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Stands for Atomicity, Consistency, Isolation, Durability. Essential properties that ensure reliable transaction processing in database systems.

States that a distributed system can only simultaneously provide two out of the following three guarantees: Consistency, Availability, and Partition Tolerance.

A consistency model which allows for temporary data inconsistencies, guaranteeing that all nodes will eventually become consistent.

A distributed algorithm which allows nodes in a distributed system to agree on a proposed transaction. It is atomic, ensuring that transactions either commit on all nodes or abort.

A method of splitting and distributing a single logical database into a cluster of databases to spread load.

The process of storing copies of data on multiple nodes to ensure reliability and fault-tolerance.

A family of protocols for solving consensus in a network of unreliable processors (sometimes referred to as a 'distributed system').

A programming model and an associated implementation for processing and generating big data sets with a distributed algorithm.

Consensus algorithm designed to be more understandable than Paxos. Used to manage a replicated log in a distributed system.

A fully managed NoSQL database service provided by Amazon Web Services (AWS) with built-in security, backup and restore, and in-memory caching for internet-scale applications.

An open-source NoSQL database that uses a document-oriented database model which supports various forms of data models.

An open-source distributed NoSQL database system designed to handle large amounts of data across many commodity servers without a single point of failure.

A distributed NoSQL cloud database that combines the power of key-value stores with JSON document databases for flexible data modeling.

A distributed NoSQL key-value data store that offers high availability, fault tolerance, operational simplicity, and scalability.