Why You Should Consider Multi-Cloud Replication
An Apache Spark-based metadata search for expanded insight to understand data.
Clueso makes it easy to interpret petabyte-scale data and easily manipulate it on any cloud to separate high-value information from data noise. It provides the ability to subset data based on key attributes.
A policy-based data management engine used for seamless data replication, data migration services or extended cloud workflow services like cloud analytics and content distribution.
Most tools available today apply some sort of a post-treatment to data when putting it to the cloud. It might be compression, splitting it into multiple parts, or simply adding metadata straight into it.
Regardless of the post-treatment, once applied, the only tool you’ll be able to use to read your data is the tool you used to put it, which is frustrating when you use multiple clouds.
Zenko solves that problem for you by uploading your raw data to the cloud you choose. No need to download a copy anymore to be able to read your object: simply compute and read from any cloud browser!
Providing a single AWS S3 API set and 360° access to any cloud. Developers want to have an abstraction layer allowing them the freedom to use any cloud at any time.
Scality Zenko provides a single unifying interface using the Amazon S3 API, supporting multi-cloud backend data storage both on-premises and in the Amazon S3 public cloud as well as other services, including: Available now for Amazon S3, Scality RING and Docker. Coming soon for other cloud platforms.