Bloomberg's distributed RDBMS
Die Hauptfunktionen von bloomberg/comdb2 sind: NewSQL Databases, Relational Databases.
Open-Source-Alternativen zu bloomberg/comdb2 sind unter anderem: probcomp/bayesdb — A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data… rayokota/kareldb — A Relational Database Backed by Apache Kafka. biokoda/actordb — ActorDB distributed SQL database. pingcap/tidb — TiDB is a horizontally scalable, distributed SQL database designed to provide consistent transactional storage and… cockroachdb/cockroach — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict… vcnc/haeinsa — Haeinsa is linearly scalable multi-row, multi-table transaction library for HBase.
Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures. The system distinguishes itself through
TiDB is a horizontally scalable, distributed SQL database designed to provide consistent transactional storage and high-performance analytical processing within a single unified architecture. It utilizes a decoupled compute-storage design and a distributed key-value storage layer to ensure horizontal scalability and efficient range-based queries. By employing a consensus-based replication algorithm, the system maintains high availability and automatic failover across multiple nodes and geographical regions. The platform distinguishes itself through its hybrid transactional and analytical proc
A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite
