Search Results for "data access layer"

Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. ...

Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale columnar datasets.

RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents).

jless is a command-line JSON viewer. Use it as a replacement for whatever combination of less, jq, cat and your editor you currently use for viewing JSON files. It is written in Rust and can be installed as a single standalone binary. Clean syntax highlighted display of JSON data, omitting quotes around object keys, closing object and array delimiters, and trailing commas. Expand and collapse objects and arrays so you can see both the high- and low-level structure of the data.