ibi vs Alteryx Designer

Information Builders Inc. (ibi) offers a feature-rich business intelligence data and analytics platform that unlocks actionable insights and the power of decision-making for users throughout an organization. Rated highly for ease of use by most reviewers, it empowers self-service data discovery with a user-friendly UI that enables drag-and-drop data analysis and visualization; some users noted that this UI looks outdated, especially compared to those of competitors. The platform offers a wide range of prebuilt data visualizations that users can further customize if necessary. This platform excels at creating and designing reports, then distributing them either at-will or through the automated scheduling tool, as noted by a majority of users who reviewed reporting. Most notably, the platform has an outstanding support team — all of the users who reviewed its support expressed satisfaction with their proactive, responsive assistance, citing the vendor’s dedication to the success of their customers as notably apparent. Customers can tailor the platform to their needs, as its flexibility allows for customized solutions. Frequent updates add value over time, though some users remarked that these sometimes break features from older versions. Other performance issues noted in reviews include lags when performing complex queries, infrequent crashes, slow load times and issues when accessing the platform from specific devices or browsers. While easy to pick up and use, especially for the end-user, some reviewers said that there is a learning curve to master the many features of this tool — a few users noted that this learning curve lasted a few months for some team members in their organizations. Overall, ibi data and analytics is a worthy pick for self-service data visualization and reporting, especially in the hands of an organization willing to invest the resources and time to make it shine.

Alteryx Designer is a data science solution that leverages the power of AI and ML to blend, parse, transform and visualize big business data to promote self-serve analysis of business metrics. Many users who reviewed data analysis said that the tool performs statistical, spatial and predictive analysis in the same workflow. Most of the users who reviewed data processing said that, with a lightweight ETL tool, the platform has strong data manipulation and modeling efficiencies, though some users said that it can be tricky to use SQL queries. Citing integration with Power BI, Tableau and Python, most of the users said that the tool connects seamlessly to data from databases and files, apps, and third-party data sources, among others, to expand the reach of search-based and AI-driven analytics. Most of the users who discussed ease of use said that the tool is intuitive with drag-and-drop functionality and a well-designed interface, though some users said error handling can be challenging for automated workflows. Most of the users who reviewed support said that online communities are helpful in providing answers to queries. Citing automated workflows, many users said that the tool helps save time, though some users said that these can be overly complex and need improvement. On the flip side, many users who reviewed pricing said that its expensive licenses and add-ons are cost-prohibitive, and cost per core is high for enterprises looking to scale. A majority of users who reviewed its visualization capabilities said that they need to export data to visually stronger applications, such as Tableau or Power BI, to make the reports presentation-worthy. Citing slow runtimes when executing complex workflows, especially with large datasets, many users said that performance-wise, the solution is prone to infrequent crashes. Most of the users who discussed learning said that with documentation not being in sync with latest releases, training is a must to optimally use the tool. Overall, Alteryx Designer is a data science tool that, with its low-code approach and strong data wrangling capabilities, makes the journey from data acquisition to data insights seamless and promotes data literacy across organizations, though it might be better suited for medium- to large-sized organizations.