nosql graph database comparison

This article has translated three articles from 35 + UseCasesForChoosingYourNextNoSQLDatabase: WhatTheHeckAreYouActuallyUsingNoSQLFor ?. 101QuestionsToAskWhenConsideringANoSQLDatabase. What NoSQL This article is translated from 35 + Use Cases For Choosing Your Next NoSQL Database There are three previous articles What The Heck Are You Actually Using

invalidated, is a large-grained cache, in the web2.0 for the interaction of frequent applications, Cache performance is not high. NoSQL's cache is record-level and is a fine-grained cache, so NoSQL has a lot of performance at this level. 3. Flexible Data Model NoSQL can store custom data formats at any time without having to create fields in advance for the data to be stored. In the relational

①　 Preservation of the survey data 1513.4.2 example ② analysis data Storage 165 4th Performance Verification 1674.1 basic INSERT and query processing performance 1684.1.1 hypothetical case 1684.1.2 readiness 1714.1.3 Insert processing performance 1724.1.4 performance of Query 1724.2 comparison of performance of different instances 1754.2.1 Tokyo Tyrant AddInt methods and Incr methods to add and remove data from the Redis list type 1754.2.2 1774.2.3 m

The scalability of NoSQL systems is the main reason for the development of NoSQL, including distributed system coordination, failover, resource management and many other features. In this case, NoSQL sounds like a big basket, and everything can be inserted. Although the NoSQL movement has not brought about fundamental

Tags: nosql NoSQL Basic Concepts and MongoDB MongoDB Basic Application MongoDB Index and copy set The concept of database sharding and the realization of MongoDB sharding I. The basic concept of NoSQLNoSQL (not just SQL), is a technical genre, non-relational

capabilities that provide users with rapid testing, prototyping, and application deployment capabilities to streamline application development.7. neo4jThe neo4j is a NoSQL graph database with very high performance. It has all the features of a robust and mature system, providing programmers with a flexible and object-oriented network architecture that allows dev

systems, static and dynamic schema support, memory processing, and high availability. Densodb The. Net solution written in c # By DensoDB is simple, fast, and reliable. SisoDB A document database built on SQL Server. SDB Some small online databases are written in PHP. NoSQL embedded db Node. js-based Asynchronous NoSQL Embedded

NoSQL (not-only SQL) non-relational databasecomparison between relational database and non-relational database :Common relational databases: MySQL, Oracle, SQL ServerA relational database involves a federated query (join), which slows down the query when the volume of data is largeNo relationship between

Software architects who have worked for a number of large companies have taken into account the Kristóf Kovács's NoSQL database of mainstream blogs (Cassandra, Mongodb, CouchDB, Redis, Riak, Membase, Neo4j and HBase) made a comprehensive comparison. Although the SQL database is a very useful tool, the monopoly is abou

With the development of Internet technology, the requirement of data storage is high, there is high demand in capacity, security, backup, high availability and so on, the popular relational database has SQL Server, MySQL, Orcale, etc., non-relational database has key, value type Redis , Memcached, the document database has MongoDB, CouchDB, and the list of types

1.NOSQL IntroductionNOSQL (not only Sql) refers to a non-relational database. The next generation of databases mainly solves several key points: non-relational, distributed, open-source, horizontally extensible. The original goal was for large-scale Web applications, which began in the early 2009 with features such as freedom of mode, support for simple replication, simple APIs, eventual consistency (non-ac

scenariosEvent recordsContent Management System and blog platformWebsite analysis and real-time analysisE-commerce applications(A flexible mode is required to establish a data model at a low cost) Unsuitable scenariosComplex queries that contain multiple operationsQuery continuously changing aggregate structures Column Family database ProductHBaseAmazon SimpleDBCassdndraHypertableBigTable (google) Applicable scenariosEvent records(Save

. and the document database is more efficient than the key-value database query. such as: CouchDB, MongoDb. Domestic also has the document type database SEQUOIADB, already open source. Graph Database (graph)the graphical structure

, restart, query neo4j service ten, NEO4J graphics database Simple Description of the origin of the graph database name in fact, and in the underlying storage mode, neo4j the bottom of the way to the user-defined nodes and relationships stored, through this way, can be efficient implementation from a node,Through the Relationship between node and node, find out t

theoryA distributed database cannot meet these three principles at the same time, only two of these-Database to meet CP: mongodb,redis,hbase,bigtable, etc.-Database to meet AP: Simpledb,kai, etc.-Meeting CA data: Typically a traditional relational database, Vetica (column-oriented) data.Mainstream

about consistency and how to choose between delays.Ps:1.BASE is more contrived than acid, and there is no clear definition of basic usable and flexible states.2. Not all NoSQL is created for distribution, and the graph database uses a traditional database approach.3. Column family storage, can be considered as a Level

Some basic usage MySQL and MongoDB design instance comparison: http://www.51testing.com /? Uid-116228-action-viewspace-itemid-241061 MongoDB common methods: http://blog.csdn.net/cppbegginer/article/details/6968522 MongoDB database installation and PHP connection test on Windows: http://hi.baidu.com/zyrym1989/blog/item/60f9154fb1df84d5d0c86ab0.html MongoDB advanced query: http://www.cnblogs.com/cxd4321/archi

Problems encountered in traditional mysql+ memcached architecturesThe actual MySQL is suitable for massive data storage, through the memcached to load hot data to the cache, speed up access, many companies have used such a structure, but with the increasing volume of business data, and the continuous growth of traffic, we encounter a lot of problems:1.MySQL needs to be continuously disassembled, memcached also need to continuously follow the expansion, expansion and maintenance work occupy a lot

I recently used a graphical database to support a start-up project. In the process of using this kind of graphics database is actually very interesting. So here's a brief introduction to you.The NoSQL database is believed to have been heard. They can often be used to deal with a series of problems that traditional rela

Traditional SQL pagingIn traditional SQL paging, almost no row_number exists in all solutions. For scenarios that require various sorting and complex queries, row_number is a killer. In addition, the time stamp is usually used for paging loading by poll/push on the current web. These two types of pages can be said to be generic, and even the pages generated by Linq are row_number. The latter is the best both in terms of performance and complexity, because you only need a simple timestamp.MongoDB