitors of Alteryx. If you know any other competitors, please write in the comments below.
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