Thoughts on distributed databases, open source and cloud native
GraphQL is taking the modern development world by storm having been adopted by companies like Facebook, GitHub and Intuit because it solves many of the common problems developers encounter when working with REST APIs. For example, it solves issues like overfetching (getting more data than your response needs) and underfetching (having to make multiple fetches to get all the data you need),
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Read MoreSince our last hiring post, a lot has changed in the world around us (and even that is an understatement). The coronavirus is having a devastating effect on people and communities around the globe. Now more than a million people have gotten sick (or worse), many others are economically impacted, losing jobs, businesses are shutting down, and activities we perhaps once took for granted–everything from dining out,
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Read MoreWelcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow.
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Read MoreThis is the second post in the Getting Started with YugabyteDB on Public Cloud series. In our first post, we covered Automating YugabyteDB Deployments with AWS CloudFormation templates. In this post we will show you how to achieve the same with Cloud Deployment Manager templates when using Google Cloud.
For redundancy across multiple fault domains inside a single region,
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Read MoreGraphQL is an MIT-licensed project originally developed at Facebook in 2012 and open-sourced a few years later. It is rapidly increasing in popularity with more than 29 million downloads to date. Why? Think of GraphQL as a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API,
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Read MoreIn 2017 we introduced YugabyteDB, an open source, high performance, cloud native database for mission-critical applications. As a team, we have worked first hand on a number of databases such as Apache HBase, Apache Cassandra (from even before it was open sourced), Oracle, and RocksDB. We were the team that built and ran Facebook’s NoSQL platform that powered a number of user-facing,
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Read MoreIn this blog post, we answer some common questions from YugabyteDB users to help you in your own application development and deployment. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub,
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Read MoreYugabyteDB has two JSON data types, json and jsonb, to let you store documents in a column in a YSQL table and to do content-based queries with index support. YSQL is PostgreSQL compatible and it therefore supports every one of the rich set of about thirty five JSON-specific operators and functions that users of PostgreSQL’s JSON functionality might already know,
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Read MoreYugabyteDB is easy to get started with on the infrastructure of your choice including public cloud platforms, private cloud environments, and any Kubernetes distribution. For example, you can quickly customize and deploy in AWS thanks to CloudFormation templates. AWS CloudFormation is one of the many ways to automate a public cloud deployment in a consistent manner.
Before we dive in,
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Read Morepgbench is a simple program for running benchmark tests on PostgreSQL. It runs the same sequence of SQL commands over and over, possibly in multiple concurrent database sessions, and then calculates the average transaction rate (transactions per second). By default, pgbench tests a scenario that is loosely based on TPC-B, involving five SELECT, UPDATE, and INSERT commands per transaction.
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