Coco Alemana - Clean and manipulate data for analytics
Coco Alemana allows data scientists, analysts and engineers to interact with their datasets in an interactive, visual way. Extend your actions with full SQL support. Spend less time writing code and more time on your analysis.
Key Features
- Easy Install: Quick install, no dependencies, or code required. Get started in less than 2 minutes.
- Visual interface: Drag and drop columns from frame to frame. Re-order, cast, and group by with no code. Perform joins and unions just by dragging and dropping.
- Interactive Profiling: Users can interactively profile their data, see statistical information, and modify their dataset via the distributions charts. They can also merge multiple values via the value counts list.
- Work with Large Data: There's virtually no limit with the size of data you can work with. Work with a local file with 1 billion rows, or a remote data store with 50 billion rows.
- Data Quality: Automatically identify common data quality issues within your dataset. Updated automatically after every change
- Quick Actions: Jump to columns, open files, and make changes via extensive keyboard shortcuts.
- Live custom columns: Creating a new column shows the result in real time. No matter the data size.
- Unified SQL dialect: CocoSQL, a single, unified dialect to work with multiple data sources.
- Native autocomplete: Native autocomplete for all SQL, with full type support, and descriptions.
- SQL type checking: Automatically validate SQL before executing, preventing errors.
- Native support for Parquet: Apache Parquet is a first-class citizen in Coco Alemana, with operating system support for previewing, and instantly opening parquet files.
Benefits
- Time savings: Users can expect to save 30 min - 2 hours per day on data related tasks.
- More efficient exploration: Users can more easily explore their data, whether remote or local, complex or simple and make changes instantly.
- Less errors: Coco Alemana gives users real-time feedback to their changes, resulting in less errors.
- Heavily Integrated: No need to move from one platform to the other. Connect to Google and AWS without moving from console to console.
- Flexible: Advanced users don't have to worry about lack of flexibility. They can easily mix their expert knowledge of SQL with a slick, visual interface.
