Which no sql database
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The document compares different NoSQL database types: key-value databases for fast access to large numbers of objects but limited querying; document databases for flexible schemas and querying within documents; columnar databases optimized for analytics on entire columns but no joins; and graph databases suited for interconnected data modeled as nodes and edges but difficult to scale for large generic graphs. The document provides examples, use cases, limitations, and databases for each type.
Which no sql database
- 1. WHICH NOSQL DATABASE ? NoSQL database comparison BY Nitin Kumar PHP Architect +91 98 7373 1595 yanitin@gmail.com
- 2. INDEX Key Value database Document oriented database Column-oriented database Graph-oriented database
- 3. KEY VALUE DATABASE A key-value store provides the simplest possible data model and is exactly what the name suggests: it's a storage system that stores values indexed by a key.
- 4. KEY VALUE DATABASE Use case: Fast access to a large number of objects, such as caches or queues like mobile, gaming, online ads. Limitation: Cannot update subset of a value, No querying, Unique keys generation become complex for large no of objects Database: Riak, MemcacheDB, Redis, DynamoDB
- 5. DOCUMENT ORIENTED DATABASE A document-oriented database extends the previous key- value are stored in a structured format. The major benefit of using a document database comes from the fact that while it has all the benefits of a key/value store, you aren’t limited to just querying by key. The following example shows data values collected as a “document” representing the names of specific person. Note that while the two examples all represent details, the representative models are different.
- 6. DOCUMENT ORIENTED DATABASE Use case: Manage large variety of objects that differ in structure like product catalogs in e- commerce, customer profiles, content management applications Limitation: Query performance not linearly scalable, Join queries across collections not efficient Database: MongoDB, CouchDB
- 7. COLUMN ORIENTED DATABASE Column-oriented systems still use tables but have no joins (joins must be handled within your application). Obviously, they store data by column as opposed to traditional row-oriented databases. This makes aggregations much easier.
- 8. COLUMN ORIENTED DATABASE Use case: Storing a large number of time-stamped data like event logs, sensor data,Analytics that involve querying entire columns of data such as trends or time series analytics Limitation: No join queries or sub-queries, Ordering is done per partition, specified at table creation time Database: Cassandra, BigTable, HBase
- 9. GRAPH BASED DATABASE The graph based DBMS models represent the data in a completely different way than the previous three models. They use tree-like structures (i.e. graphs) with nodes and edges connecting each other through relations.
- 10. GRAPH BASED DATABASE Use case: objects with a large number of inter- relations like social networking friends-networks, hierarchical role based permissions. Limitation: Difficult to scale for large data sets for generic graphs, Giraph uses the Bulk Synchronous Parallel model to overcome some of the scalability limitations Database: Neo4J, OrientDB, Apache Giraph, AllegroGraph
- 11. FOR QUERY CONTACT Nitin Kumar PHP Architect +91 98 7373 1595 yanitin@gmail.com