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Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers. The system prioritizes availability and scalability over consistency , making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [ 2 ]
Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar. As of June 2022, the company has roughly 800 customers distributed in over ...
Cassandra: highly scalable second-generation distributed database; Causeway(formerly Isis): a framework for rapidly developing domain-driven apps in Java; Cayenne: Java ORM framework; Celix: implementation of the OSGi specification adapted to C and C++; CloudStack: software to deploy and manage cloud infrastructure; Cocoon: XML publishing framework
Graph databases are commonly referred to as a NoSQL database. Graph databases are similar to 1970s network model databases in that both represent general graphs, but network-model databases operate at a lower level of abstraction [3] and lack easy traversal over a chain of edges. [4] The underlying storage mechanism of graph databases can vary.
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".
It supports the same protocols as Cassandra and the same file formats (SSTable), but is a completely rewritten implementation, using the C++20 language replacing Cassandra's Java, and the Seastar [1] asynchronous programming library replacing classic Linux programming techniques such as threads, shared memory and mapped files.
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Eventual consistency is a consistency model used in distributed computing to achieve high availability.Put simply: if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value. [1]