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Default storage for Label Studio annotation data

Overview

Combine the power of Label Studio’s flexible software with SQLite, the world’s most widely used database engine. With a stable, cross-platform, and backward-compatible file format — SQLite is a great way to store your annotation project data.

Label Studio uses SQLite by default — no configuration needed. The labels are stored in a single file in the specified directory of the admin user. The entire database, definitions, tables, indices, and data are all stored within this directory.

Benefits

Integrating SQLite with Label Studio provides the following benefits:

  • Data Analysis: Analyze large datasets using SQL or SQLite access programs to review your data in various ways. SQLite is flexible enough to work with Tcl and Python (both have SQLite built-in) or use R or other languages with adaptors. Integrating SQLite with Label Studio provides the following benefits:
  • Flexibility: SQLite allows folks to store content in any format, regardless of the datatype of each column. Additionally, SQLite databases have a broad flexibility and set of use cases across many platforms, making it a very interoperable solution.
  • File Archive: SQLite allows storing very rich metadata in a small ZIP archive in a highly compatible format, making it an ideal solution for any archiving data.
  • Data Transfer Format: SQLite is a highly-compatible, widely-used, cross-platform format. This allows for the safety and integrity of your data as you or your organization scales. With many open-source tools available for decoding the data in many ways, SQLite has become a popular option for data transfer.

Integrating SQLite with Label Studio provides a powerful tool for storing, managing, and analyzing annotation data, which can help in various stages of the data annotation process, such as quality control and data analysis.

Related Integrations

PostgreSQL

Advanced relational storage for data annotations

Redis

High-speed cache for annotation data