Category: Scalability

Using Data to Monetize 5G for Industry 4.0

5G whitepaper banner

There’s a lot of buzz around how 5G will impact industry 4.0, but there’s not a whole lot out there about why it’s important to consider upgrading to 5G to benefit your company’s bottom line. Seeing this gap, we worked with experts at FierceWireless to help shape a new whitepaper, “Using Data to Monetize 5G […]

Scalable MicroService Architecture

microservices database architecture blog
Application State Management and Data-Driven Decision Making As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. This gave rise to the need for [...]

6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production

Reasons Machine Learning Projects Fail

There is a massive difference between generating the input data needed by a Machine Learning model once (to prove a concept), and doing it continuously, indefinitely, at scale, and within short time periods. Years of experience working with disparate and imperfect data sets lead me to suspect that people trying to move desktop scale ML […]

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 2, 2017. Despite multiple challenger technologies (eg. Object Oriented databases), the relational databases from Oracle, IBM and Microsoft have prevailed supreme for over 30 years. This dominance has however been increasingly challenged by a new [...]

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 mean that locking and latching take up ~30% of compute time. This overhead skyrockets when you try to use a distributed system. A NoSQL key-value interaction allows for better scalability, but for non-trivial use cases […]

NoSQL, RDBMS, and Contention for Shared Data: Part 1

architecture contention shared data

First 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, Legacy RDBMS and other technologies gets hung up on such issues as the […]

VoltDB and Amazon EBS – Optimal use of IO devices

VoltDB is now available ‘by the hour’ on Amazon EC2. To get best results and optimal TCO from your VoltDB cloud instances, users need to understand how VoltDB handles IO, which we’ll discuss below. At the close of this blog, we’ll also review available IO options. Why would an in-memory database like VoltDB need IO? […]

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 […]

Bringing Rack-Aware Topology to VoltDB

One of the key tasks during initialization of a VoltDB cluster is determining cluster topology. The topology includes placement of the partition masters and replicas on physical VoltDB nodes. Once determined, the topology does not change unless node failure or elastic scaling happen. For some years, VoltDB used a simple algorithm for determining topology. It [...]
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