Manage & Scale
Manageability of Data at Massive Scale
One of the key design principles of the RainStor Database is ease of management of data at massive scale. RainStor provides unique scale in terms of both data loading rates and more importantly scale as data volumes grow over time to accommodate future growth rates, which is especially important as compliance regulations become more stringent.
RainStor is easy to install and set-up and an end-user can be trained in a week or less. Because RainStor understands SQL Query language, there is no need for any specialist DBA skills to run and manage the product, which directly impact the total cost of ownership.
RainStor is efficient in loading thousands of records per second; it splits the file into chunks of say one million records, which are then processed in parallel, streamed in across a number of CPU’s or servers at the same time. This ultimately provides data load rates typically 10x faster than a traditional RDBMS.
RainStor’s ‘lock and leave’ approach makes it simple to manage and easy to maintain. Without the need to design indexation strategies, manage table space to file to disk mappings, set hundreds of parameters appropriately and consistently tune to keep everything in balance, RainStor dramatically reduces operational costs in comparison with similar sized OLTP or OLAP deployments.
RainStor provides unique scale in terms of both data volume loading rates but more importantly scale as volumes grow over time to accommodate future growth rates which is especially important as compliance regulations become more stringent.
As data volumes grow to petabyte scale, RainStor relies on it’s massive compression and de-duplication to do far more with less and essentially use this as a hardware multiplier utilizing smaller amount of storage, less CPU and less network I/O operations and whereby the underlying hardware and storage platforms can be easily extended to meet additional demand.