Welcome!

Linux Containers Authors: Elizabeth White, Zakia Bouachraoui, Liz McMillan, Yeshim Deniz, Pat Romanski

Related Topics: Linux Containers, Java IoT

Linux Containers: Article

Quickbase: Why RAM Matters

Why RAM Matters

I first stumbled onto QuickBase more than five years ago as a Sourcing Manager at American Greetings. I was looking for a better way to collaborate with the Product Managers than sending a barrage of cost requests to my buying team.  My first app, the RFQ Manager, was an instant hit.  In fact, the Product Manager I tested it on liked it so much I did not even need to ask the other PM's to start using the tool, they were asking me where to sign up.  It wasn't long before I was literally touting QuickBase as "the best thing since sliced bread," but it would take five long years, hundreds of developed applications and a deep search of the PaaS marketplace before I really understood what makes QuickBase special.

With so much time behind the wheel of QuickBase, it seemed that the almost instant access and reportability of entire datasets linked across multiple applications, all updated virtually in real time was something to be assumed.  Last winter, our MCF leadership team spent several days with QuickBase and talked a lot about what's under the hood, namely the use of a RAM/in-memory database.  However, at the time I did not fully grasp the meaning until I explored other PaaS and SaaS offerings and realized that few if none were delivering the kind of data experience that QuickBase could provide.

In-memory databases (IMDB) store information in the RAM memory of a CPU whereas main-memory databases (MMDB) store data on disk space.  IMDB storage is not-persistent, meaning that when the power is turned off the data is lost but accessing the information is must faster and requires fewer computations.  It's basically equivalent to the RAM on your PC where the information is stored for running applications that need fast access to the data.  This model is often used in applications where access speed is essential such as 9-1-1 response systems and telecommunications.

What this means for QuickBase end-users is that the accessibility of the data, the computational capability, is optimized for speed.  To translate this into terms that may be more familiar, imagine a totally different setup for your PC where instead of 1 or 2 GB of RAM and a huge hard drive, you really only use your hard-drive as back-up and your PC with 200 GB of RAM is never turned off.  This means that every file and application is almost instantly accessible, there's no booting up and no time loading applications because everything is always loaded in memory.  

With all this in mind, it is clear why QuickBase provides world class collaboration, access and reporting for work groups, teams, smaller businesses, project managers, etc.  It's important when choosing where and how to deploy QuickBase to consider the use and underlying data needs, as some requirements are not ideal for IMDB due to dataset size and require the larger and cheaper data storage solutions.  Fortunately, integrating with QuickBase is straight forward, allowing it to serve as the application for working data and with transactional or unnecessary data archived or purged.

More Stories By Govind Davis

As a Partner in MCF, Govind has played the lead role in designing custom business process solutions for MCF customers. The philosophy behind his methodology is to work closely with clients to develop a deep understanding of their unique business process culture and design solutions to fit their environment. This process has led to the successful deployment of more than 50 custom applications. He spent three years as a Web 2.0 architect in a multi-billion dollar consumer products company driving solutions through out Global Sourcing. His development efforts tied together multiple North American locations with 3rd party suppliers in Asia. Hundreds of millions in purchasing dollars have run through his internally developed web applications. http://www.mcftech.com

IoT & Smart Cities Stories
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
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.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
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...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...