Message from the Kx COO Mark Sykes
29 May 2018 | By Mark Sykes, COO Kx A couple of weeks ago, I had the pleasure of meeting hundreds of our community at the Kx25 event in New York City. Kx enjoys a hugely...
Operational Database Management Systems
29 May 2018 | By Mark Sykes, COO Kx A couple of weeks ago, I had the pleasure of meeting hundreds of our community at the Kx25 event in New York City. Kx enjoys a hugely...
By Ayush Parashar, Co-Founder and Vice President of Engineering, Unifi Software The challenge of controlling and protecting data is a big one, but the bigger question is how to make people more productive with...
By Philip Rathle, VP of Products | May 17, 2018 Author’s note: What a hectic week in the world of Neo4j! In addition to finalizing the delivery of Neo4j 3.4, we simultaneously built the GQL Manifesto,...
GeoMesa: A suite of tools that enables large-scale geospatial query and analytics on distributed computing systems. GeoMesa supports query results in the Arrow IPC format, which can then be used for in-browser visualizations and/or...
libgdf: A C library of CUDA-based analytics functions and GPU IPC support for structured data. Uses the Arrow IPC format and targets the Arrow memory layout in its analytic functions. This work is part...
Perspective: Perspective is a streaming data visualization engine in JavaScript for building real-time & user-configurable analytics entirely in the browser.
Quilt Data: Quilt is a data package manager, designed to make managing data as easy as managing code. It supports Parquet format via pyarrow for data access.
Ray: A flexible, high-performance distributed execution framework with a focus on machine learning and AI applications. Uses Arrow to efficiently store Python data structures containing large arrays of numerical data. Data can be accessed...
Red Data Tools: A project that provides data processing tools for Ruby. It provides Red Arrow that is a Ruby bindings of Apache Arrow based on Apache Arrow GLib. Red Arrow is a core...
Turbodbc: Python module to access relational databases via the Open Database Connectivity (ODBC) interface. It provides the ability to return Arrow Tables and RecordBatches in addition to the Python Database API Specification 2.0.