In Oxla we strive to be the fastest distributed analytical database, that’s why optimisations are extremely important to us.
The most commonly encountered type of database is a transactional database, commonly known as OLTP (Online Transaction Processing). PostgreSQL, MySQL, or MariaDB are the most popular examples of such database systems.
Nobody said building the world’s fastest distributed OLAP database would be easy. However, speed is not everything we aim for. One of the current hot topics at Oxla is external tools support.
Finite State Machines (FSM) is an abstract machine that can be in one of a finite number of states at any given time and can transition from one state to another in response to certain inputs. In this article, I will be introducing you to the FSM topic using C++ and ASIO.
Testing a big codebase can drive any developer insane. Tests require dependencies created in-place, just to satisfy the current scenario and forget about them.
Transparent HugePage (THP in short) is a mechanism that may be used in applications to utilize huge page support offered by the Linux kernel.
While developing OXLA, we are very concerned about resource utilization. It gets even more important when we are working with multi-node deployments.
We are thrilled to share the latest update of Oxla 1.3.0! Since the beta release, we've been working hard and are now dropping three releases – 1.1.0, 1.2.0, and the latest 1.3.0.
This article presents a polynomial time algorithm that computes a minimum valid subset of expressions and columns.
After three months of hard work, Oxla is now production-ready. So today, without further due, we would like to introduce you – drumroll, please – Oxla BETA!
The memory in modern computers and operating systems uses paged virtual address space. Paging means that the memory is divided into fixed-size areas.
Those who've read our first blog post know that at Oxla, we are committed to identifying and fixing even the smallest inefficiencies to improve performance.
Hi there! At Oxla, we've been working really hard to achieve exceptional performance. We have dedicated a lot of effort towards this goal, and we're thrilled to present our progress in the latest tech preview.
TL;DR: We're fast, efficient, and ready to revolutionize data analysis! 🚀 Join us for the upcoming tech preview!