Yugabyte Database Engineering Update — July 20, 2018
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.
July 20, 2018
SQL
July 18, 2018
How DynamoDB’s Pricing Works, Gets Expensive Quickly and the Best Alternatives
DynamoDB is AWS’s NoSQL alternative to Cassandra, primarily marketed to mid-sized and large enterprises. It works best for those who require a flexible data model, reliable performance, and the automatic scaling of throughput capacity. In a nutshell, DynamoDB’s monthly cost is dictated by data storage, writes and reads. Let’s walk through a synopsis.
July 10, 2018
11 Things You Wish You Knew Before Starting with DynamoDB
This post is to help developers and operations engineers understand the precise strengths and weaknesses of DynamoDB, especially when it needs to power a complex, large-scale application.
July 10, 2018
DynamoDB vs MongoDB vs Cassandra for Fast Growing Geo-Distributed Apps
This post delves into the technical requirements of fast-growing geo-distributed applications with low latency reads and explores the limitations of Amazon DynamoDB for this use case, as well as alternative solutions such as MongoDB, Apache Cassandra, and YugabyteDB, a high-performance distributed SQL database.
June 28, 2018
A Busy Developer’s Guide to Database Storage Engines — The Basics
Learn the basics of database storage engines, incl. B-tree and LSM tree based storage engines that are popular in the context of modern distributed cloud apps
June 28, 2018
A Busy Developer’s Guide to Database Storage Engines — Advanced Topics
In the first post of this two-part series, we learned about the B-tree vs LSM approach to index management in operational databases. While the indexing algorithm plays a fundamental role in determining the type of storage engine needed, advanced considerations highlighted below are equally important to consider.
Consistency, Transactions, and Concurrency Control
Monolithic databases, which are primarily relational/SQL in nature, support strong consistency and ACID transactions.
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June 12, 2018
Yugabyte Raises $16M to Expand Reach to Large Enterprises
Yugabyte has raised $16M in additional funding in a round led by Dell Technologies Capital and our previous investor Lightspeed Venture Partners. Combined with our previous funding of $8M, YugaByte has now raised $24M to solve one of the most challenging problems in operational databases today — a cloud-native, high-performance distributed SQL database platform.
June 11, 2018
Docker, Kubernetes and the Rise of Cloud Native Databases
Containerized Stateful Services Are Here
Results from the 2018 Kubernetes Application Usage Survey should put to rest concerns enterprise users have had around the viability of Docker containers and Kubernetes orchestration for running stateful services such as databases and message queues. Its exciting to see that nearly 40% of respondents are running databases (SQL and/or NoSQL) using Kubernetes. This number will continue to grow in the months ahead.
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May 21, 2018
YugabyteDB 1.0 — A Peek Under The Hood
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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May 2, 2018
Announcing YugabyteDB 1.0!
Team Yugabyte is delighted to announce the general availability of YugabyteDB 1.0!
It has been an incredibly satisfying experience to, in just two years, build and launch a cloud-scale, transactional and high-performance database that’s already powering real-world production workloads. I wanted to take a moment to share our journey to 1.0 and the road ahead.
The Inspiration
Modern user-facing applications are increasingly moving to a multi-region,
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