Choose a Data Store

Source: Choose a Data Store

The cloud is changing the way applications are designed, including how data is processed and stored. These articles can help you choose a data solution:

Article	Summary
Understand data store models.	Learn about the high-level differences between the various data storage models in Azure data services.
Choose an Azure data store for your application.	Use a flowchart to choose an Azure data store.
Criteria for choosing a data store.	Review some general considerations for choosing a data store.
Choose a big data storage technology in Azure.	Compare big data storage options in Azure. View key selection criteria and a capability matrix.
OLAP solutions.	Learn about online analytical processing (OLAP) solutions for organizing large databases and supporting complex analysis without affecting transactional systems.
OLTP solutions.	Learn about atomicity, consistency, and other features of online transaction processing (OLTP), which manages transactional data and supports querying.
Data warehousing.	Learn about data warehousing in Azure. A data warehouse is a repository of integrated data from disparate sources that’s used for reporting and analysis of the data.
Data lakes.	Learn about data lake storage repositories, which can hold terabytes or petabytes of data in a native, raw format.
Non-relational data and NoSQL.	Learn about non-relational databases that store data as key/value pairs, graphs, time series, objects, and other storage models.
Choose a data pipeline orchestration technology.	Choose an Azure data pipeline orchestration technology to automate pipeline orchestration, control flow, and data movement workflows.
Choose a search data store.	Learn about the capabilities of search data stores in Azure and the key criteria for choosing one that best matches your needs.
Transfer data to and from Azure.	Learn about Azure data transfer options like Azure Import/Export, Azure Data Box, Azure Data Factory, and command-line and graphical interface tools.