Azure documentdb vs azure table storage – azure informer

Questions about the differences between Azure DocumentDB and Azure Table Storage are asked quite often at Stack Overflow and various other Q&A sites. Database engineer salary This short article will explain the differences and describe why you might want to choose one over the other.

If you’re in a hurry and just want the conclusion, here it is: Azure DocumentDB is more capable than Azure Table Storage, but is also more expensive.


Jstor database You can save a significant amount of money by choosing Table Storage if it meets your needs. E m database Read on to learn more. Data recovery richmond va Azure Table Storage

• All commits are automatically replicatied – 3 times in one geographic region, and 3 times in another. Data recovery software This ensures that data will still be available even if an entire datacenter goes dark.

• Strong consistency – once data has been added or updated, all future accesses of that data will see the updated version. Data recovery advisor In contrast, some other NoSQL data stores only offer eventual consistency. Database host name In these cases, reads are not guaranteed to see the most recent updates.

• Each table contains only two indexed columns: a partition key and a row key. Database performance This means that you can only run queries based on these keys. Data recovery broken hard drive You can’t index any columns or properties of the rows you insert, and so can’t run queries against them. Database xe This isn’t always a deal breaker – it just means that Table Storage will be a good fit for some use cases, but not for others.

DocumentDB is a relatively new addition to the Azure family. Database yml mysql It was introduced in August of 2014. 5 database is locked It is a distributed document database. Database fundamentals It can be used in scenarios where other document stores such as MongoDB would be a good fit.

• Offers a range of consistency levels, ranging from strong consistency to eventual consistency. Database concepts This makes it possible to adjust consistency to suit your application’s needs.

• SQL Queries: Although DocumentDB is a non-relational data store, it supports SQL, so developers already familiar with database such as MySQL, Postgres, and SQL Server can get up and running quickly. Database icon Since DocumentDB is non-relational, some SQL features such as joins work differently than developers might expect.

• Scaling: While DocumentDB can scale to hold a large amount of data, document collections that will need to scale easily have to be created as partitioned collections from the beginning.

Also worth mentioning is the Azure SQL Database. Database versioning With excellent SQL Server compatibility, it offers the ability to easily migrate existing enterprise applications to the cloud. Database 2013 It’s more expensive and more difficult to scale than either Table Storage or DocumentDB, but offers rock solid reliability along with the full power of SQL and a relational database.

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