Visual Data Preparation (VDP)
DatabasesWhat is Visual Data Preparation (VDP)?
It is an open-source visual data ETL tool to streamline the end-to-end visual data processing pipeline. It is implemented with microservice and API-first design principles. Instead of building all components from scratch, it adopts sophisticated open-source tools.
Visual Data Preparation (VDP) is a tool in the Databases category of a tech stack.
Key Features
Open-sourceVisual data ETLStreamline the end-to-end visual data processing pipelineExtract unstructured visual data from pre-built data sources such as cloud/on-prem storage, or IoT devicesTransform it into analysable structured data by Vision AI modelsLoad the transformed data into warehouses, applications, or other destinations
Visual Data Preparation (VDP) Pros & Cons
Pros of Visual Data Preparation (VDP)
No pros listed yet.
Cons of Visual Data Preparation (VDP)
No cons listed yet.
Visual Data Preparation (VDP) Alternatives & Comparisons
What are some alternatives to Visual Data Preparation (VDP)?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
