S3 scales vertically and automatically according to your current data usage, without any need for action on your part. This is feasible but more costly and complicated than S3. If you want to increase your storage space, you'll either have to add larger hard drives to existing nodes or add more machines to the cluster. HDFS relies on local storage that scales horizontally. The showdown over scalability comes down to the question of horizontal versus vertical scalability. These objects are stored in buckets, which function similarly to folders or directories and which live within the AWS region of your choice. The basic storage unit of Amazon S3 is the object, which comprises a file with an associated ID number and metadata. According to Amazon, the benefits of S3 include "industry-leading scalability, data availability, security, and performance." What Is Amazon S3?Īmazon S3 (Simple Storage Service) is a cloud IaaS (infrastructure as a service) solution from Amazon Web Services for object storage via a convenient web-based interface. Because files in HDFS are automatically stored across multiple machines, HDFS has built-in redundancy that protects against node failures and data loss. The NameNode keeps track of the data's location, while the DataNodes are tasked with storing and retrieving this data. The HDFS layer of a cluster comprises a master node (also called a NameNode) that manages one or more slave nodes, each of which runs a DataNode instance.
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A project of the Apache Software Foundation, HDFS seeks to provide a distributed, fault-tolerant file system that can run on commodity hardware.
HDFS (Hadoop Distributed File System) was built to be the primary data storage system for Hadoop applications. Difference #5: HDFS excels when it comes to performance, outshining S3.Difference #4: S3 is more cost-efficient and likely cheaper than HDFS.Difference #3: Data in S3 is always persistent, unlike data in HDFS.Difference #2: When it comes to durability, S3 has the edge over HDFS.Difference #1: S3 is more scalable than HDFS.The main differences between HDFS and S3 are: in battle!īefore we get started, we'll provide a general overview of S3 and HDFS and the points of distinction between them. So what's all the hype about with S3, and is S3 better than HDFS for Hadoop cloud data storage? To understand the pros and cons of HDFS and S3, let's resolve this tech rivalry. Companies such as Netflix have used this compatibility to build Hadoop data warehouses that store information in S3, rather than HDFS.
While Apache Hadoop has traditionally worked with HDFS, S3 also meets Hadoop's file system requirements. When it comes to Apache Hadoop data storage in the cloud, though, the biggest rivalry lies between the Hadoop Distributed File System (HDFS) and Amazon's Simple Storage Service (S3).
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History is full of great rivalries: France versus England, Red Sox versus Yankees, Sherlock Holmes versus Moriarty, Ken versus Ryu in Street Fighter.
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