Cassandra (original) (raw)

Cassandra -A Decentralized Structured Storage System

Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure. Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and large components fail continuously. The way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service. While in many ways Cassandra resembles a database and shares many design and implementation strategies therewith, Cassandra does not support a full rela-tional data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format. Cassandra system was designed to run on cheap commodity hardware and handle high write through-put while not sacrificing read efficiency.

Cassandra – A Progressive Database Management System

Traditional Relational Database Management systems were the main data stores for most of the business applications for over 20 years. Then in order to handle new data access patters new databases like Oracle, MySQL were introduced that had RDBMS roots. Currently, more change is required since applications must now scale up that were unimaginable just a few years ago. Not only scaling; companies require features like their applications are always available and lightning fast, and this is where RDBMS databases fail. This is where Cassandra is introduced. As for availability, Cassandra delivers a world where an application can lose an entire datacenter and still perform as if nothing happened. In this paper we propose a brief overview of Cassandra for people wondering whether Cassandra is right for them and also uniquely addresses the next phase of growth in the modern database marketplace.

Performance Scaling of Cassandra on High-Thread Count Servers

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

NoSQL databases are commonly used today in cloud deployments due to their ability to "scale-out" and effectively use distributed computing resources in a data center. At the same time, cloud servers are also witnessing rapid growth in CPU core counts, memory bandwidth, and memory capacity. Hence, apart from scaling out effectively, it's important to consider how such workloads "scale-up" within a single system, so that they can make the best use of available resources. In this paper, we describe our experiences studying the performance scaling characteristics of Cassandra, a popular open-source, column-oriented database, on a single high-thread count dual socket server. We demonstrate that using commonly used benchmarking practices, Cassandra does not scale well on such systems. Next, we show how by taking into account specific knowledge of the underlying topology of the server architecture, we can achieve substantial improvements in performance scalability. ...

NoSQL Database: Cassandra is a Better Option to Handle Big Data

Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters,[1] with asynchronous master less replication allowing low latency operations for all clients. Like good carpenters, data engineers know that different tasks require different tools. Picking the right tools-and knowing how to use them-can be the most important part of any job. Apache cassandra, a prime level Apache project born at Facebook and designed on Amazon's generator and Google's huge Table, may be a distributed info for managing giant amounts of structured knowledge across several goods servers, whereas providing extremely offered service and no single purpose of failure. cassandra offers capabilities that relative databases and different NoSQL databases merely cannot match such as: continuous handiness, linear scale performance, operational simplicity and simple knowledge distribution across multiple knowledge centers and cloud handiness zones [2]. Cassandra's design is to blame for its ability to scale, perform, and supply continuous time period. instead of employing a bequest master-slave or a manual and difficult-to-maintain shared design, cassandra features a lordless " ring " style that's elegant, simple to setup, and simple to keep up. Apache Cassandra is a massively scalable open source non-relational database that offers continuous availability, linear scale performance, operational simplicity and easy data distribution across multiple data centers and cloud availability zones. Cassandra was originally developed at Facebook, was open sourced in 2008, and became a top-level Apache project in 2010.