Lots has happened since our last engineering update about 3 months ago. Below are some of the highlights.
We have made a lot of progress on YSQL, the PostgreSQL compatible distributed SQL API for YugabyteDB! You can also read about YSQL architecture which covers how distributed SQL is implemented in YugabyteDB.
We were at the first ever PostgresConf Silicon Valley in October 2018.
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Welcome to another post in our ongoing series that highlights new features from the latest 1.1 release announced last week. Today we are going to look at document data modeling using the native JSON data type available in YugabyteDB’s Cassandra compatible YCQL API. Note that this data type is specific to YugabyteDB and is not part of the standard Cassandra Query Language (CQL).
With YugabyteDB’s native JSON support,
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Welcome to another post from our ongoing series where we highlight a new feature from the latest 1.1 release! Today we are going to look at secondary indexes.
A database index is a data structure that improves the speed of data retrieval operations on a database table. Typically, databases are very efficient at looking up data by the primary key. A secondary index can be created using one or more columns of a database table,
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The team at YugaByte is excited to announce that YugabyteDB 1.1 is officially GA! You can download the latest version from our Quick Start page. New in this release:
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In case you missed the announcement, Ravi Murthy has joined YugaByte as our VP of Engineering. Read on to learn more about his experiences leading the teams who managed the explosive growth of applications and data at Facebook, plus what’s next at YugaByte!
After almost 7 years at Facebook, I am super-excited to start in my new role as YugaByte’s VP of Engineering. This post provides a brief history of my career through the years,
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Time for another update from the engineering team for the YugabyteDB database! Let’s dive in and see all the progress we’ve made.
Welcome to the inaugural edition of the YugabyteDB Community and Engineering update series! Let’s dive in and take a look at what has happened over the last few weeks.
Modern user-facing apps, like E-Commerce and SaaS, frequently require features from multiple databases (broadly — SQL, NoSQL and a cache) to support their multi-workload needs. App developers are responsible for understanding and managing which pieces of data should be stored in which SQL and NoSQL database. Furthermore, the app is also responsible for moving data across the tiers (e.g. populating the cache on reads and invalidating it on writes). This greatly increases development and operational complexity,
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