Transform gigabytes to petabytes of data with 5x developer productivity and 10x lower cloud TCO


Scale to 100s of users, 1000s of nodes and petabytes of data

10x cloud TCO savings over Apache Spark

5x developer productivity using Spark SQL + Python
Our latest blog posts on data engineering and analytics
Data Applications for Large Scale Data Transformations Made Easy – Three-part blog
Part 1. Xcalar – The real “Spark“ behind Data Applications Introduction I want to start this three-part blog with a little introduction about Xcalar, and why I am excited to be here. Before joining Xcalar three years ago I spent most of my professional life building and managing Data and Analytics platforms at major Wall…
A Traffic Ticket Revenue Exercise in Xcalar: Part 2
Xcalar is perfect for running large scale data transformations and enrichment to seamlessly combine and analyze data. Loading data into the Xcalar platform opens the door to easily working with large datasets in order to efficiently garner knowledge and insights. In this exercise, we work with NYC car ticket records from a few years as…
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