Typical Use Cases

📄️ Builde Real-Time Wide Table with TapFlow

TapFlow is a programming framework that supports real-time data replication, data processing, and materialized view creation. It offers APIs, a Python SDK, and command-line tools (Tap Shell) to efficiently build and manage data flow tasks. This guide demonstrates using Tap Shell and the Python SDK to build a real-time wide table to support efficient queries in an e-commerce application by joining multiple tables of order information.

📄️ Expand MongoDB Arrays to MySQL in Real Time with TapFlow

TapFlow offers powerful data transformation and processing capabilities, enabling seamless conversion of nested array structures in document models to relational table structures. This guide demonstrates how to unfold nested arrays from MongoDB documents and synchronize them in real-time with MySQL flat tables, supporting efficient relational database queries and data analysis.

📄️ Consolidate and Standardize Multi-Table Data with TapFlow

TapFlow offers robust data transformation and integration capabilities, enabling the consolidation of multiple regional MySQL inventory tables into a unified MongoDB collection. This case study demonstrates how to leverage TapFlow's processing power to standardize and merge Point-of-Sale (POS) inventory data from different regions into a unified collection in MongoDB, supporting unified inventory queries and analytics across regions.