FluidDATA
FluidDATA is an easy to use data preparation and ETL tool for cleaning, transforming, and moving data. It allows users to visually map data flows to prepare and move data between various sources and targets.
data-cleaning
data-transformation
etl
data-preparation
data-mapping
FluidDATA: Easy Data Preparation & ETL Tool
FluidDATA is an easy to use data preparation and ETL tool for cleaning, transforming, and moving data. It allows users to visually map data flows to prepare and move data between various sources and targets.
What is FluidDATA?
FluidDATA is a user-friendly extract, transform, and load (ETL) and data integration solution designed to help users prepare and move data. Some key features of FluidDATA include:
- Intuitive visual interface for mapping data flows between sources and targets
- Pre-built connectivity to databases, cloud apps, files, APIs and more
- Data cleansing tools for standardization, validation, matching, and more
- Transformation tools like filtering, joining, aggregation, and scripting
- Scheduling and automation capabilities
- Collaboration features to share and track data projects
- Role-based access control and top-tier security
FluidDATA makes ETL accessible for business users through its code-free graphical interface. It empowers both technical and non-technical users to easily combine data from across their systems into high quality, analysis-ready information. With robust connectivity and built-in data quality, FluidDATA drives insights and integration across the enterprise.
FluidDATA Features
Features
- Visual data mapping interface
- Drag-and-drop workflow designer
- Built-in data connectors
- Data transformation tools
- Scheduling and automation
- Data profiling and analysis
- Data validation
- Version control and audit trail
Pricing
- Free
- Freemium
- Subscription-Based
Pros
Intuitive visual interface
No coding required
Scalable data pipelines
Wide range of connectors
Powerful data transformation capabilities
Automation and scheduling
Data lineage tracking
Cons
Steep learning curve for advanced features
Limited native support for unstructured data
Not ideal for complex ETL processes
Lacks native data warehouse optimization
Official Links
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