Distributed PostgreSQL on a Google Spanner Architecture – Storage Layer
In this post, we dive into the architecture of the distributed storage layer of YugabyteDB, which is inspired by Google Spanner’s design
March 18, 2019
The Distributed SQL Blog
March 13, 2019
CockroachDBCommunity NewsCompany NewsDistributed SQLJepsen TestsKubernetesPerformance BenchmarksYugabyteDB
Announcing YugabyteDB 1.2 and Company Update
The team at YugaByte is excited to announce that YugabyteDB 1.2 is officially GA! You can download the latest version from our Quick Start page.
New in 1.2: YugaByte SQL Beta 3
YugaByte SQL (YSQL) is our PostgreSQL v11 compatible, distributed SQL API. It is ideal for powering microservices that require low latency, internet scale, geographic data distribution and extreme resilience to failures but want the data modeling flexibility of SQL (joins,
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March 5, 2019
YugabyteDB High Availability and Transactions for PostgreSQL and MongoDB Developers
In this post, we comparethe high availability and transactions architecture of PostgreSQL and MongoDB to that of YugabyteDB.
February 28, 2019
Navigating Database Concepts: Mapping YugabyteDB to PostgreSQL and MongoDB
In this post, we reviewed the building blocks of the YugabyteDB and mapped them to the corresponding concepts (if any) in PostgreSQL and MongoDB.
February 20, 2019
Enhancing RocksDB for Speed & Scale
As described in our previous post “How We Built a High Performance Document Store on RocksDB?”, YugabyteDB’s distributed document store (DocDB) uses RocksDB as its per-node storage engine. We made multiple performance and data density related enhancements to RocksDB in the course of embedding it into DocDB’s document storage layer (figure below). These enhancements are distributed as part of the YugabyteDB open source project. The goal of this post is to deep dive into these enhancements for the benefit of engineering teams interested in leveraging RocksDB beyond its original design intent of a fast monolithic key-value store.
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February 20, 2019
How We Built a High Performance Document Store on RocksDB?
This blog post was co-authored by Mikhail Bautin and Kannan Muthukkaruppan
RocksDB is a popular embeddable persistent key-value store. First open sourced by Facebook in 2012 as a fork of the Google LevelDB project, it has been adapted over the years to a wide range of workloads including database storage engines and application data caching.
In this post, we explain our rationale for selecting RocksDB as a foundational building block for YugabyteDB.
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February 12, 2019
How to Monitor YugabyteDB with Prometheus on Docker?
Observability is absolutely vital to operating business-critical data infrastructure at scale. This is why observability is not an afterthought in the YugabyteDB architecture. Every layer of YugabyteDB exposes metrics in the Prometheus format at the /prometheus-metrics endpoint. Given that Prometheus is essentially the de-facto standard for build-your-own infrastructure monitoring and alerting, you can get started with monitoring YugabyteDB in almost no time.
This post details how to install and configure both YugabyteDB and Prometheus on Docker so that you can run simple queries on the Prometheus UI.
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January 31, 2019
7 Issues to Consider When Evaluating FoundationDB
FoundationDB enjoys a unique spot in the transactional NoSQL space given its positioning as a basic key-value database that can be used to build new, more application-friendly databases. Given that many of the guarantees provided by its core engine (such as multi-shard ACID transactions and high fault tolerance) are similar to those provided by the YugabyteDB database, our users often ask us for a comparison. These users are essentially trying to understand whether they should build their app directly using one of the three YugabyteDB APIs or should they explore/build a new database layer on FoundationDB first.
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January 30, 2019
Basic Introduction to YugabyteDB Components
In this short blog post we are going to give you a quick overview of the components that make up a YugabyteDB universe.
Universe
YugabyteDB is composed of nodes. We collectively refer to this collection of all nodes as a universe. These nodes can be physical machines, virtual machines or containers (e.g. Kubernetes).
Clusters
A YugabyteDB universe is made up of one or more clusters. At a minimum it will contain a primary cluster,
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January 24, 2019
YugabyteDB vs CockroachDB Performance Benchmarks for Internet-Scale Transactional Workloads
This benchmarking blog comparing YugabyteDB vs CockroachDB highlights key differences in handling distributed SQL workloads, emphasizing performance and feature advantages.