relationship between the traverse speed and the amount of data that constitutes the graph. In addition, NEO4J provides very fast analysis of graphics algorithms, recommender systems, and OLAP styles, all of which are not achievable in current RDBMS systems.5, RiakNeo4jRiak is a very good database for Web applications, it provides de-centralized key/value storage, a flexible map/reduce engine and a friendly Http/json query interface. It is a true fault-tolerant system, no single point of failure
process key-value pairs.
Example: AllegroGraph, InfoGrid, and Neo4j
Advantage: solves complex graph problems.
Relational database
Source: proposed by E. F. Codd in A Relational Model of Data for Large Shared Data Banks
Data Model: various relationships
Example: VoltDB, Clustrix, MySQL
Advantages: high-performance, scalable OLTP, support for SQL, materialized views, support for transactions, and friendly programming.
Object Database
Source: Graph database research
Data Model: Object
dealing with transaction relationships, and excellent interaction with programmers
Object-Oriented Database
Inheritance: research results from the Graphic Database
Data Model: Object
Example: objecti.pdf, Gemstone
Advantage: it is good at processing complex object models, fast key-value access and key-function access, and has various features of the Graphic Database.
Key-value Storage
Inheritance: paper concept and distributed hash table in Amazon Dynamo
Data Model: collate Summary of key-value
database guarantees atomicity through transaction (transactions), usually by writing log first to achieve* Lock: Divided into read lock and write lock, the minimum lock granularity provided by various databases and engines will be different.* MVCC: Multi-version control, by filling in additional update time, delete implementation, etc. to ensure the correctness of the data* Other knowledge points, such as B + book, LSM tree, hash table and hash tier, etc.# # N*sql HistoryNo SQL Age: Hierarchica
very useful tool, after 15 years of outstanding performance, the monopoly will be broken. This is only a matter of time: I was forced to use relational databases, but I finally found that I could not meet my needs.
However, the difference between NoSQL databases is far greater than that between SQL databases. This means that software architects should select a suitable NoSQL database at the beginning of the project. In this case, we compared Cassandra
/tyrant, Redis, Voldemort, Oracle BDB.2. Columnstore DatabaseThis part of the database is often used to deal with massive amounts of data for distributed storage. Keys still exist, but they are characterized by pointing to multiple columns. These columns are arranged by the column family. such as: Cassandra, HBase, Riak.3. Document-based databaseThe document database is inspired by Lotus Notes Office softwa
flexibility, and are very suitable for big data storage and processing. Compared with traditional relational databases, these NoSQL databases have great performance advantages. However, these NoSQL databases may not be the most suitable for you. Most common applications can still be developed using traditional relational databases. NoSQL databases are still not suitable for mission-critical transactions. I have briefly introduced these databases. let's take a look at them below.1. MongoDB
Mongo
. :
This guarantee says so if a sequence of writes happens in a certain order, then anyone reading those writes would see the M appear in the same order.One solution is to make sure this any writes that's causally related to all other be written to the same partition
, this problem does not occur in a single copy set (single partition), only in partitioned (sharded) environments.
Workaround:
(1) A causal operation routed to the same partitionleaderless Replication
leaderless
Tags:addrap requirements technology sharing String Types linux decompression relative ase 1. Introduction to NoSQLNoSQL (not only SQL): It's not just SQL, it's a whole new database concept, referring to a non-relational database, where we used MySQL, Oracle, Microsoft SQL Server, and so on as relational row databases. So why do we need NoSQL? With the rise of internet web2.0 website, the development of non-relational database is rapid, the traditional relational database coping with web2.0 w
database
Index: Enter metadata for Search (1.0 version is about to be supported)
Big Data Object Support (Luwak)
Two versions of "Open source" and "Enterprise" available
Full-Text search, indexing, search server queries via Riak (Beta version)
SNMP monitoring support for masterless Multi-site replication and commercial licensing
Best practice: For situations where you want to use a database similar to
different partitions. In this respect, the database provides several different consistency models:
Atom writes. If the database provides an API, a write operation can only be a single atomic assignment, and the way to avoid writing conflicts is to find the "latest version" of each data. This allows all nodes to obtain the same version at the end of the update, regardless of the order in which the updates are made, and network failures and delays often result in inconsistent seque
, but the concept of discussion is also crucial for measuring others. Scalability Scaling reading and copying is easy when we zoom in on this, we mean to write data that scales to automatic partitioning of multiple machines. We call for a system that is not sound, such as "distributed database." "This includes cassandra,hbase,riak,scalaris,voldemort, and so on. If you write volumes or data capacity more th
between CPUs ,...
Http://t.cn/zO3hEPD Godaddy uses Cassandra as its Session Store, 1. use cluster A/cluster B to upgrade the cluster. collaborative development of ASP/ASP.net protocol access, provide connection pool, compression, configuration management and other features, 3. before Cassandra supports the TTL function, the manual secondary index is set to clean up the Expire Session.
Http://t.cn/z8Mo36p w
database should be able to handle this conflict and ensure that multiple write requests are not processed by different partitions. This database provides several different consistency models:
Atomic writing. If the database provides an API, a single write operation can only be a separate atomic assignment, the way to avoid writing conflicts is to find the "latest version" of each data. This allows all nodes to get the same version at the end of the update, regardless of the order of
Source: graph database research
Data Model: Object
Example: objecti.pdf, Gemstone
Advantages: complex object models, fast key-value access, key-function access, and graph database advantages.
Key-Value Database
Source: Amazon papers Dynamo and Distributed HashTables.
Data Model: Key-value pairs
Example: Membase and Riak
Advantage: it can process a large amount of data and quickly process a large number of read/write requests. Friendly programming.
Bi
-switch is a pattern matching middleware
Express-formwork-a completely asynchronous middleware for form validation and sanitization based on [validator] (https:/ /github.com/chriso/validator.js)
Session Stores
Connect-cassandra-cassandra Session Store
CONNECT-COUCHDB-COUCHDB Session Store
Connect-dynamodb-dynamodb Session Store
Connect-firebase-firebase Session Store
Connect-mariasql-mariasql
(relational);4. Greenplum (relational);Focus on consistency and partitioning tolerance (CP)This system distributes data across nodes of multiple network partitions and ensures consistency of the data, but there is a problem with the availability support, such as when a cluster is in trouble, the node may refuse to provide services because it cannot ensure that the data is consistent, and the main CP system is: 1. BigTable (column-oriented);2. hypertable (column-oriented);3. HBase (column-orient
writes. If the database provides an API, a write operation can only be a single atomic assignment, and the way to avoid writing conflicts is to find the "latest version" of each data. This allows all nodes to obtain the same version at the end of the update, regardless of the order in which the updates are made, and network failures and delays often result in inconsistent sequence of update sequences for each node. The data version can be represented by a timestamp or a user-specified value. Th
Before introducing redis, NoSQL, notonlysql, is a non-relational data storage with keyvalue key-value pairs. Existing NosqlDB products: redis?dbmemcachedhbasecassandratokyocabinetvoldemortdynomiteriakcouchdbhypertableflaretinl
Before introducing apsaradb for redis, I would like to know about NoSQL, that is, not only SQL, which is a non-relational data storage and key-value Pair storage. Existing Nosql DB products: Redis/MongoDB/Memcached/Hbase/Cassandra
database
These databases are usually used to deal with the massive data stored in distributed storage. Keys still exist, but they point to multiple columns. These columns are arranged by the column family. Example: Cassandra, HBase, Riak.2.3 Document Database
Document databases are inspired by Lotus Notes office software and are similar to the first type of key-value storage. This type of data model is a v
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