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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Amazon EBS vs RocksDB

Amazon EBS vs RocksDB

OverviewComparisonAlternatives

Overview

Amazon EBS
Amazon EBS
Stacks654
Followers542
Votes82
RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K

Amazon EBS vs RocksDB: What are the differences?

Introduction:

Amazon Elastic Block Store (EBS) and RocksDB are both storage technologies used in different contexts. Understanding their key differences is important in order to choose the appropriate storage solution for specific use cases.

  1. Flexibility of Data Storage:

    • Amazon EBS: It provides block-level storage volumes that can be attached to Amazon EC2 instances. The data is stored in these blocks, which can be accessed and modified directly by the instances.
    • RocksDB: It is an embedded database library that stores data on disk or solid-state drives (SSDs). It is optimized for local storage and provides key-value access to the data.
  2. Scalability and Performance:

    • Amazon EBS: It offers scalable storage volumes that can be attached to EC2 instances, allowing storage capacity to be increased or decreased as needed. It provides consistent low-latency performance for most workloads.
    • RocksDB: It is designed for scalable workloads and can handle large amounts of data efficiently. It utilizes a variety of techniques to optimize performance, such as memory caching and multi-threading.
  3. Data Durability and Availability:

    • Amazon EBS: It automatically replicates volumes within an Availability Zone (AZ) to protect against failures of individual components. It also offers the ability to create snapshots of volumes for long-term data durability.
    • RocksDB: It does not provide built-in data replication or snapshot capabilities. Data durability and availability must be managed at the application level.
  4. Cost and Pricing Structure:

    • Amazon EBS: It has a pay-as-you-go pricing model based on the size of the storage volumes provisioned. Additional charges may apply for features like data transfer and snapshots.
    • RocksDB: It is an open-source software library, so there are no upfront costs associated with using it. However, costs may be incurred for hardware and infrastructure needed to support the deployment of RocksDB.
  5. Deployment Options:

    • Amazon EBS: It is a cloud-based storage service offered by Amazon Web Services. It can be easily provisioned and managed using AWS management tools.
    • RocksDB: It can be deployed on-premises or in the cloud, giving users flexibility in choosing their infrastructure setup. It can be integrated into various programming languages and frameworks.
  6. Data Consistency and Replication:

    • Amazon EBS: It provides synchronous replication within an AZ, ensuring that data changes are immediately replicated to multiple storage nodes. This offers strong data consistency guarantees.
    • RocksDB: It does not provide built-in synchronous replication. Replication and data consistency can be achieved through custom application logic or by leveraging other distributed storage systems.

In Summary, Amazon EBS is a cloud-based block storage service, offering flexibility, scalability, and data durability, while RocksDB is an embedded database library optimized for local storage and high-performance workloads. The key differences between them include flexibility of data storage, scalability and performance, data durability and availability, cost and pricing structure, deployment options, and data consistency and replication.

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Detailed Comparison

Amazon EBS
Amazon EBS
RocksDB
RocksDB

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Amazon EBS allows you to create storage volumes from 1 GB to 1 TB that can be mounted as devices by Amazon EC2 instances. Multiple volumes can be mounted to the same instance.;Amazon EBS enables you to provision a specific level of I/O performance if desired, by choosing a Provisioned IOPS volume. This allows you to predictably scale to thousands of IOPS per Amazon EC2 instance.;Storage volumes behave like raw, unformatted block devices, with user supplied device names and a block device interface. You can create a file system on top of Amazon EBS volumes, or use them in any other way you would use a block device (like a hard drive).;Amazon EBS volumes are placed in a specific Availability Zone, and can then be attached to instances also in that same Availability Zone.;Each storage volume is automatically replicated within the same Availability Zone. This prevents data loss due to failure of any single hardware component.;Amazon EBS also provides the ability to create point-in-time snapshots of volumes, which are persisted to Amazon S3. These snapshots can be used as the starting point for new Amazon EBS volumes, and protect data for long-term durability. The same snapshot can be used to instantiate as many volumes as you wish. These snapshots can be copied across AWS regions, making it easier to leverage multiple AWS regions for geographical expansion, data center migration and disaster recovery.;AWS also enables you to create new volumes from AWS hosted public data sets.;Amazon CloudWatch exposes performance metrics for EBS volumes, giving you insight into bandwidth, throughput, latency, and queue depth. The metrics are accessible via the AWS CloudWatch API or the AWS Management Console. For more details, see Amazon CloudWatch.
Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors
Statistics
GitHub Stars
-
GitHub Stars
30.9K
GitHub Forks
-
GitHub Forks
6.6K
Stacks
654
Stacks
141
Followers
542
Followers
290
Votes
82
Votes
11
Pros & Cons
Pros
  • 36
    Point-in-time snapshots
  • 27
    Data reliability
  • 19
    Configurable i/o performance
Pros
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed

What are some alternatives to Amazon EBS, RocksDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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