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  1. Stackups
  2. Application & Data
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  5. Cassandra vs Openstack Swift

Cassandra vs Openstack Swift

OverviewDecisionsComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Openstack Swift
Openstack Swift
Stacks33
Followers91
Votes0

Cassandra vs Openstack Swift: What are the differences?

Introduction

Cassandra and OpenStack Swift are both widely-used technologies in the field of data storage and management. While they serve similar purposes, there are some key differences between the two that set them apart. In this article, we will explore the main differences between Cassandra and OpenStack Swift.

  1. Data Model: Cassandra is a NoSQL database, meaning it offers a flexible data model where data is organized in a key-value manner. It supports a wide range of data types and allows for easy horizontal scalability. On the other hand, OpenStack Swift is an object storage system, where data is stored and retrieved using unique object identifiers. It does not provide the same level of flexibility as Cassandra in terms of data modeling.

  2. Consistency Model: Cassandra offers tunable consistency, allowing users to configure the desired level of consistency for their operations. It provides options like eventual consistency and strong consistency, making it suitable for a wide range of use cases. In contrast, OpenStack Swift follows an eventual consistency model, which means that data updates may take some time to propagate across the system.

  3. Replication Strategy: Cassandra uses a masterless replication strategy called peer-to-peer replication. This allows for high availability and fault tolerance as data is distributed across multiple nodes in the cluster. OpenStack Swift, on the other hand, uses a master-slave replication strategy, where data is replicated from a master node to multiple slave nodes. This replication strategy may result in a performance overhead compared to Cassandra's peer-to-peer replication.

  4. Query Language: Cassandra uses Cassandra Query Language (CQL) as its query language, which is similar to SQL but with some differences and added functionality specific to Cassandra. CQL provides a familiar syntax for SQL developers and allows for querying and manipulating data in Cassandra. OpenStack Swift, being an object storage system, does not provide a dedicated query language. Instead, it relies on API calls for data retrieval, making it less suitable for complex querying operations.

  5. Scalability: Cassandra is designed to be highly scalable and can handle massive amounts of data and high write and read loads. It achieves scalability through its distributed architecture and allows for easy addition and removal of nodes in the cluster. OpenStack Swift also supports scalability, but it may not be as inherently scalable as Cassandra due to its reliance on master-slave replication and the overhead it introduces.

  6. Use Cases: Cassandra is well-suited for use cases that require high availability, fault tolerance, and real-time data processing at scale. It is commonly used for time-series data, messaging platforms, and other applications where data needs to be written and read rapidly. OpenStack Swift, on the other hand, is primarily used for storing large amounts of unstructured data, such as media files or backups, and providing reliable storage for cloud-based applications.

In Summary, Cassandra and OpenStack Swift differ in their data models, consistency models, replication strategies, query languages, scalability, and use cases.

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Advice on Cassandra, Openstack Swift

Vinay
Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k
Comments

Detailed Comparison

Cassandra
Cassandra
Openstack Swift
Openstack Swift

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.

It is a highly available, distributed, eventually consistent object/blob store. Organizations can use Swift to store lots of data efficiently.

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Distributed; consistent; Object/blob store
Statistics
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
3.8K
GitHub Forks
-
Stacks
3.6K
Stacks
33
Followers
3.5K
Followers
91
Votes
507
Votes
0
Pros & Cons
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
No community feedback yet

What are some alternatives to Cassandra, Openstack Swift?

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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