ACID
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing
Traditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm,…
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6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production
There is a massive difference between generating the input data needed by a Machine Learning model once (to prove a…
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Is “Translytics” Just Rebranded “OLTP”?
Recently Forrester group has started to talk about “translytics” and Translytical Databases – databases that can “Deliver Analytics At The Speed…
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The Changing Landscape of Databases in Financial Services
For decades, relational databases was the de-facto choice for financial service companies, until the 2000s where systems started to face…
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What’s Missing from Your Fraud Detection Strategy?
Credit card fraud is ever-growing and ever-present. According to the 2016 LexisNexis True Cost of Fraud study, the total cost…
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3 Must-haves of an In-memory Database for Modern Applications
Editor’s Note: This piece originally appeared in DBTA. More companies are realizing that leveraging real-time data is the key to…
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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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Lack of consistency is the hobgoblin of data management (and other survey results)
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…
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Billions and billions (of transactions)
Billions and billions of transactions are executed each and every day by production-deployed Volt Active Data applications. A back-of-the-napkin calculation…
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The five most frequent questions about Volt Active Data
We get a lot of questions about what Volt Active Data is, what it does well, and how it can…
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The two types of databases: Defines the World, or Reacts to the World
There’s a very simple distinction in the database world that tends to be ignored. Your database either: Or, it If…
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ACID: How to screw it up!
In my previous post, I described four applications (three implemented, one an example) that require, or at least strongly benefit…
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Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.