Databases
Collection of databases including Relational (SQL), NoSQL, Graph, Vector, Time Series, and associated management tools.
Sub Collections
Graphical (GUI) and Command-line (CLI) tools for managing, querying, and visualizing data across SQL and NoSQL databases.
In-process databases and key-value stores.
Databases designed to treat the relationships between data as equally important to the data itself.
Key-value stores, document databases, and distributed object storage systems.
Columnar and analytical databases designed for high-performance queries on large datasets.
Traditional Relational Database Management Systems (RDBMS), modern distributed SQL (NewSQL) engines, and database clustering systems.
Databases optimized for storing and serving time-series data, widely used in IoT and monitoring.
Databases optimized for storing and querying high-dimensional vector embeddings, essential for semantic search and AI applications.