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For decades, relational databases was the de-facto choice for financial service companies, until the 2000s where systems started to face challenges with scalability and availability as the amount of data being processed and consumed shaped how companies conducted their business. NoSQL databases…
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Credit card fraud is ever-growing and ever-present. According to the 2016 LexisNexis True Cost of Fraud study, the total cost per dollar of fraud losses has reached $2.40. The total cost of fraud as a percentage of revenue has continued to rise…
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Editor’s Note: This piece originally appeared in DBTA. More companies are realizing that leveraging real-time data is the key to success in modern applications, which means that more people are searching for the right in-memory database technology. However, with many options, comparing in-memory…
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In 2016, we partnered with Research Now to conduct a survey on a subject we take very seriously: data consistency. The results were shocking. While there was wide agreement on what is defined by “critical data” (financial data), only 58% of people…
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We did a survey last year to see how enterprises viewed the need for “real time”(see https://www.voltactivedata.com/blog/worlds-apart-real-time-data-disconnect). Since we are leaders in the fast data space, we wanted to try to gauge where companies were on the real-time maturity curve. The results…
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Billions and billions of transactions are executed each and every day by production-deployed Volt Active Data applications. A back-of-the-napkin calculation puts the number north of 50 billion a day. The number is likely much, much higher. These billions of transactions are executed…
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We get a lot of questions about what Volt Active Data is, what it does well, and how it can help enterprises solve a range of data management challenges. This post will address a few of those questions. We’ll have more posts like…
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There’s a very simple distinction in the database world that tends to be ignored. Your database either: Or, it If your database ‘Defines the World’ it means that if it doesn’t happen in the database, it doesn’t happen at all. Amazon.com is…
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In my previous post, I described four applications (three implemented, one an example) that require, or at least strongly benefit from, strong ACID transactions. With that out of the way, we can now get to the fun bits. Today’s claim: most databases…
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There’s a lot of discussion about the value of consistency and ACID transactions in data management. I thought it would be useful to describe three fully implemented enterprise-class applications, and one example application, that need ACID transactions. These descriptions should make an…
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Volt Active Data is already the go-to product for developing fast data applications because of its unparalleled performance, availability, and durability. v6.0 builds on that foundation by extending existing capabilities and simplifying the development process. What does a Volt Active Data application…
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There has been another round of online conversations about the CAP theorem as the internet community continues to discuss its implications on networked databases. Coda Hale recently wrote a well received article titled CAP paper by Gilbert and Lynch. Scattered in the larger…