AWS’s Redshift Gives You Data Warehousing at Scale
Redshift was announced at the end of 2012, and went live in February of this year. It’s already the fastest growing service on AWS. Sr. Product Manager, AWS Rahul Pathak stopped by theCUBE to talk with the host Dave Vellante about anything and everything RedShift. Redshift is a data warehouse for the cloud. The flexibility of changing configurations based on data needs is a prime differentiator for Redshift. It is a analytical data warehouse that is optimized for large scale data. The end product? Really (dramatic pause) really fast answering to your data queries.
Okay, let’s give a Redshift 101:
- SQL based relational warehouse
- Massive parallelled cluseters
- Automatically redistributes your data
- Stores in columns on drives, Columnar system
Pathak discussed that a large cluster of customers are using cloud storage as a central data repository. As far as NoSQL and in-memory, AWS’s standpoint is that one size does not fit all. Redshift aims to be a great tool for data warehousing while offering high levels of granularity for other AWS services. Redshift is seeing plenty of partner integration too. Data warehousing fits well into the cloud ecosystem. He confirmed they have data loading and integration partners, BI partners (visualize and analyze the data), and services and system integration partners.
In case you missed it the first time I said it, Redshift is the fastest growing service in AWS, and it launched 2 months ago. Rollout will continue to follow the customer, as there are currently 3 stateside and 1 in Dublin ecosystems. The provisioning of databases will continue to be a selling point for Redshift as the hours vs. weeks baseline point is pretty compelling. Ease of provisioning, scaleability, and price points
What’s exciting to you in this database world?
I love the pace of change, it’s pretty spectacular…We’re solving a lot of age old problems in new ways.
AWS’s Redshift. Changing the cloud database world day by every new day.
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