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New to Google Cloud Databases? 5 Areas of Confusion That You Better Be Aware of
July 25, 2018
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Google Cloud PlatformGoogle Spanner

New to Google Cloud Databases? 5 Areas of Confusion That You Better Be Aware of

After billions of dollars in capital expenditure and reference customers in every major vertical, Google Cloud Platform has finally emerged as a credible competitor to Amazon Web Services and Microsoft Azure when it comes to enterprise-ready cloud infrastructure. While Google Cloud’s compute and storage offerings are easier to understand, making sense of its various managed database offerings is not for the faint-hearted. This post introduces app developers to the major Google Cloud database services,

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6 Signs You Might be Misunderstanding ACID Transactions in Distributed Databases
July 22, 2018
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ACID TransactionsHow It Works

6 Signs You Might be Misunderstanding ACID Transactions in Distributed Databases

First-generation NoSQL databases dropped ACID guarantees with the rationale that such guarantees are needed only by old-school enterprises running monolithic, relational applications in a single private data center. And the premise was that modern distributed apps should instead focus on linear database scalability along with low latency, mostly-accurate, single-key-only operations on shared-nothing storage (e.g. those provided by the public clouds).

Application developers who blindly accept the above reasoning are not serving their organizations well.

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Distributed ACID Transactions with High Performance
April 24, 2018
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ACID TransactionsDatabasesDistributed SQLGoogle SpannerHow It WorksPerformance Benchmarks

Distributed ACID Transactions with High Performance

ACID transactions are a fundamental building block when developing business-critical, user-facing applications. They simplify the complex task of ensuring data integrity while supporting highly concurrent operations. While they are taken for granted in monolithic SQL/relational databases, distributed NoSQL/non-relational databases either forsake them completely or support only a highly restrictive single-row flavor (see sections below). This loss of ACID properties is usually justified with a gain in performance (measured in terms of low latency and/or high throughput).

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Achieving Sub-ms Latencies on Large Datasets in Public Clouds
January 26, 2018
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Amazon Web ServicesCloud ProvidersGoogle Cloud PlatformHow It WorksMicrosoft AzurePerformance Benchmarks

Achieving Sub-ms Latencies on Large Datasets in Public Clouds

One of our users was interested to learn more about YugabyteDB’s behavior for a random read workload where the data set does not fit in RAM and queries need to read data from disk (i.e. an uncached random read workload).

The intent was to verify if YugabyteDB was designed well to handle this case with the optimal number of IOs to the disk subsystem.

This post is a sneak peak into just one of the aspects of YugabyteDB’s innovative storage engine,

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Facebook’s User Database — Is it SQL or NoSQL?
August 29, 2017
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ACID TransactionsDatabasesDistributed SQLGoogle Spanner

Facebook’s User Database — Is it SQL or NoSQL?

Ever wondered which database Facebook (FB) uses to store the profiles of its 2.3B+ users? Is it SQL or NoSQL? How has FB database architecture evolved over the last 15+ years? As an engineer in FB database infrastructure team from 2007 to 2013, I had a front row seat in witnessing this evolution. There are invaluable lessons to be learned by better understanding the database evolution at the world’s largest social network,

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