The Distributed SQL Blog

Achieving Sub-ms Latencies on Large Datasets in Public Clouds

January 26, 2018

Amazon Web Services Cloud Providers Google Cloud Platform How It Works Microsoft Azure Performance 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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Extending Redis API with a Native Time Series Data Type

January 5, 2018

By Pritam Damania

How It Works How To

Extending Redis API with a Native Time Series Data Type

This blog highlights the challenges of handling time series data with vanilla Redis and the efficiency of YugaByte’s TS datatype

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

August 29, 2017

By Karthik Ranganathan

ACID Transactions Databases Distributed SQL Google 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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Achieving Sub-ms Latencies on Large Datasets in Public Clouds

Extending Redis API with a Native Time Series Data Type

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

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