Format Options

Zilliz Cloud supports importing data in various formats, including Parquet (recommended), JSON, and NumPy files. In this section, you will find the procedures for importing data in these formats and the aspects you should pay attention to to.

Parquet (Recommended)

Apache Parquet is an open-source, column-oriented data file format designed for efficient data storage and retrieval. It offers high-performance compression and encoding schemes to manage complex data in bulk and is supported in various programming languages and analytics tools tools. | BYOC

JSON/JSON Line

JSON is a lightweight, human-readable data format that machines can parse and generate easily. Language-independent, it follows conventions familiar to C-family language programmers, making it an ideal data interchange format. | BYOC

NumPy

The `.npy` format is NumPy's standard binary format](https//numpy.org/devdocs/reference/generated/numpy.lib.format.html) for saving a single array, including its shape and dtype information, ensuring it can be correctly reconstructed on different machines. You are advised to use [the BulkWriter tool to prepare your raw data into Parquet files. The following figure demonstrates how your raw data can be mapped into a set of `.npy` file. | BYOC