With compression there is no guaranteed ratio above 1:1. Some appliance vendors will promise, or even assume, a given compression ratio when calculating cost per TB. Effectively the limitation with 16+ cores will be memory speed. This is important to keep the responsiveness of individual requests up. S2 also allows for concurrent compression of multiple blocks when input is faster than what a single core can absorb. It also allows for matches longer than 64 bytes bytes to be effectively encoded, which is a pain point for Snappy. Secondly it adds “repeat offsets,” which offers compression improvements mainly to machine generated data, like log files, JSON, and CSV. First of all, it allows bigger blocks than the 64KB blocks allowed for Snappy streams. It is compatible with Snappy content, but has two format extensions. MinIO uses a compression method based on Snappy called S2. Transparent Compression at IO SpeedĬompression for MinIO has been developed to enable transparent compression without affecting the overall performance of the system. We want to offer an option to have this data compressed before it is stored on disks. However, for custom data, it is preferable to keep data in an uncomplicated format which doesn’t include a decompression step to access. Video and images are also typically compressed with domain-specific algorithms that offer better compression than generic formats. While there are widely used formats for image, video, and sound compression, most other data is stored as text, as JSON, CSV, or other similar text-based formats.įormats like Parquet, Avro, and ORC have optional compression, so typically these formats are already compressed when stored.

Most data is stored in easy to read file formats for easy application interoperability. We will look at the benefits of enabling compression, and how to fine-tune settings in MinIO. In this blog post we will discuss the transparent data compression options in MinIO. Integrations Browse our vast portfolio of integrations. Performance at scale for mission critical backup and restore Commvault Learn how Commvault and MinIO are partnered to deliver Veeam Learn how MinIO and Veeam have partnered to drive performanceĪnd scalability for a variety of backup use cases. VMware Discover how MinIO integrates with VMware across the portfolioįrom the Persistent Data platform to TKG and how we support With high-performance, Kubernetes-native object storage from

HDFS Migration Modernize and simplify your big data storage infrastructure On your data on any cloud - without having to move it. SQL Server Discover how to pair SQL Server 2022 with MinIO to run queries To move the data, just query using SnowSQL. Snowflake Query and analyze multiple data sources, including streamingĭata, residing on MinIO with the Snowflake Data Cloud.

Splunk Find out how MinIO is delivering performance at scale for While maintaining public cloud adjacency. Equinix Repatriate your data onto the cloud you control with MinIO on Equinix to lower costs Hybrid Cloud Effective multi-cloud storage strategies rely on utilizingĪrchitecture and tools that can function seamlessly acrossĭiverse environments. Modern Datalakes Modern, multi-engine datalakes depend on object stores thatĭeliver performance at scale. Is leading the AI storage market through performance at AI Storage Object storage is powering the AI revolution.

Gz compression ratio calculator