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GCP: All content tagged as GCP in NoSQL databases and polyglot persistence

Performance advantages of the new Google Cloud Storage Connector for Hadoop

This guest post by Mike Wendt from Accenture Technology provides some very good answers to the questions I had about the recently announced Hadoop connector for Google Cloud Storage: how does it behave compared to local storage (data locality), what the performance of accessing Google Cloud Storage directly from Hadoop, and, last but essential for cloud setups, what are the cost implications:

From our study, we can see that remote storage powered by the Google Cloud Storage connector for Hadoop actually performs better than local storage. The increased performance can be seen in all three of our workloads to varying degrees based on their access patterns. […] Availability of the files, and their chunks, is no longer limited to three copies within the cluster, which eliminates the dependence on the three nodes that contain the data to process the file or to transfer the file to an available node for processing.

[…] This availability of remote storage on the scale and size provided by Google Cloud Storage unlocks a unique way of moving and storing large amounts of data that is not available with bare-metal deployments.

If you are looking just for the conclusions:

First, cloud-based Hadoop deployments offer better price-performance ratios than bare-metal clusters. Second, the benefit of performance tuning is so huge that cloud’s virtualization layer overhead is a worthy investment as it expands performance-tuning opportunities. Third, despite the sizable benefit, the performance-tuning process is complex and time-consuming and thus requires automated tuning tools.

✚ Keep in mind though that this study was posted on the Google Cloud Platform, so you could expect the results to beat the competition.

Original title and link: Performance advantages of the new Google Cloud Storage Connector for Hadoop (NoSQL database©myNoSQL)


MongoLab offers MongoDB on Google Cloud Platform

This was fast:

This week at Google I/O we are launching support for MongoLab‘s fifth cloud provider – Google Cloud Platform. You can now use MongoLab to provision and manage MongoDB deployments on Google Compute Engine (GCE)!

Good move for MongoLab and good win for MongoDB users. I’ve read a lot of good things about Google’s Cloud Platform.

Original title and link: MongoLab offers MongoDB on Google Cloud Platform (NoSQL database©myNoSQL)


Google Cloud Platform Is the Biggest Deal in IT Since Amazon Launched EC2

Remember what I was writing in the state of Hadoop market about having a second option for on-demand cloud-based Hadoop services? Benjamin Black compares Google Cloud Platform with Amazon services:

  • Cloud Engine is a lot like EC2 & EBS
  • Cloud Storage is a lot like S3
  • Cloud SQL is a lot like RDS
  • Analytics can be used like CloudWatch (and I know of people putting billions of their own data points in Analytics)
  • BigQuery has no AWS equivalent, but maybe you could build it with EMR?
  • PageSpeed has no AWS equivalent

Hadoop and MapR are already listed as possible use cases for Google Cloud Platform.

I don’t think I could write a better conclusion than Black did in his post:

This is big, planetary scale infrastructure. This is cloud legitimized and super-sized. In the words of the prophet: Shit just got real.

Original title and link: Google Cloud Platform Is the Biggest Deal in IT Since Amazon Launched EC2 (NoSQL database©myNoSQL)