SQL daily thin Xishan NoSQL standardization is imperative bitsCN.com
Like Lary herison's luxury yacht, relational databases are heading for the sunset. However, for NoSQL, standard query languages and application interfaces need to be set up.
Oracle has dominated the database world for many years, but in the future, the decline of hegemony is inevitable. Under
forms a database company like Oracle and drives the development of the upstream and downstream industry chains. Relational databases support indexing in standalone storage engines. for example, the Innodb storage engine of Mysql must support indexing, while the standalone storage engine of NOSQL systems is pure, only primary key-based random reading and range query are supported. The
Tags: Step data scientist Architecture agreement New Hope story led meaning avoidanceWhy SQL is beating NoSQL, what this means for future data: http://geek.csdn.net/news/detail/238939 The translator notes: After years of silence, today's SQL is coming back. What's the reason? What impact does this have on the data community? Look at the analysis of this article. The translation is as follows.
The data we've been collecting since we'
improving scale-out. NoSQL databases hosted in cloud services also naturally enjoy the benefits of automatic sharding, which can be flexibly processed on a phased basis, with integrated caching and huge computing power to capture, store, and analyze big data. Pay vs Open source One view is that SQL databases are mostly expensive, and NoSQL databases are usually open source. In fact, both types of databases
Tags: tool sharing maintenance Structure elastic int calculation is unsuccessful and canI. Database rankings and trends 1.1 complete ranking
Links: https://db-engines.com/en/rankingThis site lists all the database rankings, and you can see the type of database you belong to, and update it once a month. You can have a look when you are free.
1.2 Db-engines ranking-trend Popularity
Links: Https://db-engines.com/en/ranking_trendYou can see that
Basic concepts of one or two peopleNoSQL, which refers to non-relational databases.Relational database is a database based on the relational model.The relational model is mentioned here,The relational model was proposed by E.f.codd in 1970.Compared with the level and mesh model, it has the following characteristics:1. Simple data structure (two-dimensional table)2. A solid theoretical basis.A. Relational operation theoryB. Relational model design theoryIn simple terms, the relational model refer
NOSQL systems generally advertise a feature, that is, good performance. Why? After so many years of development in relational databases, various optimization work has been done very deeply. NOSQL systems generally use relational database technology. So what factors have bound the performance of relational databases? We can look at this problem from the perspective of system design.
1. Index support
At the b
associated, and this model supports some graph structure algorithms.
The differences between NoSQL and relational databases are summarized as follows:
NoSQL database data models are generally closer to actual needs. When using relational databases, the question to be concerned is "what functions can be provided by databases", while NoSQL models are more conce
Although the 09 appeared a more radical article "Relational database is dead", but we all know that the relational database is actually alive and well, you can not use the relational database. But it also illustrates the fact that the relational database has a bottleneck when it comes to processing WEB2.0 data.So are we using NoSQL or relational databases? I don't think we need to have an absolute answer. We need to decide what we use based on our app
weak consistency contains many different implementations, and the final consistency is widely implemented in the distributed system at present. The so-called final consistency, is not guaranteed at any time any node on the same data is the same, but with the migration of time, the same data on different nodes always in the direction of convergence changes. It can also be simply understood that after a period of time, the data between the nodes will eventually reach a consistent state. The bes
NOSQL systems generally advertise a feature, that is, good performance. Why? After so many years of development in relational databases, various optimizations have been done very deeply. NOSQL systems generally use relational database technology. What factors have bound the performance of relational databases? We can look at this problem from the perspective of system design.
1. Index support. At the beginn
1. Maturity
RDBMS has existed for a long time. nosql supporters think that their age is a symbol of their out-of-date, but for most CIOs (CIOs), the maturity of RDBMS can be reassuring. generally, RDBMS systems are stable and feature-rich. in contrast, most nosql alternatives are still in the pre-production environment stage, and there are a lot of key features to be implemented.
Living at the cutting e
replication and fault tolerance.· Redis: Redis is an open source key-value store. Supports master-slave replication, transactions, Pub/sub, LUA scripts, and also supports adding time limits to keys.· Dynamo: Dynamo is a key-value distributed data store. It is implemented directly from the Amazon Dynamo database, and is used in Amazon S3 products.· Oracle NoSQLDatabase: Key-valued NoSQL databases from
maintained by BigTable and automatically selected by BigTable during query. This is close to RDBMS. In addition to the automatically ordered Row Key as the index, the open-source HBase provides only one automatically maintained secondary index. However, the indexes used for queries must be determined by the application layer. There are many ways to implement HBase's secondary index. It seems that it has recently been related to coprocessor. For details, refer to http://kenwublog.com/hbase-secon
First, the concept of SQL (structured Query Language) database, refers to the relational database. Main representative: SQL Server,oracle,mysql (open source), PostgreSQL (open source). NoSQL (not only SQL) refers to a non-relational database.Main representative: MONGODB,REDIS,COUCHDB. Second, the difference1. Storage modeSQL data exists in a structure-specific table, and
. Data Model refers to the data storage method, which has several schools, such as relations, key values, columns, documents and images. In their respective implementations, relational databases include MySQL, PostgreSQL, and Oracle, and key-value databases include memcached, membase, Riak, and Redis, columnar databases include HBase, Cassandra, and Hypertable, document databases include MongoDB and CouchDB, and image databases include Neo4J. When sel
Advantages and disadvantages of relational databaseAdvantages:
Can do transaction processing, so as to ensure the consistency of data;
Can be a join, such as multi-table query;
Because of SQL standardization, the cost of data updates is small (the same fields are basically only one place).
Disadvantages:
The write processing of large amount of data is not easy;
If the table data volume is too large, it is not easy to do index or table structure update;
When the field is
, without having to calculate all the data from scratch.8th Chapter Key Value DatabaseComparison of key-value databases and relational databases
Oracle
Raik
DB instance
Raik Cluster
Table
Storage area
Yes
Key-value pairs
rowID
Key
What is a "key value database"* From the API point of view, the key-value database is the simplest
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
Label:Original: http://juliashine.com/distributed-algorithms-in-nosql-databases/ A distributed algorithm for NoSQL databasesOn November 9, 2012 in also for rice beam, by Juliashine This article was translated from distributed algorithms in NoSQL Databases The scalability of the system is the main reason for the development of the
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