Summary
Aduct DB is an open-source SQL OLAP database optimized for columnar data storage, making it ideal for analytics and IoT applications. Released in 2019, it is designed to be fast, embedded in various devices, and efficient in processing large datasets. Users can easily start using it from the terminal, execute select statements, and import data from different formats such as CSV, parquet, JSON, or HTML. Its execution engine supports parallel operations, making it suitable for transactional workloads, while also capable of handling time series data and performing aggregate functions like group by.
Introduction to Aduct DB
Aduct DB is an open-source fast embeddable SQL OLAP database developed in the Netherlands in C++ and first released in 2019. It is described as SQL light for columnar data.
Deployment and Flexibility
Aduct DB is deployed as a single binary with no dedicated database, allowing it to be embedded in various devices like smartphones. It stores data column-wise, which is great for analytics and IoT applications.
Optimized Data Storage
Aduct DB's storage is optimized for columns, enabling faster data processing, filtering, and performance with large datasets. It utilizes an execution engine for parallel operations, making it suitable for transactional workloads.
Getting Started and Querying Data
Users can start using Aduct DB by executing a command from the terminal. It supports querying with select statements and importing data from CSV, parquet, JSON, or HTML formats. The database is capable of handling time series data and performing aggregate functions like group by.
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