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What DB should I use?
For cache — use a key-value DB. For graph-like data — use a graph DB. If you tend to query on subsets of columns /features — use column DB. For all other use cases — Relational or Document DB.
What is azure cosmos DB used for?
Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.
What is the best DB for Microservices?
For some services, a relational database is the best choice. Other services might need a NoSQL database such as MongoDB, which is good at storing complex, unstructured data, or Neo4J, which is designed to efficiently store and query graph data.
Why should I use cosmos DB?
Azure Cosmos DB is a fully managed, elastically scalable, and globally distributed database with a multi-model approach. It offers plenty of benefits and provides you the ability to use document, key-value, wide-column, or graph-based data.
Which DB is the fastest?
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Is Cosmos DB a data lake?
Azure Data Lake service was released on November 16, 2016. It is based on Cosmos, which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built.
Is Cosmos DB in memory?
The Azure Cosmos DB integrated cache is an in-memory cache that helps you ensure manageable costs and low latency as your request volume grows.
Is MongoDB good for microservices?
MongoDB is well suited for a microservices architecture with its ability to provide a flexible schema, redundancy, automation, and scalability.
Why NoSQL is best for microservices?
Unlike SQL’s structured schema of tables and rows, NoSQL supports dynamic schema, meaning developers can modify database schema without having to consider the complex relationship between tables and build features without constructing complex SQL queries.
When is a use case of a database?
But a use case is always an Actor–System interaction. If you have a “save data in database” use case where the user clicks on a “save to DB” button then you might have a real use case. Otherwise, the database is just an implementation detail.
How is database storage a sub use case?
Use case diagram (UML): Should database storage be an sub use case (in this diagram)? I’m developing an application which analyses DNA sequences. The user will load a certain file containing a DNA sequence. Then the user can click on a button to search for ORFs (parts of the DNA sequence with specific features).
Can you leave out the DB as an actor?
The two use cases would be: Or can I leave out the DB as an actor? Unfortunately I haven’t found any consistent way of drawing the use cases.
When do you have a real use case?
Some steps in this scenario might be so complex that they are described in another use case that would then be included. But a use case is always an Actor–System interaction. If you have a “save data in database” use case where the user clicks on a “save to DB” button then you might have a real use case.