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
January 5, 2018
The Distributed SQL Blog
December 20, 2017
Building a Strongly Consistent Cassandra with Better Performance
In an earlier blog on database consistency, we had a detailed discussion on the risks and challenges applications face in dealing with eventually consistent NoSQL databases. We also dispelled the myth that eventually consistent DBs perform better than strongly consistent DBs. In this blog, we will look more closely into how YugabyteDB provides strong consistency while outperforming an eventually consistent DB like Apache Cassandra. Note that YugabyteDB retains drop-in compatibility with the Cassandra Query Language (CQL) API.
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November 27, 2017
YugabyteDB Architecture: Diverse Workloads with Operational Simplicity
This post highlights the architectural considerations that went into the design of the DocDB and YQL layers for the YugabyteDB database.
November 2, 2017
Yugabyte Has Arrived!
Today, we are launching Yugabyte out of stealth and announcing the availability of YugabyteDB’s first public beta release.
September 28, 2017
A for Apple, B for Ball, C for “CAP Theorem”
Dive into the types of consistency referenced by the CAP theorem, learn how they impact an app, and get the facts re: common myths about eventual consistency.
August 29, 2017
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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August 18, 2017
NoSQL vs SQL in 2017
Let’s look at the evolution from RDBMSs to NoSQL databases to handle massive data and complex operations.