gravitys169 | August 6, 2021

Modern analytics engines play a crucial role in serving businesses with real-time analysis at low latency and cost amidst data explosion in scale and variety. Moreover, present-day applications expect these systems to deliver high query concurrency and high throughput while supporting queries over both structured and unstructured data. To satisfy these requirements, modern analytics engines and databases often rely on the compilation of query plans to native code. Hand-written operators such as FILTER, GROUPBY, and JOIN, typically contain control flows required to process different parameters and data types.

Arjun Krishna | July 20, 2021

Improvements to openLookeng’s Memory Connector in v1.3.0, including benchmarking results

openLooKeng | June 30, 2021

To continuously provide partners with an optimal data analysis experience, openLooKeng iterates once every three months, with the most recent version (openLooKeng v1.3.0) released in June 2021. Based on partners' experience and suggestions, we enhanced existing features, and introduced new features to improve the engine performance.

openLooKeng | March 31, 2021

In this March, openLooKeng V1.2.0 was released. Based on partners' experience and suggestions, some new technologies are applied to improve the engine performance and provide better experience.