NoSQL
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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NoSQL Due Diligence, Part 3: the Open Source Debacle
Introduction The concept of open source has been integral to promoting a generation of NoSQL database platforms, each of which…
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NoSQL Due Diligence, Part 2: NoSQL Misconceptions
Introduction NoSQL databases became “en mode” some time around 2012 and sprouted a database revolution that led many enterprises to…
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NoSQL Due Diligence Part 1: Five Scenarios Where NoSQL Might Not Live Up to the Promises
Note: This is the first part of a three-part blog series on NoSQL database technology. Introduction A lot of companies…
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Do NoSQL databases need DBAs?
In last week’s blog I questioned the need for DBAs, concluding that yes, DBAs are still valuable in the current…
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The State of Database Technology, Part 1: Scaleability
Editor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on December…
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Oracle vs. NoSQL vs. NewSQL — Comparing Database Technology
The world has changed massively in the past 20 years. Back in the year 2000, a few million users connected…
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NewSQL in Plain English
Editor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on January 10, 2018.…
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NoSQL, RDBMS, and Contention for Shared Data: Part 2
Previously in part one of this blog series, I explained the problems with two methods of database interactions. Traditional JDBC-style interactions…
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NoSQL, RDBMS, and Contention for Shared Data: Part 1
First off: I’m not here to bash NoSQL. NoSQL came into existence for a good reason — your generic legacy…
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Fast Data in Financial Services: Key Trends to Maintain a Competitive Edge
Financial services institutions are faced with a number of high-pressure demands, whether it be from regulators, investors, customers, and internal…
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Data Consistency – Why You Need an ACID Database in Financial Services
In 2016, we partnered with Research Now to conduct a survey on a subject we take very seriously: data consistency.…
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Shocking Fact: Stored Procedures make OLTP faster. Seriously!
There are three ways to interact with the database in client / server computing: Of these, using stored procedures is…
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