There is widespread belief that moving to the public cloud lowers your IT costs. Though this might be true when you're getting started and experimenting with cloud services, cloud costs can quickly spiral out of control, with bandwidth and storage costs increasing rapidly as your use cases grow in number and complexity. With MapR inside your public cloud, you retain greater control of your cloud costs and can even reduce these costs by leveraging features that help minimize storage and bandwidth consumption.
MapR supports inline data compression ranging from 2x (lz4 compression) to 3x (zlib compression), which results in significant cost savings by using less disk-space and bandwidth, both of which get expensive quickly in most public cloud offerings. Additionally, by automatically tiering cold data to S3 cloud storage (available in the 6.1 release), costs are perfectly optimized for multi-temperature environments - all while keeping metadata in a single, unified namespace for easy accessibility and recall. Finally, eliminate the need to stitch together files, tables, and streams, and lower administration costs by using just a single cluster to store and analyze data in one place. With MapR in the cloud, you can meet production SLAs at a lower cost by not having to move data around.