Search Results for "performance"

...This design achieves a balance between performance and simplicity, and developers can customize bucket sizes for specific workloads, with a default of 500 offering solid performance across common scenarios. SortedSet extends beyond traditional set semantics by providing indexing, random access, and slice operations thanks to its deterministic ordering.

Collection of thread-safe, asynchronous data structures. Whirlwind is a lightweight CSS framework focused on performance and simplicity, offering developers a minimal approach to styling web applications.

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. Cube has a built-in relational caching engine to provide...

OctoBase is a local-first, peer-to-peer database designed to power collaborative apps with real-time syncing and offline-first capabilities. Developed by the team behind Anytype, OctoBase ensures that data is owned and controlled by the user, using CRDTs (Conflict-free Replicated Data Types) to resolve changes across peers without needing a central server. It supports encrypted, schema-flexible data storage and enables seamless syncing across devices while maintaining privacy. OctoBase is...

...After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask or contribute to TensorBase. The committers are still around the community. We will help you in all kinds of interesting things pursued in the project by us and maybe you. We still maintain the project to look forward to meeting more database geniuses in this world, although no new feature will be added in the near future.

Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines.

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. So grab the data and start examining it. ...