Informatica Announces First Cloud Archiving Service Optimized For Databases

This is my first blog for Perspectives and I wanted to talk about one of last week’s announcements -Informatica introduced the first ever cloud archiving service optimized for databases.   Since then, I’ve had a number of questions from customers and analysts about what exactly makes it optimized?   Certainly, a number of vendors have the ability to land data in the cloud, so how is this different?  Let me capture the highlights:

  • The data is massively compressed before transmission-close to 60:1. That can take the upload time down from days or weeks to hours or minutes. No need to constantly mail DVDs to Amazon to get data on S3.
  • The data is encrypted-both during transmission and when it lands in the cloud. You can have complete confidence in the security of your information.
  • All data uploaded is automatically copied to a secondary zone to ensure full recoverability in case of disaster.
  • You can restore the data at any time and when you need to access the data, you can use any standard business intelligence or reporting tool-including Excel.
  • All the query processing is handled in the cloud-without uncompressing the data and without the cost or hassle of database. Everything is automatically indexed — there is nothing to tune.
  • Plus, you get to leverage the elastic compute to handle utilization spikes that occur around eDiscovery, or compliance events.

All of this for $1/GB?  You bet.  Nothing could be simpler.  No bandwidth or I/O costs.  No processing costs, no separate disaster recovery solution, and no rack space, or power to provision.  More importantly, zero database licenses and zero database administration.  This is more than just a bottomless pit of NAS in the sky, this is an optimized service that ensures customers can cost effectively retain and access large amounts of data for extended periods of time.  Use just what you need when you need it — adding capacity as increasing volumes of dormant transactions accumulate, or purging data based on retention policies.

To learn more, check out the demo.

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