Welcome!

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, @DXWorldExpo, SDN Journal

@CloudExpo: Article

The App Economy Will Never Fully Take Flight without DBaaS

Database-as-a-Service offers developers freedom

Developers are continually upping the ante by creating better, smarter and more valuable apps. However, these apps also have increasingly sophisticated data requirements, and the ability to take them to the next level may be stymied by an archaic approach to databases in which developers are required to either make serious compromises about how they store and query their data, or learn to manage their own data infrastructure.

Increasingly sophisticated data requirements

Mobile apps, for instance, typically require a great deal of user-provided and contextual data to function, as compared to what a stationary computer would have collected 10 years ago. The data that's being collected is frequently well suited for a particular type of database, but a bad fit for another. While MongoDB, for example, handles most of what a mobile app requires, such as the geodata that a mobile device collects, other databases are well suited for tracking relationships between users (graphs) or time series data.

The difficulties of integrating multiple data streams

Not only do apps work better when they use a database that's appropriate for their specific requirement, but they get built faster. However, there are hundreds of different database engines available to developers, and going to production with the wrong one can be a costly mistake. For example, if they're creating a social app, they must consider the need to store user records, relationships between users, time series data, and connections between people. Games typically need to store some amount of social data, in addition to game state data, and many apps also need to store large binary files. Which database do you choose to work with? All of this can lead the developer to decision paralysis, which slows the development cycle.

Furthermore, going to production with a new database can be extremely difficult due to operational constraints. Most databases are difficult to "try out" and don't provide a one-click-to-production service that developers trust behind their apps. As developers are often constrained to the few databases supported by their organization, they may be tied to a specific type of database simply by virtue of the fact that they don't have the time to invest in managing another, even if it is more specific to their challenge.

Developers are hamstrung by the inability to use the latest and most effective tool to solve a problem, and too frequently "compromise" by using the wrong tool for the job. Problems associated with having the wrong database for a given problem don't always surface immediately, but when they do, the developer's hands are often tied. This can be particularly troublesome when it comes to app requirement changes. When a new feature has new data requirements, it introduces new problems, and often re-introduces old ones too.

Database-as-a-Service offers developers freedom

As Database-as-a-service gains steam - its market is predicted by MarketsandMarkets to reach $14B by 2019 - it offers to free developers' hands, allowing them to pick and choose databases for apps with the ease that one pulls a hammer or wrench from a toolbox.

Developers face some fairly common obstacles to adopting database-as-a-service, such as  distrust of cloud and confidence in operational abilities, which is changing over time as everyone learns more about what to ask of a provider. Additionally, if DBaaS platforms can be tried out without an enormous commitment, this often gives the proponents a chance to show what they can accomplish without a huge cost or time commitment. When DBaaS becomes widely adopted, we'll begin to see tremendous advances in the functionality of apps.

More Stories By Kurt Mackey

Kurt Mackey is the CEO of MongoHQ. Prior to joining MongoHQ, Mackey was the technical director for Ars Technica at Conde Nast, and before that, he was the director of research and development at ServerCentral. He received his education from the University of Oklahoma, Norman Campus.

Latest Stories
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 d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
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 ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
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...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
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...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
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.