Azure SQL Database vs RethinkDB: What are the differences?
Developers describe Azure SQL Database as "Managed, intelligent SQL in the cloud". It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software. On the other hand, RethinkDB is detailed as "JSON. Scales to multiple machines with very little effort. Open source". RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
Azure SQL Database and RethinkDB can be primarily classified as "Databases" tools.
RethinkDB is an open source tool with 22.5K GitHub stars and 1.75K GitHub forks. Here's a link to RethinkDB's open source repository on GitHub.
According to the StackShare community, RethinkDB has a broader approval, being mentioned in 53 company stacks & 166 developers stacks; compared to Azure SQL Database, which is listed in 21 company stacks and 20 developer stacks.
What is Azure SQL Database?
What is RethinkDB?
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Why do developers choose Azure SQL Database?
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What are the cons of using Azure SQL Database?
What are the cons of using RethinkDB?
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We initially chose RethinkDB because of the schema-less document store features, and better durability resilience/story than MongoDB In the end, it didn't work out quite as we expected: there's plenty of scalability issues, it's near impossible to run analytical workloads and small community makes working with Rethink a challenge. We're in process of migrating all our workloads to PostgreSQL and hopefully, we will be able to decommission our RethinkDB deployment soon.
High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.
Main database, using it in multiple datacenters in an active-active configuration.