It's Time to Replace Spark

Xcalar - A Unified Platform for Analytics and AI

  • Next-Gen Data Engineering
  • SQL Analytics Across All Cloud Data
  • Data Apps with ML
  • Key Benefits

  • Use Spark SQL + Python
  • No multi-threaded programming needed
  • No Scala, RDDs, DataFrames, Executors, SDKs, etc.
  • Scale to 100s of nodes, 1000s of users, PBs of data
  • 10x cloud TCO savings over Spark
  • Transform gigabytes to petabytes of data with 5x developer productivity and 10x lower cloud TCO

    Xcalar Platform

    Our latest blog posts on data engineering and analytics

    Complex Business Logic Transformations and Log Processing with Xcalar

    Data Applications for Large Scale Data Transformations Made Easy – Part 3 CASE STUDY Introduction Previous blogs in this series: Part 1. Xcalar – The real “Spark“ behind Data Applications Part2. Accelerating Complex, Real-time Insights at a Top Global Investment Bank If you have not had a chance to read the first 2 parts of…

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    A Traffic Ticket Revenue Exercise in Xcalar: Part 3

    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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    Accelerating Complex, Real-time Insights at a Top Global Investment Bank 

    Data Applications for Large Scale Data Transformations Made Easy – Part 2 CASE STUDY  Introduction In this second blog of the Data Applications for Large Scale Data Transformations Made Easy series I want to tell you about how Xcalar improved developer productivity, reduced time to market and optimized production performance SLAs while reducing TCO (total…

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