In this post, I show how to set up a local LeanXcale environment using Docker and Docker Compose for development purposes. This is very useful in development environments when we […]
YCSB – KiVi vs DynamoDB
Today, NoSQL databases are widely used with key-value datastores being one of the most used of all database varieties. The key-value database is designed for storing, retrieving, and managing associative […]
Linear Scalability, the Bottleneck of SQL Databases
INTRODUCTION Today, companies are storing more data compared to years ago, which creates a need for systems capable of storing and processing so much information. The data generated and stored […]
GIS Support on LeanXcale
Geospatial data refers to objects (in the wide sense of the object word) that may have a representation on the surface of the earth. These representations can be locations (points), […]
Tweet Sentiment Analysis on a LeanXcale Database
In previous posts, we showed how to stream Twitter data into a LeanXcale database using a direct API. In today’s post, I will demonstrate how to perform analytical queries using SQL […]
Streaming Twitter Data into a LeanXcale Database
Recently, I read a post about streaming Twitter data into a MySQL database to filter and store tweets for further analysis. Today, I want to share how to do the same using […]
Interview with Patrick Valduriez
Top database researcher and new scientific advisor at LeanXcale, Patrick Valduriez, talks to us about the latest trends on database world, his new position at LeanXcale, and the upcoming edition […]
My Visit to the MIT
Originally posted by Ricardo Jimenez on LinkedIn https://www.linkedin.com/pulse/my-visit-mit-ricardo-jimenez-peris/ Taking advantage of my visit to Boston due to our stand at Enterprise Data World, I visited a couple of groups in […]
Top Database Researcher Patrick Valduriez Joins LeanXcale Team
We are happy to announce that Patrick Valduriez has now joined LeanXcale as scientific advisor! Patrick is a senior scientist at Inria, a world famous research organization in computer science […]