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Just like indexing systems in the relational model, DynamoDB demands that any updates to a table be reflected in each of the table's indices. DynamoDB handles this using a service it calls the "log propagator", which subscribes to the replication logs in each node and sends additional Put, Update, and Delete requests to indices as necessary. [ 30 ]
Reads from the indexes on the primary instance are read-after-write consistent and users can delete or create new indexes at any time. DocumentDB was an enhancement to the Amazon Aurora relational database system, [ 5 ] specifically the PostgreSQL-compatible edition.
Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] It has properties of both databases and distributed hash tables (DHTs).
SimpleDB Logo. Amazon SimpleDB is a distributed database written in Erlang [1] by Amazon.com.It is used as a web service in concert with Amazon Elastic Compute Cloud (EC2) and Amazon S3 and is part of Amazon Web Services.
Different NoSQL databases, such as DynamoDB, MongoDB, Cassandra, Couchbase, HBase, and Redis, exhibit varying behaviors when querying non-indexed fields. Many perform full table or collection scans for such queries, applying filtering operations after retrieving data.
Users are given tools to create and manage database instances, and control users. Some cloud providers also offer tools to manage database structures and data. [3] Many cloud providers offer both relational (Amazon RDS, SQL Server) and NoSQL (MongoDB, Amazon DynamoDB) databases. [3] This is a type of software as a service (SaaS).
JSON over HTTP, SQL support, ACID transactions Yes Oracle NoSQL Database: Oracle Corp Apache and proprietary C, C#, Java, Python, node.js, Go Shared nothing, horizontally scalable database with support for schema-less JSON, fixed schema tables, and key/value pairs. Also supports ACID transactions. Yes Qizx: Qualcomm: Proprietary
Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]