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Showing posts with the label Amazon

AWS vs Azure vs GCP: Cloud Web Services Comparison in Detail

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  The following post focuses on AWS, MS Azure, and GCP in detail. Learn more about each cloud service and how to choose the best one for your business needs.  Digitalization is being embraced by all of us across the globe, especially cloud computing technology. Whether it's because of its scalability or security or reduced costs, cloud platforms have sprung up to a great extent over a few years. Gone are the days when businesses were confused about whether to choose a cloud service provider or not. Now the confusion surrounds the question of which cloud service provider to use. AWS, Azure, and Google Cloud are our top three contenders. Recently, I happen to stumble upon an informative post focusing on AWS Lambda vs Azure Functions. I must say this one was quite detailed and well-structured. Here they have successfully covered all the aspects that are essential and dominating while we compare lambda vs azure. And I am pretty sure considering both the posts together will act a...

Actian VectorH architecture and Amazon Redshift benchmark papers

Actian Vector in Hadoop (VectorH for short) is a new SQL-on-Hadoop  system  built  on  top  of  the  fast  Vectorwise  analytical database system.  VectorH achieves fault tolerance and storage scalability by relying on HDFS, and extends the state-of-the-art in SQL-on-Hadoop systems by instrumenting  the  HDFS  replication  policy  to  optimize  read  locality. VectorH integrates with YARN for workload management, achieving a high degree of elasticity.  Even though HDFS is an append-only filesystem, and VectorH supports (update-averse) ordered tables, trickle updates are possible thanks to Positional Delta Trees (PDTs), a differential update structure that can be queried efficiently.  The paper describes the changes made to single-server Vectorwise to turn it into a Hadoop-based  MPP  system,  encompassing  workload  management, parallel  query  optimizat...