Welcome!

@CloudExpo Authors: Zakia Bouachraoui, Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White

Related Topics: @ThingsExpo, Java IoT, Linux Containers, Machine Learning , Agile Computing, @CloudExpo, @DXWorldExpo

@ThingsExpo: Article

VoltDB Closes $8 Million Series B Round For Big Data and IoT

Funding bolsters VoltDB's ability to support next-generation "smart" applications that tap Big Data and the Internet of Things

VoltDB announced that it has closed $8 million in Series B funding. The round was led by a Silicon Valley luminary with participation from two additional independent investors as well as existing stakeholders Sigma Partners and Kepha Partners. This funding represents the first in a succession of strategic developments to be announced which bolster VoltDB's ability to support next-generation "smart" applications that tap Big Data and the Internet of Things.

With more than 400 commercial customers and a highly differentiated product proven in mission critical applications, VoltDB will use the funds to accelerate sales and marketing as well as global expansion.  VoltDB's "no compromise" design gives customers the world's most powerful platform with unparalleled speed and capacity to process, analyze and make decisions on massive amounts of incoming data in real-time (milliseconds). VoltDB's customers use the company's unique in-memory architecture to power everything from mission critical enterprise applications, transportation systems and electricity management, to mobile and advertising networks.

"Organizations everywhere are looking to drive competitive business value from new Big Data applications that can consume, analyze and act on massive amounts of dynamic data in real-time," said VoltDB CEO Bruce Reading. "This is exactly what VoltDB was built for – and we are seeing demand in every corner of the world. This new round of funding will enable us to expand to serve this growing customer base."

Founded in 2009 by Professor Michael Stonebraker of MIT, often called the father of modern relational database technology, VoltDB represents the culmination of 40 years of trial and error in developing database architecture. Built from the ground up to combine breakthrough speed and real-time, in-memory analytics in a single database system, VoltDB allows organizations to derive the maximum business value of every single piece of data the moment it arrives.

"The database industry has fundamentally changed in recent years, from one dominated by large 'one size fits all' database vendors, to a much more diffuse market where different databases are used for different classes of applications," said Sigma Partners Managing Director, John Mandile. "VoltDB is an extremely strong player in 'smart' applications requiring massive throughput, real-time analytics and transactional consistency."

"VoltDB's customers are the innovators in trends like the Internet-of-Things, micro-personalization and smart infrastructure," said Kepha Partners Founder and Partner, Jo Tango.  "This market is evolving so quickly, though, that these innovators will soon be the mainstream.  We believe VoltDB will be a major beneficiary of this trend."

About VoltDB
VoltDB provides the world's fastest operational database, delivering high-speed data processing and real-time, in-memory analytics in a single database system. VoltDB is a relational database that gives organizations an unprecedented ability to build ultra-fast applications that can extract insights from massive volumes of dynamic data and enable real-time decision-making. Organizations in markets including mobile, financial services, energy, advertising and gaming use VoltDB to maximize the business value of data at every interaction. VoltDB is privately held with offices in Bedford, Mass. and Santa Clara, Calif. www.voltdb.com

The world's fastest applications run on VoltDB.

Media inquiries:
Tracey Frederickson
Davies Murphy Group, Inc.
(781) 418-2414 
[email protected]

Logo - http://photos.prnewswire.com/prnh/20121204/MM24267LOGO

SOURCE VoltDB

More Stories By Liz McMillan

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

CloudEXPO Stories
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by FTC, CUI/DFARS, EU-GDPR and the underlying National Cybersecurity Framework suggest the need for a ground-up re-thinking of security strategies and compliance actions. This session offers actionable advice based on case studies to demonstrate the impact of security and privacy attributes for the cloud-backed IoT and AI ecosystem.
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, insiders, government compulsion, and network hackers? Join Ambuj Kumar (CEO, Fortanix) to discuss best practices and technologies for enterprises to securely transition to a multi-cloud hybrid world.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in this new hybrid and dynamic environment.
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.