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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Serverless o?erings Key findings. erings like Athena provide an alternative “instant on” query service.

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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Narrowing the gap between serverless and its state with storage functions , Zhang et al., While being motivated by serverless use cases, there’s nothing especially serverless about the key-value store, Shredder , this paper reports on. In databases you probably know it as stored procedures. SoCC’19. "Narrowing

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52
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Updated Azure SQL Database Tier Options

SQL Performance

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. The basic tier provides up to 5 DTUs with standard storage. HyperScale Database. DTU Pricing Tier.

Azure 55
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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167
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Cloudburst: stateful functions-as-a-service

The Morning Paper

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

Lambda 98
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Stuff The Internet Says On Scalability For December 21st, 2018

High Scalability

3) Serverless will rocket. Whether it’s database or message queues it’s a really weird combo of licenses and features for hostage. Tim Bray : How to talk about [Serverless Latency] · To start with, don’t just say “I need 120ms. 202,157 flights tracked! Me : Nothing special. Don't be late.

Internet 137