To improve its behavior as a transactional and analytical processing (HTAP) database, LeanXcale provides a new feature for supporting online aggregations using a specifically created type for it. Find here […]
Online Aggregations in LeanXcale
Connecting LeanXcale with SCALA
Hi! Welcome back! In this new post, I will show you how to connect your Scala application to a LeanXcale database using the well-known JDBC library. I will also show […]
Building a Movie-Recommendation Engine with Spark and LeanXcale
This post demonstrates how to combine the use of Apache Spark and LeanXcale to build a simple movie-recommendation engine, taking advantage of the LeanXcale Spark connector and Spark’s machine learning […]
LeanXcale will Oversee the Technical Coordination of the New European Project Infinitech
The project, which has received 16 million euros in European funds and brings together some of the largest banks in Europe with IoT and Big Data companies, started in October […]
From MEAN to LEAN
In this post, I will show how we can use the LeanXcale database to build a web application following the MEAN framework, substituting MongoDB by LeanXcale, which gives birth to […]
YCSB – LeanXcale vs MariaDB
MariaDB is one of the most popular and widely adopted relational databases in the world. LeanXcale is an ultra-scalable relational database that includes NoSQL features to provide high insertion rates. […]