Alteryx Alternatives and Top Competitors 2024

Analysis and Insights

Alteryx is a data analytics platform widely used for data blending, advanced analytics, and workflow automation. It has become the go-to solution for many businesses striving to use their data for insights and informed decision making. However, the evolution of data analytics has led to the emergence of multiple competitive alternatives. In 2024, several platforms offer features that rival or even surpass those of Alteryx, depending on specific needs and contexts. 

This blog explores some of the top Alteryx alternatives and competitors, providing insights into their strengths and weaknesses to help you make an informed choice.

Top Alteryx Alternatives and Competitors for Data Analytics

According to a survey conducted by BARC, companies using data analytics platforms witnessed an 8% increase in their profits, highlighting the significance of data analytics platforms for business growth. While Alteryx is a powerful option, exploring top alternatives and competitors can reveal tools that might better suit your specific needs and business requirements. 

This blog delves into some of the leading alternatives to Alteryx, offering insights into their unique features and advantages.

1. Savant

Image 1: Snippet of Savant Website.

Savant is a cutting-edge analytics automation platform designed to streamline data management, improve analytics capabilities, and produce actionable insights. Savant uses generative AI and advanced analytics to stand out as a prominent competitor of Alteryx.

Pros:

• Generative AI Integration: Savant leverages generative AI to enable users to create workflows and transform data seamlessly using conversational language. This feature enhances efficiency and accessibility, allowing even non-technical users to interact with complex data processes intuitively.
• User-Friendly Interface: Savant presents an easy-to-explore interface that can help you utilize complex data analytics tools effortlessly. The platform is convenient and accessible to even non-technical users.
• Scalability: Savant caters to businesses of all sizes, offering scalable solutions that can grow with your business. Whether you’re a small startup or a large enterprise, Savant provides solutions to address your requirements.
• Customizable Dashboards: Savant allows you to create personalized analytics dashboards to meet specific business needs and present you with relevant, usable data.
• Strong Community Support: Savant has an active user community and an extensive knowledge base. You will have access to robust support and learning resources.
• Cost Effective: Savant offers superior performance at half the cost of Alteryx, making it a powerful and cost-effective choice for businesses seeking advanced data analytics capabilities.

Cons:

• Location Intelligence: Savant's Gen AI tool is equipped to provide location-related insights. However, advanced geospatial analysis isn't a part of the platform’s current capabilities. This is something to keep in mind for businesses with significant geospatial needs.

Pricing Plans:

Savant offers subscription plans that range from $50 per month to over $800 per month, depending on the required features and scale. The Starter plan at $50/month is ideal for individuals, offering essential tools for automating analytic processes. The $800/month Pro plan caters to professionals looking for advanced analytics capabilities. Custom pricing is available for larger teams and enterprises, offering large-scale solutions for enterprise needs. For more detailed pricing information, visit our website.

Case Study:

Arrive Logistics, a leading multimodal transportation and technology company, significantly improved its operational efficiency by integrating Savant’s no-code dataflow automation and insight delivery into its processes. With Savant, Arrive Logistics saved over 400 hours of manual analytic work monthly and unlocked over $500K in revenue opportunities within a month by delivering timely insights through self-service analytics. 

Savant helped reduce the demand on their data engineering team by 25%, and costs of data sync and replication were cut down by almost 25%. This partnership has allowed Arrive Logistics to rapidly scale data operations and continue its impressive growth trajectory, demonstrating the substantial impact of Savant’s solutions in the logistics industry.

2. Snaplogic

Image 2: Snippet of Snaplogic’s Website.

Pros:

• Rich Feature Set: SnapLogic offers a rich feature set catering to various data integration needs. Its cloud-based architecture allows for seamless scalability, making it an attractive option for growing businesses.
• Intuitive interface: Users appreciate the intuitive drag-and-drop interface. This design simplifies the process of building integrations, even for those with limited technical skills.

Cons:

• Latency Issues: Performance can also vary based on specific use cases and workloads. Some organizations have reported occasional latency issues during peak times, which could affect real-time data processing needs. 
• Learning Curve for Non-Technical Users: The learning curve is steep for more advanced features. Users may find themselves steering complex functionalities without sufficient guidance.

Pricing Plans: 

Snaplogic provides flexible pricing models, offering tiered plans based on usage, features, and scale. The Essentials plan suits small teams, while the Professional plan offers advanced capabilities for medium-sized organizations. The Enterprise tier offers robust options for large enterprises. Pricing varies based on user count and project complexity. 

3. Sprinkle

Image 3: Snippet of Sprinkle Website.

Pros:

• Centralized Data Storage: Sprinkle provides a strong data storage solution that centralizes all your data, making it easier to manage and analyze.
• Personalized Dashboards: You can create customized dashboards tailored to your specific needs and preferences.
• Automatic Data Refresh: This feature ensures that your data is always up to date, helping provide accurate and timely insights.

Cons:

• Limited Visualization Options: Users report that Sprinkle offers confined visualization capabilities, which can limit the depth of data analysis and presentation.
• Performance Issues With Heavy Data: The platform can experience lag when handling large or complex data tables, affecting efficiency and user experience.
• UI Challenges: Some users, particularly those new to business intelligence tools, find the interface unintuitive, which can make navigating the platform and its features difficult.
• Data Formatting Issues in Automated Reports: There are complaints about the formatting of automated email reports, with issues such as excessive white space impacting the readability and usability of the reports.
• Limited Column Output: Sprinkle imposes a 100-column limit. While the row limit can go up to 50 million, the column constraint could necessitate exporting data to Excel for detailed analysis or broader reporting needs.

Pricing Plans: 

Sprinkle offers three pricing plans to accommodate various needs: the Professional Plan for small-scale analytics, the Enterprise Plan for high-scale and compliance-focused use cases, and the Embed Plan for large-scale external analytics and custom applications. Each plan provides a range of features tailored to different levels of user access and data requirements. For specific pricing details and to choose the best plan for your needs, visit Sprinkle's website or contact their sales team.

4. Tableau

Image 4: Snippet of Tableau Website.

Pros:

• Customizable Dashboards: Highly customizable dashboards allow users to tailor visualizations and layouts to fit specific needs and preferences. This flexibility ensures that users can create highly personalized and impactful data presentations.
• Real-Time Data Processing: Tableau’s real-time data processing enables users to interact with live data and receive immediate updates. This feature supports timely decision making and enhances the accuracy of the insights derived from the data.
• Advanced Analytics Features: Tableau offers a range of advanced analytics tools, including predictive analytics and complex data visualizations.
• Large User Community: With a large and active user community, Tableau provides extensive resources for learning and troubleshooting.

Cons:

• Limited Customization in Reports: Users have reported that Tableau's default reports and dashboards can be restrictive, with limited customization options beyond the default filters and features.
• Higher Pricing for Small Businesses: Tableau’s pricing can be prohibitive for small businesses, especially for more advanced features.
• Performance Issues: Users have reported performance issues when working with very large datasets.
• Need for IT Support for Complex Implementations: More complex implementations of Tableau might require IT support.

Pricing Plans: 

Tableau offers several pricing plans to meet different needs: the standard Tableau package for general data analysis, the advanced Enterprise package for enhanced data management, and the premium Tableau+ package featuring AI-powered analytics. Pricing varies based on deployment choice and features, with licenses available for Creators, Explorers, and Viewers. Check Tableau’s pricing page for more details.

5. Qlik

Image 5: Snippet of Qlik Website.

Pros:

• Data Visualization Capabilities: Qlik has earned a good reputation for its powerful data visualization tools.
• High-Speed Processing: The platform’s in-memory processing engine allows for quick data analysis.
• Scalability: Qlik can scale to meet the needs of businesses of all sizes.

Cons:

• Learning Curve for New Users: As a new user, you might find Qlik’s interface and features challenging to learn.
• Customization Limitations: While powerful, Qlik has limitations in terms of customization compared to other tools.
• Requires Dedicated Resources: Implementing and maintaining Qlik may require dedicated resources, including IT support.

Pricing Plans: 

Qlik offers various pricing options, including plans for data integration and quality, analytics, and AI/ML applications. Each plan is designed to cater to different aspects of data management and analytics, from trusted data delivery to advanced predictive AI tools. For detailed pricing, visit Qlik’s website.

6. Microsoft Excel

Image 6: Snippet of a Microsoft Excel Sheet.

Pros:

• Versatile Task Handling: Excel can be used for a wide range of tasks, from simple calculations to complex data analyses.
• Vast Library of Formulas and Functions: Excel offers an extensive range of built-in formulas and functions.
• Integration With Microsoft Office Products: Excel integrates seamlessly with other Microsoft Office products.

Cons:

• Time-Consuming Mastery: Learning to use Excel effectively can be a time-consuming affair.
• Prone to Human Error: Manual data entry and manipulation can lead to errors.
• Performance Issues With Large Datasets: Excel can struggle with performance when handling very large datasets.

Pricing Plans: 

Excel is available as part of the Microsoft Office suite, which offers various subscription plans.

7. Microsoft Power BI

Image 7: Snippet of the Microsoft Power BI Webpage.

Pros:

• Advanced Analytics Features: Power BI offers a range of advanced analytics tools, including real-time analytics and AI-driven insights.
• Real-Time Report Sharing and Collaboration: Multiple users can share and collaborate on reports in real time.
• Mobile App Availability: Power BI’s mobile app will allow you to access data and reports on the go.

Cons:

• Limited Export Options: The tool offers limited options for exporting data and reports.
• Lack of Support for macOS: macOS does not natively support Power BI.

Pricing Plans: 

Microsoft Power BI offers a range of pricing plans to suit different needs. The free plan allows users to create and explore interactive reports, while Power BI Pro, at $10 per user per month, enables report sharing and collaboration. For advanced features like larger data models and more frequent data refreshes, Power BI Premium Per User is available at $20 per user per month. Power BI Embedded offers variable pricing for integrating analytics into applications and automating report management, with costs depending on specific requirements. You can find detailed pricing information on their website.

8. Domo

Image 8: Snippet of Domo Website.

Pros:

• Ease of Use: Domo is praised for its user-friendly interface and intuitive design, which make it accessible to both technical and non-technical users.
• Customizable Dashboards: The platform allows for extensive dashboard customization, enabling users to tailor visualizations to their preferences.
• Real-Time Data Updates: Users benefit from immediate data updates, facilitating timely decision making and enhanced operational efficiency.
• Strong Collaboration Features: Domo facilitates effective team collaboration by allowing users to share insights and work together on data analyses.

Cons:

• Steep Learning Curve: Domo’s advanced features can be challenging for new users to learn.
• Higher Pricing: Pricing can be a bit steep compared to some other alternatives.
• Lacks Advanced Features: While powerful, Domo lacks some of the advanced features other tools offer. For instance, Domo's geospatial analysis capabilities are more basic, focusing primarily on simpler map visualizations without the depth of spatial analysis features seen in tools like Alteryx and Tableau.

Pricing Plans: 

Domo’s pricing plans are designed for flexibility and scalability. The Free Trial offers 30 days of full access, including education and onboarding support. The Standard Plan suits teams with moderate data needs, providing shared support and education. The Enterprise Plan adds volume discounts and dedicated support for larger organizations. The Business Critical Plan includes advanced features like AWS private links and HIPAA compliance for enhanced security and scalability. Custom add-ons are available, including professional services and training. For specific pricing details and to find the plan that best fits your requirements, visit Domo’s pricing page.

9. SAP Analytics Cloud

Image 9: Snippet of SAP Analytics Cloud Webpage.

Pros:

• Advanced Analytics and Planning: With features like generative AI, SAP Analytics Cloud facilitates automated reporting and comprehensive planning, integrating financial, supply chain, and operational data for more informed decision making.
• Real-Time Data and Reports: It offers real-time access to data and reports, ensuring that your decisions are based on the most current information.
• Global Support: SAP provides extensive support and services worldwide, guaranteeing reliable assistance no matter where you operate.

Cons:

• Complex Implementation: Setting up SAP Analytics Cloud can be complex and time consuming, requiring careful planning and execution.
• Training Requirements: Effective use of the platform may necessitate extensive training, given its advanced features and functionalities.
• Switching Costs: Transitioning away from SAP Analytics Cloud can be challenging and costly due to its deep integration into business processes.

Pricing Plans: 

Pricing options for this platform span quite a wide range, from $396 per user per year for SAP Analytics Cloud for business intelligence, to $13,800 per user per year for SAP Analytics Cloud for planning, professional edition. For further details, visit the pricing page.

10. Dataiku

Image 10: Snippet of Dataiku Website.

Pros: 

• Unified Data Science Environment: Dataiku provides an integrated environment for data preparation, app development, production deployment, and more, streamlining the workflow for data scientists and analysts.
• Collaborative Features: It supports collaboration across teams, enabling users to work together on projects, share insights, and leverage collective expertise.
• User-Friendly Interface: The platform offers a visual interface that simplifies data manipulation and machine learning processes, making it accessible to both technical and non-technical users.

Cons:

• Complex Implementation: While Dataiku provides a powerful suite of tools, the initial setup and integration can be lengthy and complex. Some users may experience a steep learning curve or require additional time to adapt to the platform.
• Limited Version Control for Recipes: Collaboration on code recipes can be challenging due to the platform’s limitations, such as having only one branch per project. Although integration with external git repositories is possible, it does not fully address the need for in-recipe version control and collaborative coding.

Pricing Plans:

Dataiku offers a Free Edition for installing on your infrastructure, supporting up to 3 users and basic data projects. The Free Trial provides 14 days of full access to Dataiku Cloud, with features for up to 5 users. For larger organizations, Paid Editions offer scalable, enterprise-wide solutions with advanced features available in tailored plans and hosted options. For more details, contact Dataiku directly.

11. Knime

Image 11: Snippet of Knime Website.

Pros:

• Robust Data Integration: KNIME connects to over 300 data sources and seamlessly integrates with popular machine learning libraries, offering extensive flexibility for various data workflows.
• Open Source: The platform is free and open source, providing a cost-effective solution with comprehensive features that’s accessible to a wide range of users.
• Versatility: KNIME handles a broad spectrum of data science tasks, from data manipulation to advanced analytics and machine learning.

Cons:

• Performance Issues: Due to its Java-based architecture, some users report that KNIME can be slow, particularly when dealing with large datasets or when numerous extensions are installed.
• Complex Deployment: While development is straightforward, deploying models and solutions can be less intuitive and require additional effort compared to other platforms.
• Limited Customization: For highly specific or advanced needs, users may need to rely on Python or R scripts, which can add complexity to the process.

Pricing Plans:

KNIME Hub offers several pricing tiers to match different needs. The Community Hub includes a free Personal plan for individuals and a $99/month Team plan, which adds centralized billing and extended disk space. For businesses, KNIME Business Hub provides three customer-managed options: Basic at $39,900/year for single-team use, Standard at $71,250/year for multiple teams with advanced features, and Enterprise with custom pricing for organization-wide deployment and unlimited teams. For more information, visit their website.

12. Adobe Analytics

Image 12: Snippet of Adobe Analytics Website.

Pros:

• Powerful Analytics Capabilities: Adobe Analytics offers robust features for in-depth data analysis, including real-time insights, advanced segmentation, and predictive analytics. 
• Integration With Adobe Ecosystem: Seamless integration with other Adobe products enhances data connectivity and streamlines workflows, facilitating a more cohesive analytics experience across platforms.
• Scalability and Customization: The platform supports scalable solutions for both small and large organizations, with extensive customization options to tailor analytics and reporting to specific business needs.

Cons:

• Complex Setup and Learning Curve: Adobe Analytics requires a complex setup and has a steep learning curve, which can be challenging for new users and may necessitate dedicated resources for training and implementation.
• High Cost: The platform is relatively expensive, which may be a barrier for smaller businesses or organizations with limited budgets.

Pricing Plans:

Adobe Analytics offers three pricing plans to fit varying levels of data needs. Select is for centralizing data and optimizing interactions, while Prime provides real-time, cross-channel insights to enhance personalization. Ultimate offers advanced features like AI-driven insights for unified customer profiles. Pricing for each plan is customized and available upon request. Visit their website for more information.

13. Oracle Analytics

Image 13: Snippet of the Oracle Analytics Website.

Pros:

1. Advanced Data Integration: Oracle Analytics Cloud excels at integrating data from diverse sources, whether on premises or in the cloud. This seamless connectivity facilitates a comprehensive view of organizational data, which is essential for strategic decision making.
2. Robust Machine Learning and Predictive Analytics: The platform offers powerful machine learning capabilities that enhance predictive analytics and automate complex data analysis tasks. This feature helps users derive actionable insights and make data-driven decisions more efficiently.
3. Advanced Data Visualization: Users benefit from various visualization options, including interactive dashboards and detailed reports. The platform's advanced visualizations help users better understand and communicate data insights.
4. Strong Security and Governance: The platform emphasizes data security and governance, ensuring that sensitive information is protected while maintaining compliance with regulatory standards.

Cons:

1. High Cost: The pricing for Oracle Analytics Cloud can be relatively high, which may be a concern for smaller businesses or those with tight budgets.
2. Complex Setup for Diverse Data Sources: While the platform integrates well with Oracle services, setting up integrations with non-Oracle data sources can be complex.
3. Performance Issues With Large Datasets: Users have reported that performance can slow down when handling very large or complex datasets, impacting data processing efficiency.
4. Limited Customization for Dashboards: Some users find the options for customizing dashboards to be limited compared to other analytics tools, which affects the ability to tailor the platform to specific needs.

Pricing Plans:

For information on Oracle Analytics pricing, visit their website.

Final Thoughts

Choosing the right alternative to Alteryx depends on your specific needs, business size, and the features that are critical to your workflows. Each alternative discussed in this blog has its pros and cons, making it essential to thoroughly compare them to determine the best fit for your organization. Whether you’re looking for advanced AI-driven insights, user-friendly interfaces, or comprehensive data management solutions, there is an alternative to Alteryx that can meet your requirements.

Discover how Savant can transform your data analytics strategy. Explore our cutting-edge solutions designed to optimize your operations and drive smarter business decisions. Contact us today to learn more and schedule a personalized demo.