Hosting a database in the cloud offers major advantages, like scalability and lower costs, yet also presents potential headaches, like privacy and liability. Here’s a look at the pros and cons of cloud computing databases. Database-as-a-Service versus Data-as-a-Service Cloud Storage and Backup Benefits Protecting your company’s data is critical. Cloud storage with automated backup is […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Hosting a database in the cloud offers major advantages, like scalability and lower costs, yet also presents potential headaches, like privacy and liability. Here’s a look at the pros and cons of cloud computing databases.
Database-as-a-Service versus Data-as-a-Service
Cloud Storage and Backup Benefits
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
SCHEDULE FREE CONSULT/DEMO
Cloud-based database solutions fall into two basic categories: Database-as-a-Service (DBaaS) and Data-as-a-Service (DaaS). The key difference between the two is mainly how the data is managed.
DaaS gives you the ability to define your data and then query against this data from anywhere in the world that has an Internet connection. Unlike traditional database solutions, DaaS does not implement typical RDBMS interfaces such as SQL. Instead, the data is accessed via common set of APIs. Moreover, DaaS is best suited to basic data management querying and manipulation.
DBaaS is a far more robust data solution, offering full database functionality. In a DBaaS, a management layer is responsible for the continuous monitoring and configuring of the database to achieve optimized scaling, high availability, multi-tenancy, and effective resource allocation in the Cloud. Thus, the developer is spared much of the hassles of the tedious ongoing DB management tasks and operations, as those are automatically handled by the service.
Configuration Models
There are three basic flavors of Cloud-based database services, which differ on how much flexibility the user has to customize the environment.
At one end of the scale, there are computing clouds where the user has access to a barebones machine with just an operating system to which he/she gets full flexibility in installing and configuring his/her preferred RDBMS software. This setup is known as an Infrastructure as a Service (IaaS) Cloud. A good example of this type of service is Amazon’s Elastic Computing Cloud (EC2). This platform would be an excellent choice for someone who wanted to have full control over their hosted database.
Another common model for deploying RDBMS in the Cloud is the Virtual appliance model. A virtual appliance is a Virtual Machine environment image with a pre-installed pre-configured application. Amazon also offers pre-configured MySQL, Oracle, and Microsoft SQL Server virtual appliances for deployment in its EC2 Cloud.
Read the rest about cloud-based database solutions at Database Journal.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
SEE ALL
ARTICLES