Category: Volt Capabilities
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4 min read
What Makes a Good Translytics Platform?
Read more: What Makes a Good Translytics Platform?Previously, I critiqued the Forrester Wave Translytical Data Platforms Q4 2017 report. At the end, I promised to provide a list of criteria to evaluate translytical databases. In order to create that list, we need to start with a solid definition of…
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4 min read
Volt Active Data Releases V8
Read more: Volt Active Data Releases V8Volt Active Data is pleased to announce V8. Our engineering team has spent the last year adding features across the product to bring you the fastest database to handle millions of decisions per second, with single-digit millisecond latencies. Volt Active Data’s customers…
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4 min read
Solving Lambda Architecture’s Fast Layer Problem
Read more: Solving Lambda Architecture’s Fast Layer ProblemGetting up to date answers about recent events and asking the same question about older data is really hard to do using open source. The Lambda Architecture is a somewhat complicated way of doing this kind of mass scale, relatively fast, open…
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4 min read
The State of Database Technology, Part 1: Scaleability
Read more: The State of Database Technology, Part 1: ScaleabilityEditor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on December 2, 2017.Despite multiple challenger technologies (eg. Object Oriented databases), the relational databases from Oracle, IBM and Microsoft have prevailed supreme for over…
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4 min read
Oracle vs. NoSQL vs. NewSQL — Comparing Database Technology
Read more: Oracle vs. NoSQL vs. NewSQL — Comparing Database TechnologyThe world has changed massively in the past 20 years. Back in the year 2000, a few million users connected to the web using a 56k modem attached to a PC, and Amazon only sold books. Now billions of people are using…
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4 min read
NewSQL in Plain English
Read more: NewSQL in Plain EnglishEditor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on January 10, 2018. The world has changed massively in the past 20 years. Back in the year 2000, a few million users connected to the…
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4 min read
QuickStart Video: Using Volt Active Data With Docker
Read more: QuickStart Video: Using Volt Active Data With DockerDocker is a powerful tool that many of our customers and community members use for the development and testing of distributed systems. What You’ll Learn in This Video Recently, our Customer Success Manager, Ben Ballard, presented a Quick Start Tutorial on this…
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4 min read
Database Resolutions for 2018
Read more: Database Resolutions for 2018The New Year brings about the perfect time to start fresh and set some new goals. So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to…
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4 min read
“Forrester Wave Translytical Data Platforms Q4 2017” Puts a Good Foot Forward But Doesn’t Take Users Far Enough on the Selection Criteria
Read more: “Forrester Wave Translytical Data Platforms Q4 2017” Puts a Good Foot Forward But Doesn’t Take Users Far Enough on the Selection CriteriaForrester recently published a new Wave™ report on Translytical Data Platforms. In it, they define a Translytical Data Platform as: “A unified and integrated data platform that supports multi-workloads such as transactional, operational and analytical simultaneously in real-time, leveraging in-memory capabilities including…
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4 min read
Meltdown and Spectre and Volt Active Data
Read more: Meltdown and Spectre and Volt Active DataThe internet is ablaze with articles and talk about hardware security flaws found recently in most modern processors, including chips from Intel and AMD – that is, in the processors used by everyone who runs software to provide a service. In other…
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4 min read
NoSQL, RDBMS, and Contention for Shared Data: Part 2
Read more: NoSQL, RDBMS, and Contention for Shared Data: Part 2Previously in part one of this blog series, I explained the problems with two methods of database interactions. Traditional JDBC-style interactions mean that locking and latching take up ~30% of compute time. This overhead skyrockets when you try to use a distributed system.…
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4 min read
NoSQL, RDBMS, and Contention for Shared Data: Part 1
Read more: NoSQL, RDBMS, and Contention for Shared Data: Part 1First off: I’m not here to bash NoSQL. NoSQL came into existence for a good reason — your generic legacy SQL RDBMS is often slow and expensive when compared to NoSQL alternatives. But much of the discussion I’ve seen about NoSQL, NewSQL,…
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