Helenos is a graphical user interface for Cassandra Apache Cassandra is a management system designed to handle large amounts of data across many, providing high availability with no. N1996 Vga Driver. Cassandra offers robust support for spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients. Cassandra also places a high value on performance. In 2012, University of Toronto researchers studying NoSQL systems concluded that 'In terms of scalability, there is a clear winner throughout our experiments. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments' although 'this comes at the price of high write and read latencies.' Contents • • • • • • • • • • History [ ] Avinash Lakshman (one of the authors of ) and Prashant Malik initially developed Cassandra at to power the Facebook inbox search feature. Facebook released Cassandra as an open-source on in July 2008.

In March 2009 it became an project. On February 17, 2010 it graduated to a top-level project. Facebook developers named their database after the Trojan mythological prophet - with classical allusions to a curse on an.

DataStax Enterprise: the always-on data platform, powered by the best distribution of Apache Cassandra™. Data Management for Customer Experience. Cassandra (Apache Cassandra). Middleware is the software that connects network-based requests generated by a client to the back-end data the client is.

Main features [ ] Decentralized Every node in the cluster has the same role. There is no single point of failure. Bizhub C350 Drivers. Data is distributed across the cluster (so each node contains different data), but there is no master as every node can service any request. Supports replication and multi data center replication Replication strategies are configurable. Cassandra is designed as a distributed system, for deployment of large numbers of nodes across multiple data centers. Key features of Cassandra’s distributed architecture are specifically tailored for multiple-data center deployment, for redundancy, for failover and disaster recovery. Scalability Designed to have read and write throughput both increase linearly as new machines are added, with the aim of no downtime or interruption to applications.