is nosql object oriented database?
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Generally an Object Oriented Database is considered a subset (a kind of) NoSQL Database. However, in general an OO DB will still have ACID-like locking to keep consistency, while NoSQL will generally have some kind of "eventually consistent" or partial locking semantics.
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Object-relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between incompatible type systems using object-oriented programming languages. This creates, in effect, a "virtual object database" that can be used from within the programming language.
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Hibernate Query Language (HQL) is an object-oriented query language, similar to SQL, but instead of operating on tables and columns, HQL works with persistent objects and their properties. HQL queries are translated by Hibernate into conventional SQL queries, which in turns perform action on database.
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The basic difference between MongoDB and DynamoDB is that DynamoDB is a NoSQL database service used on AWS console whereas MongoDB is a Database Application. Even though both are NoSQL services, a lot of things differentiate them in terms of installation, maintenance, performance, etc.
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Object-oriented programming (OOP) is a programming language model organized around objects rather than "actions" and data rather than logic. Historically, a program has been viewed as a logical procedure that takes input data, processes it, and produces output data.
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Relational databases are harder to scale(*) because they have features NoSQLs do not have, and these very features actually are harder to scale. First of all, from RDBMS you expect constraints and ACID transactions which are not present in NoSQL.
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SQL databases are table based databases whereas NoSQL databases can be document based, key-value pairs, graph databases. SQL databases are vertically scalable while NoSQL databases are horizontally scalable. SQL databases have a predefined schema whereas NoSQL databases use dynamic schema for unstructured data.
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OQL was developed to play the role of SQL for Object-Oriented Databases, especially those adhering to the ODMG Standard [4] where the language is defined. Unlike SQL, OQL is a functional language, and its operators can be composed to an arbitrary level of nesting within a query provided the query remains type-correct.
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When compared to a relational database management system, an object-oriented database stores complex data and relationships between data directly, without mapping to relational rows and columns whereas a relational database stores information in tables with rows and columns.
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['Relational DBMS (RDBMS) Example systems: Microsoft Access and MySQL. ... ', 'Document stores. Example systems: MongoDB. ... ', 'Key-value stores. Example systems: Redis. ... ', 'Search engines. Example systems: Elasticsearch. ... ', 'Wide column stores. ... ', 'Graph DBMS. ... ', 'Time series DBMS. ... ', 'Native XML DBMS.']
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Neo4j is the leading native graph database and graph platform. It is available a both open source and through a commercial license for enterprise levels of security and high performance and reliability through clustering.
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It's open source And of course, New Relic Open Source itself is an open source project. The code is freely available on GitHub under the Apache 2 license, and it's also available directly from the website (very meta).
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SQL (Structured Query Language) is a database management language for relational databases. SQL itself is not a programming language, but its standard allows creating procedural extensions for it, which extends it to the functionality of a mature programming language.
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The ODBMS which is an abbreviation for object oriented database management system, is the data model in which data is stored in form of objects, which are instances of classes. These classes and objects together makes an object oriented data model.
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In many ways using particular NoSQL databases are much much simpler than SQL. ... In many ways using particular NoSQL databases are much much simpler than SQL. For a document database, for instance, the programming side is usually much simpler, you can just dump your objects in there.
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Relational databases like MySQL, PostgreSQL and SQLite3 represent and store data in tables and rows. ... They're based on a branch of algebraic set theory known as relational algebra. Meanwhile, non-relational databases like MongoDB represent data in collections of JSON documents.
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The Java Persistence API (JPA) is one possible approach to ORM. Via JPA the developer can map, store, update and retrieve data from relational databases to Java objects and vice versa. JPA can be used in Java-EE and Java-SE applications. JPA is a specification and several implementations are available.