When it comes to business intelligence and data analytics, Alteryx and Domo are two prominent tools that offer robust solutions. Alteryx is known for its advanced data blending and preparation capabilities, while Domo stands out with its real-time data visualization and interactive dashboards.
However, each platform has its unique strengths and potential limitations depending on the specific needs of a business. This makes the choice between them a critical decision for data-driven organizations looking to optimize their analytics workflows.
In this context, we'll also explore Sourcetable, a platform that provides a modernized, spreadsheet-like interface that syncs with your data, serving as a potential alternative to Alteryx or Domo for streamlined business intelligence tasks like reporting and data analytics.
Alteryx is an analytics platform utilized primarily by analytic leaders to enhance data-driven decision-making across organizations. It simplifies analytical processes, fostering an environment where analytics are more accessible to all users.
Alteryx is an analytics platform utilized primarily by analytic leaders to enhance data-driven decision-making across organizations. It simplifies analytical processes, fostering an environment where analytics are more accessible to all users.
The platform is instrumental in democratizing analytics, enabling self-service insights which empower users to analyze data independently, without specialized technical skills.
Alteryx fosters collaboration among business stakeholders, ensuring that analytics activities are in sync with the strategic objectives of the organization.
Through streamlining budgeting, forecasting, and reporting, Alteryx improves the accuracy and efficiency of financial processes. It also contributes to minimizing risks associated with financial decision-making.
Alteryx supports initiatives aimed at enhancing data quality and governance while providing robust data security measures to protect sensitive information.
Domo is a business intelligence (BI) and analytics platform that integrates various data systems to provide insights for decision-making. By leveraging AI-powered experiences, the platform offers advanced data analysis capabilities.
Domo is a business intelligence (BI) and analytics platform that integrates various data systems to provide insights for decision-making. By leveraging AI-powered experiences, the platform offers advanced data analysis capabilities.
Search Platform |
Alteryx incorporates a search platform, allowing users to quickly locate data and workflows. |
ETL/ELT Capabilities |
Alteryx excels in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for data integration. |
Data Preparation |
Data prep capabilities in Alteryx streamline the process of cleaning and structuring data for analysis. |
Data Enrichment |
Users can enhance their datasets with additional context through Alteryx's data enrichment features. |
Data Quality |
Ensuring high data quality, Alteryx provides tools for data validation and cleansing. |
Analysis Capabilities |
Alteryx offers robust analysis tools for deep data exploration and gaining insights. |
Geospatial Capabilities |
With geospatial capabilities, Alteryx allows for advanced location-based analytics and mapping. |
AutoML Capabilities |
AutoML features in Alteryx enable automated model building, making machine learning more accessible. |
Reporting Capabilities |
Alteryx includes reporting tools for generating clear and informative data reports. |
Analytics App Capabilities |
The platform allows for the creation of analytics apps to democratize data insights across teams. |
Data Storytelling |
Data storytelling capabilities in Alteryx help turn data into compelling narratives for decision-making. |
AI Generated Insights |
Alteryx leverages AI to provide users with automated insights from their data. |
Connectivity and Integration |
Domo provides over 1000 pre-built cloud connectors. Available on-premises connectors facilitate secure data integration. Custom connectors allow for tailored data source addition. Webhooks enable real-time data exchange. Federated adapters extend connectivity capabilities. Supports top cloud data warehouse engines for seamless integration. |
Data Processing and Management |
Cloud amplifier enhances the scalability of data operations. Partitioned data functionality offers efficient data management. Data writeback enables updates in source systems. Magic ETL simplifies data transformation processes. SQL dataflows provide advanced data processing options. Dataset views facilitate the creation of data snapshots. |
Data Science and Machine Learning |
Automated machine learning accelerates model development. Jupyter Workspaces integration supports data science workflows. Data science data prep tools streamline data preparation. Domo.AI delivers insights through machine learning models. |
Analytics and Collaboration |
Automated data discovery aids in uncovering insights. Natural language queries allow for intuitive data exploration. Buzz collaboration features foster team communication. Personalized data access ensures relevant data visibility. |
Customization and Security |
Branding toolkit enables platform customization. Mobile-optimized UI provides a seamless experience across devices. Bi-directional filter parameters enhance dashboard interactivity. Granular user access policy ensures appropriate data access control. |
Development and Administration |
App dev framework supports the creation of custom applications. Connector dev studio allows for the development of new connectors. App distribution platform streamlines the sharing of applications. Single sign-on offers a simplified authentication process. Multi-factor authentication enhances platform security. Logging and audits provide transparency into system activities. |
Alteryx enhances data accessibility, allowing users across an organization to engage in analytics without needing specialized skills.
The platform's user-friendly interface streamlines complex data tasks, making it simpler to perform reporting and analytics.
Alteryx fosters teamwork, enabling multiple stakeholders to collaborate on business intelligence projects seamlessly.
Its scalable nature ensures that Alteryx meets the growing data demands of enterprises efficiently.
By automating analytical processes, Alteryx reduces the time required for data reporting and analysis.
A robust community of over 500K members provides a platform for peer support and shared knowledge.
Alteryx contributes to continuous learning, helping employees advance their analytical capabilities.
The numerous awards won by Alteryx underscore its effectiveness in delivering business intelligence solutions.
Alteryx alleviates the burden of manual work in data processes, saving businesses countless hours.
Alteryx may exhibit latency when loading data, which can hinder performance. Moreover, users have reported that Alteryx is slow to respond, suggesting that the tool may struggle with rapid, dynamic data handling which is crucial for time-sensitive analytics.
Scaling Alteryx for larger datasets or across an organization can be challenging, potentially limiting its effectiveness for businesses looking to grow or manage large volumes of data.
The expense of Alteryx can be a barrier, as the software is perceived to be costly. Some users find the pricing model prohibitive, with a preference for a pay-per-use option. Additionally, automating workflows incurs extra costs, adding to the overall investment in the tool.
The error messages in Alteryx can be vague, complicating troubleshooting and potentially leading to longer resolution times. Users have noted that some tools and functionality they need are absent, and creating new functions is not straightforward.
It is also reported that the neural networking and forecasting tools are not user-friendly, which can be a significant disadvantage for businesses relying on predictive analytics.
Chaining or scheduling workflows, which is crucial for automated reporting and data processing, is not natively built into Alteryx. This limitation can affect the efficiency of business intelligence operations.
Additionally, the support for databases other than MS SQL Server is lacking, which can be a disadvantage for businesses using a diverse range of database technologies.
Alteryx offers few training resources, which can hinder the learning curve for new users, affecting the adoption rate within a business. Furthermore, Alteryx is not optimized for data visualization tasks, a critical component of business intelligence that provides insights through visual reporting.
The Alteryx Marketplace is where you can find verified assets that have undergone rigorous validation.
Yes, Add-Ons on the Alteryx Marketplace are free to download.
Users with an active Designer or Server license can download Add-Ons.
Add-ons can be tools, macros, workflows, or extensions.
The Alteryx Marketplace is complimentary to the Community Gallery, which is for peer-to-peer interactions, examples, use cases, and more.
Improving sports training by generating personalized recommendations for athletes
Enhancing business efficiency through time-saving data processing and analysis
Integrating data from multiple CRM platforms to create comprehensive dashboards and reports
Optimizing data science reporting impact through A/B testing
Predicting email open rates using machine learning algorithms
Domo offers a complete solution for business intelligence tasks, combining crucial capabilities such as data integration, visualization, and app creation within one platform.
With over 1,000 connectors, Domo simplifies the process of connecting to various data sources and cloud data warehouses, enabling efficient data analytics and reporting.
Built-in data governance and granular user permissions in Domo ensure secure data management and compliance, essential for reliable business intelligence.
Domo's ease of use and the ability for anyone to create visualizations and dashboards democratizes data analytics, facilitating a data-driven culture.
Domo's effectiveness is underscored by recognition from major industry analysts, including a Gartner® Magic QuadrantTM placement, Dresner Advisory Services ranking, and Nucleus Research Report leadership.
Domo scales effectively with businesses, supported by an AI framework that enhances data experiences and actionable insights.
The cost of Domo is considered high by some users, which can be a significant disadvantage for businesses looking to manage their expenses effectively.
Domo has a steep learning curve and is not as user-friendly as other software, potentially leading to less efficient adoption within teams. In addition, the data inconsistency reported by users can result in unreliable insights.
Managing datasets in Domo can be challenging, and the platform may be slow to process large datasets, impacting timely decision-making. This is compounded by Domo's slower addition of new features compared to competitors.
Users have experienced delays in data processing times with Domo, and the platform's alerts have been reported as not always accurate, potentially affecting critical business operations.
Domo's Buzz communication tool has been labeled as unhelpful by users, and there is room for improvement in the platform's visual aids, impacting the overall reporting experience.
Domo has a knowledge base with articles and videos that provide information about its features and usage.
Yes, Domo has a team of experts available for support to help you with any issues or questions.
Absolutely, Domo has a community forum where users can answer each other's questions and share insights.
Domo has an ideas exchange where users can submit feature ideas for consideration and development.
You can stay informed about the latest features and updates by checking the Domo product release notes.
CEOs using Domo to oversee company-wide operations
Analyzing interdependencies within business sectors with Domo
Leveraging Domo for real-time data delivery
Utilizing Domo for data manipulation tasks
Distributing informative material throughout a company via Domo
Sourcetable offers a streamlined approach to reporting and data analytics. Unlike Alteryx or Domo, it consolidates data across multiple services into an intuitive spreadsheet-like interface, facilitating ease of use and efficiency in data management.
With Sourcetable, syncing data from various platforms is seamless. This synchronization capability surpasses the traditional BI tools like Alteryx and Domo by eliminating complex integration processes and providing real-time data updates.
The spreadsheet-like interface of Sourcetable is designed for accessibility, catering to users who may not have advanced technical skills. This contrasts with the often complex interfaces of Alteryx and Domo, which may require specialized training.
Sourcetable provides a cost-effective alternative to Alteryx and Domo. By reducing the need for extensive training and complex integrations, businesses can save on resources and invest more in strategic initiatives.
The lightweight and agile nature of Sourcetable allows businesses to adapt quickly to changing data needs. This agility is crucial in today's fast-paced business environment and offers an advantage over the more rigid platforms of Alteryx and Domo.
Both Alteryx and Domo are recognized as analytics platforms. They provide tools and capabilities for data analysis and visualization.
Alteryx and Domo utilize AI to enhance data-driven decision making, offering smarter insights and analytics through their platforms.
Each platform aims to democratize analytics by making data insights more accessible across organizations, enabling users with varying levels of technical expertise to engage with the data.
Both platforms support self-service insights, allowing users to perform data analysis without extensive support from IT departments or data scientists.
Alteryx and Domo cater to enterprise-level analytics needs, providing solutions that scale with the size and complexity of large organizations.
Both platforms emphasize data integration from various sources, and they focus on maintaining high data quality, governance, and security.
Alteryx and Domo facilitate collaboration among business stakeholders, analysts, and IT professionals, streamlining the process from data collection to actionable insights.
Alteryx is primarily an analytics and AI platform designed for enterprise analytics. It provides tools for data scientists and analytic leaders to democratize analytics and enable self-service insights. Domo, on the other hand, is a business intelligence tool focused on integrating various data sources for real-time dashboard visualization.
Alteryx uses AI for smarter, data-driven decision making and helps data scientists collaborate with business stakeholders. Domo offers some AI capabilities but is less focused on the data science aspect and more on visualization and reporting.
Alteryx is strong in enabling self-service analytics and democratizing analytics within an organization, which allows for a broader range of users to access data insights. Domo focuses on user-friendly interfaces for non-technical users but does not specifically target the democratization of analytics.
Alteryx is an enterprise analytics and AI platform that enables data-driven decision making. It is recognized for democratizing analytics, providing AI-powered insights, and facilitating collaboration between data scientists and business stakeholders. Alteryx is used across various leadership roles, including finance, IT, and marketing, to streamline processes, ensure data quality, and enhance campaign management.
Domo is a business intelligence tool designed to provide data visualization and business insights. It offers real-time data monitoring and integration across multiple data sources. Domo is aimed at helping decision-makers access and analyze data, create interactive visualizations, and drive business outcomes through informed strategies.
Sourcetable is a spreadsheet-like tool that combines data from multiple sources into a single interface. It is designed to simplify data analysis and reporting for users without advanced technical skills. Sourcetable offers data automation and visualization features, facilitating easier data management and decision making for small to medium-sized businesses.
Sourcetable is a spreadsheet application that is typically used by growth teams and business operations teams. It allows users to centralize, analyze, and model data that updates over time without the need for coding.
Sourcetable syncs data from over 100 applications and most databases. It allows users to access and query data from most 3rd party applications, replacing traditional workflows done in Excel, Google Sheets, and Business Intelligence tools.
Data integrations on Sourcetable update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. All plans come with a 14-day free trial. The pro plan includes the first 5 users, and each additional seat costs $20 per month.
The Alteryx Designer Cloud Professional Edition starts at a cost of $4,950 USD. This is the initial pricing tier for cloud-based services.
For the desktop version, Alteryx Designer Desktop is available at $5,195 USD.
Domo operates on a credit-based pricing model. This approach allows users to scale their usage according to their specific business requirements and only pay for what they use.
Domo operates on a credit-based pricing model. This approach allows users to scale their usage according to their specific business requirements and only pay for what they use.
Domo provides extensive connectivity options with over 1,000 pre-built connectors. These connectors facilitate direct integrations with various data stores, including cloud solutions like Snowflake and on-premises systems, which can impact cost based on the complexity and volume of data.
The platform's ETL tools enable users to create data pipelines, perform data cleansing and shaping, and merge data from multiple sources without the need for coding. This feature may reduce costs related to data preparation and handling.
Domo offers BI and analytics tools that support the creation of visualizations and the sharing of insights. The ability to disseminate information effectively might factor into the total cost, depending on the scope of deployment.
The AI and data science tools provided by Domo allow for the building, training, and deployment of data models. Users should consider the costs associated with these advanced analytics capabilities.
Embedded analytics solutions and collaboration tools are part of Domo's offerings. These solutions enable users to share data and insights while helping teams remain aligned, potentially affecting the overall pricing structure.
Users seeking an "all-in-one" BI tool often consider Domo, which combines front-end visualizations, data storage, and ETL capabilities. While it is recognized for its comprehensive features, the cost is a common concern among users. Reviews indicate that Domo's expense may be justified for organizations seeking to consolidate their BI processes into a single platform.
Users seeking an "all-in-one" BI tool often consider Domo, which combines front-end visualizations, data storage, and ETL capabilities. While it is recognized for its comprehensive features, the cost is a common concern among users. Reviews indicate that Domo's expense may be justified for organizations seeking to consolidate their BI processes into a single platform.
Performance is a mixed aspect in user reviews. The potential speed issues during use are noteworthy, with some users reporting lag when interacting with the shared cloud storage. However, others have found that integrating a dedicated data warehouse with Domo can significantly enhance its performance, suggesting scalability to meet advanced data needs.
The pricing of Domo is frequently mentioned in reviews. Its premium cost is a barrier for some potential users, but others assert that the investment is worthwhile for the breadth of functionality offered. It seems that the decision to invest in Domo is often contingent on the specific requirements and budget constraints of the organization.
Domo's role as a storage and ETL solution receives mixed feedback. The convenience of having shared cloud storage is appreciated for collaborative efforts, yet some users expect faster data processing speeds. The consensus is that Domo's value is increased when used in conjunction with a dedicated data warehouse.
Alteryx and Domo offer distinct capabilities for business intelligence, with Alteryx focusing on data blending and advanced analytics, while Domo emphasizes visualization and dashboarding.
Both platforms support data integration and collaboration, but they cater to different user needs and skill levels.
Sourcetable provides a more straightforward solution that integrates real-time data across various services into a user-friendly spreadsheet interface, suitable for those seeking simplicity and familiarity in their BI tool.