Tag: SQL

July 22, 2018

6 Signs You Might be Misunderstanding ACID Transactions in Distributed Databases

As described in A Primer on ACID Transactions, first generation NoSQL databases dropped ACID guarantees with the rationale that such guarantees are needed only by old school enterprises running monolithic, relational applications in a single private datacenter. And the premise was that modern distributed apps should instead focus on linear database scalability along with low latency, mostly-accurate, single-key-only operations on shared-nothing storage (e.g. those provided by the public clouds).

Application developers who blindly accept the above reasoning are not serving their organizations well.

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July 20, 2018

By Karthik Ranganathan

Community News Release Announcements

YugaByte Database Community & 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.

Community News

There has been a lot of activity in terms of meetups and events. In June, YugaByte was at DockerCon. We also did a hands-on lab about building geo-distributed cloud apps at a Datariders meetup and a talk at Samsung about

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A Primer on ACID Transactions: The Basics Every Cloud App Developer Must Know

July 19, 2018

By Sid Choudhury

ACID Transactions Databases Distributed SQL How It Works

A Primer on ACID Transactions: The Basics Every Cloud App Developer Must Know

ACID transactions were a big deal when first introduced formally in the 1980s in monolithic SQL databases such as Oracle and IBM DB2. Popular distributed NoSQL databases of the past decade including Amazon DynamoDB and Apache Cassandra initially focused on “big data” use cases that did not require such guarantees and hence avoided implementing them altogether. However, ACID transactions have made a strong comeback in the last several years with the launch of next-generation distributed databases that have built-in support for them.

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How DynamoDB’s Pricing Works, Gets Expensive Quickly and the Best Alternatives

July 18, 2018

By Jimmy Guerrero

Amazon DynamoDB Amazon Web Services

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.

11 Things You Wish You Knew Before Starting with DynamoDB

July 10, 2018

By Karthik Ranganathan

Amazon DynamoDB Amazon Web Services

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.

DynamoDB vs MongoDB vs Cassandra for Fast Growing Geo-Distributed Apps

July 10, 2018

By Karthik Ranganathan

Amazon DynamoDB Apache Cassandra MongoDB

DynamoDB vs MongoDB vs Cassandra for Fast Growing Geo-Distributed Apps

Amazon DynamoDB is a popular NoSQL database choice for mid-to-large enterprises. In this post, we look beyond Amazon’s marketing claims to explore how well DynamoDB satisfies the core technical requirements of fast growing geo-distributed apps with low latency reads, a common use case found in today’s enterprises. We examine the development, operational and financial consequences of working around the limitations of DynamoDB when attempting to “force-fit” for this use case. Finally, we compare and contrast alternatives such as MongoDB,

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A Busy Developer’s Guide to Database Storage Engines — The Basics

June 28, 2018

By Sid Choudhury

Databases Distributed SQL How It Works

A Busy Developer’s Guide to Database Storage Engines — The Basics

Editor’s note – This is the first part of a two-part series on database storage engines:

A Busy Developer’s Guide to Database Storage Engines — The Basics (this post)
A Busy Developer’s Guide to Database Storage Engines — Advanced Topics

When evaluating operational databases, developers building distributed cloud applications tend to focus on data modeling flexibility, consistency guarantees, linear scalability,

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A Busy Developer’s Guide to Database Storage Engines — Advanced Topics

June 28, 2018

By Sid Choudhury

Databases Distributed SQL How It Works

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 take into account.

Consistency, Transactions & Concurrency Control

Monolithic databases, which are primarily relational/SQL in nature, support strong consistency and ACID transactions.

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YugaByte Raises $16M to Expand Reach to Large Enterprises

June 12, 2018

By Kannan Muthukkaruppan

Company News

YugaByte Raises $16M to Expand Reach to Large Enterprises

I am excited to announce that 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.

YugabyteDB, which hit the 1.0 GA milestone last month,

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Docker, Kubernetes and the Rise of Cloud Native Databases

June 11, 2018

By Sid Choudhury

CockroachDB Containers Distributed SQL Docker Kubernetes

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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Tag: SQL

Consistency, Transactions & Concurrency Control

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