![]() Most importantly, Toucan makes reporting your data a breeze, with instant exports to PDF and other file types freeing up your IT department’s valuable time. The UI and navigation are also structured to provide context through headers, glossary sections, alerts, and descriptions to simplify technical aspects of your PostgreSQL data. Collaboration is emphasized throughout, with comment sections and annotation capabilities allowing users to share observations within the app. For companies hesitant about hiring data architects and developers to create visualizations and reports with their stored data, Toucan is the perfect solution.ĭata ownership, democratization, and context are the main focus of Toucan’s features. By connecting PostgreSQL to a data storytelling solution like Toucan, non-technical users can select the KPIs that tell their organization’s story to generate a lively and clear picture of its health. Structured data in PostgreSQL can only take you so far, and to most, it is still too raw to spark insights. Toucan’s performance on the day-to-day centers around an organization’s data story, which is helpful when trying to make sense of PostgreSQL data. To pair the two user-friendly solutions, Toucan supports one-click integration for PostgreSQL, seamlessly connecting to a user’s database. Just like PostgreSQL makes data warehouse management easier for non-technical users through English queries, Toucan’s 0-code embedded analytics make data visualization accessible for every business professional. We'll dive into how the top PostgreSQL stack up and where they perform the best.Īs the highest ranking embedded business intelligence solution according to G2, Toucan is the best solution for non-technical users. Today’s modern analytics solutions have powerful capabilities due to cloud-based technologies, and connecting to them can revolutionize how business professionals generate insights and contextual information.įinding an analytics solution to layer on top of PostgreSQL can be a difficult process since they cater to different users and use cases. Without a data analytics solution to layer on top of your stored data, that would be impossible. ![]() For example, you need to generate a report based on your PostgreSQL data and it needs to be ready by tomorrow. Investing in a data analytics solution can bring your stored data to life and there are many options available depending on a company’s use case. So what's the solution to making the best use of PostgreSQL data? While it can structure and prepare your data, it is often lacking when business users require insights. The biggest problem PostgreSQL users encounter stems from its functionality. All you have to do is enter simple English queries, and PostgreSQL will take care of formatting and arranging the data. PostgreSQL's specialty is data warehousing management, taking the complexity away for non-technical users.
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