Skip to content

Latest commit

 

History

History
35 lines (22 loc) · 1.78 KB

Cloud Data Stores.md

File metadata and controls

35 lines (22 loc) · 1.78 KB
Raw

Cloud Data Stores:

  • Cloud data stores, also referred to as cloud databases or database as a service (DBaaS), are data storage solutions provided by cloud service providers.

  • These data stores are designed to store and manage large amounts of data in a cloud computing environment.

  • Instead of deploying and managing their own physical infrastructure and database systems, organizations can leverage cloud data stores to offload the responsibility of data management to the cloud provider.

Data Store Types-

1) Big Table:

  • Bigtable is a distributed storage system that is used for managing and storing structured data at Google.

  • Bigtable is designed to reliably scale to petabytes of data and thousands of machine. Bigtable has multiple goals like applicability, high availability, scalability,high performance.

  • It is used by approximate sixty Google project or product like Google Analytic,Google Finance, Personalized search, Writely and Google Earth.

Features-

  • Bigtable is a distributed storage system for managing strcutured data.

  • Bigtable uses the distributed Google File System (GFS) to store log and data files.

  • A Bigtable cluster stores a number of tables. Each table consists of a set of tablets and each tablet contains all data associated with a row range.

2) Dynamo:

  • Dynamo is propriety key value structured storage system. It can act as database and also distributed hash table.

  • Dynamo dynamically partitions a set of keys over a set of storage nodes.

  • It is most powerful relational database available in WWW.

  • Dynamo does not support replication.

  • Dynamo is used to manage high reliability.

  • Dynamo is a completely decuttralized system.

  • Dynamo uses vector clocks in order to capture causality between different versions of the same object.