Best Data Management Software for GeoSpock

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Open-source web application, the Jupyter Notebook, allows you to create and share documents with live code, equations, and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses.

Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.

Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.