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Using JuiceFS in Big Data Platforms

Background and Challenges

The Hadoop ecosystem based big data analytics platform is very popular, and its built-in storage system HDFS has a lot of management and maintenance to do when it comes to big data and files, there is a consensus in the community about the limits to its ability to expand and the operational challenges. JuiceFS solves those problems by designing for the cloud, providing users with fully managed service, no maintenance, and managing tens of billions of files on a single file system, making it an ideal data storage option for public cloud big data platforms.

When companies using Hadoop migrate from the IDC to the public cloud, the first challenge is how to migrate the data stored in HDFS. Typically, the public cloud does not provide a fully managed HDFS solution, and customers still have to run it themselves. In addition, although HDFS is a common choice for self-built data storage systems, it does not fit well with existing storage products in the public cloud, and can not take advantage of the flexibility of the public cloud, making it less effective.

There are also many problems with using object storage for big data platforms. Object storage is not a file system and lacks some features that are heavily relied on by computing components such as Hadoop and Spark, such as strong consistency, atomic renaming, etc. .

As a file system based on object storage, JuiceFS maintains the advantages of flexible, no-maintenance and low cost of object storage, and provides strong consistency, high performance and high availability metadata service, to ensure the correct, stable and efficient execution of large-scale data analysis tasks.

Here\'s how JuiceFS can do things faster, cheaper, and easier on a petabyte scale.

The Benefits of JuiceFS for Hadoop Users

  • Lower Storage Cost

    Unlike HDFS, JuiceFS is a fully managed storage solution that does not require CPU and memory overhead to maintain services or more than three times the amount of storage space pre-deployed.

    It relies on object storage systems to provide redundancy and durability guarantees. With the same amount of data, JuiceFS can reduce HDFS storage costs by one data size. For the same amount of data, JuiceFS can save 70% .

  • No stop-the-world garbage collection (GC) on NameNodes

    HDFS is written in Java and suffers from stop-the-world garbage collection issues that cause the entire cluster to stop processing at unpredictable times. JuiceFS has no such limitations.

  • No continuous capacity management/tuning

    HDFS usually requires ongoing capacity planning and management, and continues to scale vertically or horizontally to meet changing storage needs.

    And JuiceFS is completely flexible, only need to pay for the actual usage, no need to do capacity planning and capacity expansion operation.

  • No HA management

    HDFS requires continuous monitoring and maintenance operations to ensure high availability of services, JuiceFS as a highly available service will have a dedicated team to help you solve these problems. A more efficient failover solution will also provide higher availability than HDFS.

  • No expensive Professional Services contracts that price-scale to the size of your cluster

    Due to the complexity of HDFS, many companies buy expensive third-party professional services to ensure the stable operation of HDFS.

    JuiceFS as a fully managed service, its price already includes professional services, we will be responsible for the reliable and stable operation of JuiceFS, allowing you to put cash and energy where you need more.

  • Replicate across all regions/zones or across heterogeneous cloud providers.

    HDFS does not support remote data replication, customers need to design and implement other complex data replication programs, the effect is very limited.

    JuiceFS allows you to copy data to any area of any cloud, allowing you to access the same data very efficiently both at the same time, and seamlessly migrate computing tasks between two public clouds or two regions.

  • Mirror all or part of your data to any place around the world in near real-time.

    JuiceFS also provides nearing real-time data mirroring of any of the public clouds and regions around the world, with only seconds of data latency while ensuring data consistency.

  • Data Privacy

    JuiceFS clients installed on your VM communicate with the object store directly, and your data will never go through our servers or third-party proxies to guarantee the absolute privacy of your data.

    Data replication is done entirely through the client on your VM.