JuiceFS for Biotech

Why JuiceFS？

Management of tens of billions of files

JuiceFS can efficiently handle tens of billions of files, making it ideal for managing genomic data, protein structures, microscopy images, and other large-scale datasets with high storage and retrieval efficiency.

Low-latency data access

By separating performance from capacity, JuiceFS leverages NVMe caching near compute nodes to significantly enhance read and write speeds. This meets the low-latency data access demands of workflows like molecular dynamics simulations and genome sequence analysis.

Cost-effective performance

JuiceFS' architecture delivers high-performance storage without relying on expensive hardware, striking a balance between performance, capacity, and cost to help enterprises optimize their budgets.

Comprehensive support for biotech orchestration tools

JuiceFS is fully compatible with widely used orchestration tools in genomics and other biotech workflows, including Nextflow, Cromwell, and Slurm.

Global deployment and collaboration

JuiceFS supports data mirroring and synchronization across multi-cloud environments, enabling biotech companies to access data seamlessly worldwide while optimizing cross-region data transfer costs and latency.

Open source

JuiceFS Community Edition is available under the Apache 2.0 license, allowing enterprises to adapt it flexibly to meet their specific needs.

Feature Overview

Distributed cache

Enhances performance by enabling multiple clients to share the same cache data.

Mirror file systems

Creates one or more file system mirrors with consistent content.

POSIX compatibility

Operates like a local file system, integrating seamlessly with existing applications without disrupting application operations.

JuiceFS CSI Driver

Provides an interface between container orchestration systems and JuiceFS file systems. In Kubernetes, JuiceFS can be used as persistent volumes for Pods.

JuiceFS S3 Gateway

Enables the JuiceFS file system to provide services via the S3 protocol, allowing applications to access files stored on JuiceFS using the S3 SDK.

Clone files or directories

Allows rapid cloning of files or directories by duplicating metadata without copying actual object storage data, regardless of the size of the files or directories.

MemVerge Chose JuiceFS: Small File Writes 5x Faster than s3fs

In bioinformatics workflows using Nextflow, the performance of shared storage systems is critical to efficiency. JuiceFS offers a high-performance shared storage solution, particularly excelling at managing large numbers of small files. Tests reveal that JuiceFS’ write speed is five times faster than s3fs, and its superior cost-efficiency makes it a preferred choice for processing complex bioinformatics datasets. [Learn more]

DP Technology: Optimizing Massive Small File Storage for Molecular Docking

Molecular docking generates massive data demands, especially for small files. For instance, one docking experiment produced approximately 600 million small files totaling 2.3 TB uncompressed (1.5 TB compressed), with an average file size of 4 KB. JuiceFS supports files of all sizes and demonstrates exceptional performance when handling small files. Its full POSIX compatibility also makes it ideal for AI workflows, particularly systems running Python-based services. [Learn more]