NoSQL vs. SQL: Choosing a Data Management Solution

Artículo: http://www.javacodegeeks.com/2015/10/nosql-vs-sql.html?utm_content=bufferf8c28&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

1. Introduction

2. Distributed systems: the CAP theorem

3. Relational data stores

3.1. MySQL / MariaDB

3.2. PostgreSQL

3.3. Others

4. Why NoSQL?

5. Key/Value data stores

5.1. DynamoDB

5.2. Memcached

5.3. Redis

5.4. Riak

5.5. Aerospike

5.6. FoundationDB

6. Columnar data stores

6.1. Accumulo

6.2. Cassandra

6.3. HBase

7. Graph data stores

7.1. Neo4J

7.2. Titan

7.3. FlockDB

7.4. GraphBase

7.5. InfiniteGraph

8. Document data stores

8.1. Couchbase

8.2. CouchDB

8.3. MongoDB

9. Time series data stores

9.1. InfluxDB

9.2. OpenTSDB

9.3. Druid

9.4. Prometheus

10. Hybrid data stores

10.1. ArangoDB

10.2. OrientDB

10.3. HyperDex

11. Specialized data stores

11.1. RethinkDB

11.2. Crate

12. Conclusions

[Categoy Base Datos,NoSQL]

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