Category: <span>ACID</span>

Smart Stream Processing in the Age of 5G

Smart Stream Processing in the Age of 5G

In today’s digitally driven world, processing streaming data in real-time is a requirement for business success. The introduction of 5G networks will only increase the data volume and speed requirements that are already putting pressure on traditional data architectures.

Go fast! Blog post on fast data, translytics and VoltDB

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 Of Transactions”. Is this more marketing hype? Or is there something to it? A traditional OLTP database handles lots of rapid fire transactions, but doesn’t really do much more than that. An OLTP database application [...]

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 challenges with scalability and availability as the amount of data being processed and consumed shaped how companies conducted their business. NoSQL databases emerged as a reaction to these challenges and while they certainly helped address […]

VoltDB Technical Spotlight blog

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 per dollar of fraud losses has reached $2.40. The total cost of fraud as a percentage of revenue has continued to rise as well, growing 11% from 2015 to 2016. Given status quo, this will [...]

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 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 databases for your use case can be challenging. Regardless of use case and […]

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.voltdb.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 were interesting, which motivated us to do another survey – this time […]

Billions and billions (of transactions)

Billions and billions[1] of transactions are executed each and every day by production-deployed VoltDB 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 across a variety of innovative applications, applications not practical, or sometimes even possible, to build […]

The five most frequent questions about VoltDB

We get a lot of questions about what VoltDB 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 this, so check back often. How does VoltDB differ from a typical RDBMS? VoltDB was […]

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