Welcome!

Cognitive Computing Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Zakia Bouachraoui

News Feed Item

ScaleBase Releases Version 2.0 of its MySQL Database Scalability Software

ScaleBase, the company that keeps next-gen apps and business-critical databases up-and-running, just released Data Traffic Manager 2.0. It’s the only database scalability software that solves the three biggest challenges next-gen apps face when it comes to increased adoption – scalability, availability and centralized management – by providing scale out through advanced read/write splitting or data distribution in a single solution. The result: the ability to scale to an infinite number of users and increase performance without requiring any changes to your existing MySQL infrastructure.

This major upgrade comes with a new, user-friendly interface, and gives app providers the most mature and robust way to virtualize their databases, with unmatched ability to:

  • Simultaneously scale multiple applications and databases in a public or private cloud, dramatically reducing the cost and complexity of a distributed environment – something no other database scalability solution offers.
  • Centrally manage and analyze complex, distributed database environments – detailing the operational health and utilization though a new web-based console.
  • Support replicated databases across geographical boundaries, with location-independent load balancing and failover – a business continuity must-have.
  • Speed database queries and performance, with advanced read/write splitting, increased throughput and better resource allocation.

“The enhancements in the new version are in direct response to what our customers and prospects are asking for: support for multiple apps, a more intuitive interface and easier deployment,” said Doron Levari, CTO and founder of ScaleBase. “We’re committed to giving app developers and DBAs everything they need to stay focused on app innovation, without having to worry about changing their infrastructure to scale out their apps.”

ScaleBase backs some of the fastest growing databases – including those used by the world's largest chip manufacturer, one of world's largest and most widely respected manufacturers of smart phones and telecommunications hardware and software, and Mozilla, well-known for its Firefox browser.

Database Scalability & Availability: Critical to App Adoption

Next-gen app providers worldwide -- including big names like Google, Amazon and Pinterest -- are investing massive resources to ensure availability. Outages frustrate users, erode customer confidence and put revenue at risk. ScaleBase automates failover, eliminating the risk of downtime; automatically detecting database outages and transparently failing over to backup instances - ensuring application availability.

ScaleBase’s Data Traffic Manager 2.0 is faster and easier to evaluate and deploy – and its new user interface gives app developers and DBAs instant access to the critical information they need, all while increasing overall database performance. With ScaleBase, next-gen apps can scale out cost effectively, to an infinite number of users.

To learn more about scale-out strategies for MySQL databases, join ScaleBase for a joint webinar with 451 Research on February 28, 2013 at 1:00 p.m. EST. ScaleBase CTO Doron Levari will also discuss the new, key features of version 2.0.

Data Traffic Manager 2.0 is available today. For more information visit www.scalebase.com/version2.

About ScaleBase

ScaleBase allows apps to cost-effectively scale to an infinite number of users, while increasing performance and maintaining the existing relational database. ScaleBase dynamically scales out relational databases. ScaleBase virtualizes a distributed database environment, removing complexity, delivering real-time elasticity and increasing availability – all without requiring any changes to the existing infrastructure.

For more information, visit www.scalebase.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
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-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
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...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...