AI Powered IDE with reporting capability
Oracle Fusion Cloud Querying Simplified
An Oracle partner, supporting connectivity to Oracle Fusion Applications Cloud HCM, ERP, SCM etc., in real time for quick insights and improved productivity.
Real Time Access to Data via SQL Queries
Connect at ease to Multiple Oracle Fusion ERP/HCM/SCM Pods in real time. Ability to run ad-hoc SQL queries to extract data in real time. Cloud database access in your finger tips.
Export to CSV/Excel
That's easy with Cloud SQL,
Extract data anywhere from Oracle ERP/SCM/HCM Pods and export directly to CSV or Excel format.
Copy selected rows/columns right from the data grid directly to EXCEL
Share/Analyze data with your peers, enable better data collaboration.
Leverage the data grid in-built filters. Don't have to modify the SQL query over and over again, to achieve data filtration.
Allow users to filter data within the grid dynamically. Filter dropdowns in the column headers, enables users to easily filter and search for specific values within each column.
It's a user-friendly and powerful feature for working with large datasets.
Fully Integrated Charting
With a complete suite of integrated charting tools, Cloud SQL users can visualize their data any way they choose.
Cloud SQL provides seamless incorporation of data visualization, such as charts and graphs, to analyze the data, which means that users can create, customize and interact with charts directly within our IDE , without the need to rely on external charting libraries or tools.
Cloud SQL ensures that charts also update in real-time as new data becomes available, providing users with current insights.
Users can easily share charts and export them for presentations, reports, or collaboration with others.
Visualize data in Pivot mode without extracting to Excel. Cloud SQL an IDE with reporting capabilities.
Cloud SQL allows users to perform pivot operations on data, for summarizing, aggregating, and reorganizing data to gain insights and perform calculations.
Users can interact with the pivot data in the grid by dragging and dropping columns into the pivot panel, creating pivot configurations to summarize and aggregate data dynamically.
Cloud SQL allows users to dynamically pivot and summarize data based on user interactions, making it a powerful tool for data analysis and reporting. It enables you to create pivot tables directly within the application, providing flexibility and interactivity for users.
Row Grouping allows rows to be grouped by columns with the grid performing a 'group by' operation on the rows supplied to the grid
Cloud SQL gives the ability to group rows in your data grid. Row grouping allows summarizing data hierarchically based on one or more columns.
It facilitates expanding and collapsing grouped rows. Users can interact with these elements to expand or collapse groups as needed.
Depending on your specific use case and requirements, you can further customize the grouping behavior, styling, and aggregation functions to create a powerful and interactive data grid.
Cloud SQL assists users to write better SQL Queries faster and with fewer errors, by providing the real-time suggestions and auto-complete capability for completing code based on the context of the SQL Query being written.
With syntax and error highlighting, Cloud SQL helps users to breeze through the errors if any, in real-time as you type, allowing you to catch and fix issues early in the development process
Could SQL significantly improves productivity by reducing the need to memorize code syntax and by helping developers discover available functions and methods within a codebase. It promotes code consistency and reduces common coding mistakes.
Cloud SQL's mini-map lets you quickly navigate through lengthy code, instantly move to desired sections of your code.
with high-level overview of your code's structure, It allows you to see where functions, classes, or important sections are located.
Cloud SQL highlights the errors, warnings, or other issues directly within the mini-map. which gives the visual feedback to quickly spot problematic areas, such as syntax errors or unresolved references.
Reducing the need for extensive scrolling or manual searching, the Minimap enhances productivity. It simplifies code navigation and exploration