“Choosing the cloud database is confusing you? Down below we will show you how”
Whether you just want to expand your database to the cloud or migrate entirely to the cloud or are planning for a database deployment on-site or currently running your business database on-premises, make sure to take time to consider the cloud opportunity. With a large number of cloud database solutions available, how do you know which one is the best fit for you? The points discussed in this post will help you get started!
Haven’t you yet been asked to port your applications to the cloud? It doesn’t mean you won’t be. Moving on-premises data to the cloud – it is all the rage these days. While you might find it pretty simple to migrate on-premises solutions to run in the Cloud, there are a lot of differences between On-Premises and Cloud-Native data center and hosting environments. If you desire to keep the data synchronized, it can be challenging to maintain data stores on-premises and in the cloud.
Sitting in a relational database, document or key-value store, network attached storage, cache, or cold storage, cloud-native databases have both cost and performance efficiencies from using cloud-native services in a public cloud infrastructure as a service or platform as a service. Is it really necessary to explain? Performance is, and always will be, a key element when it comes to choosing a server or a database solution. So, all things considered, they should be a faster and more cost-effective option for large businesses, as well as SMEs and startups with smaller budgets. Expect to do more with less!
But are cloud-native databases all about the advantages? No, they aren’t. Their downside is the minimum flexibility. If you need to move the data back to your premises, you will need to install the 3rd party software and convert the data into the structure of the on-premises databases. Don’t expect a ‘single pane of glass’ view for your entire database infrastructure!
Databases that run both on-premises and in the cloud (such as IBM, Oracle Database Cloud Service, SQL Server, Microsoft, and many others) are where the infrastructure, virtual machine, and operating system are abstracted away. Therefore, all that developers and administrators have to do is to do migrations lickety-split, and even do real-time replications between the on-premises and cloud-based versions of the same database without worrying about the application being deployed and hosted.
Since the options vary widely in capability, features, and pricing, if you make the wrong decision, it can lead to a myriad of problems which include your customers suing you. To make the best choice, you have to understand your needs and focus mostly on what you wish to see at the end of the day.
When it comes to picking a cloud hosting platform provider, cost is undoubtedly often the biggest factor in the minds of business leaders. Cloud database pricing runs the gamut: from free versions to pay-per-use to a monthly subscription. Usually, the least expensive solution (in terms of the size of the cloud bill) that meets the requirements of the business wins — or should. But is it always right to focus so heavily on the price since the value for your business needs is definitely the primary focus? Make sure you are taking into account not only what would be the cheapest solution for your company but also what would be the best fit for you.
Want to save costs on-premise and in the cloud? Another option to consider here is open source. There are enormous cloud databases you can weed through to decide the most efficient. If you are looking to choose from the biggest cloud hosting platforms, it comes as no surprise that Amazon Web Services (AWS), Google Cloud Platform (GCP), Rackspace Cloud, and Microsoft Azure are the dominant horses in this race. However, big-name companies do not necessarily have the solution to all your problems. Qubole and Joyent with strong big data credentials are examples of lesser-known providers of cloud big data services. Hadoop is usually available from major cloud providers, and other database models like EnterpriseDB, Garantia Data, or MongoLab may also be supported as cloud services. Each option offers its myriad of benefits and its share of disadvantages.
As developers charged with making a decision on the right cloud database to best serve their data and applications are faced with a plethora of choices, to heighten the probability of success in using a new cloud solution for your company, why not see our recommendations on the right way to pick a cloud database?
Whether you just want to expand your database to the cloud or migrate entirely to the cloud or are planning for a database deployment on-site or currently running your business database on-premises, make sure to take time to consider the cloud opportunity. With a large number of cloud database solutions available, how do you know which one is the best fit for you? The points discussed in this post will help you get started!
How to choose a cloud database?
To choose the best cloud big data platform, base your choice on some of your unique business needs and always be true to them so that you can evaluate how each platform supports your needs.Haven’t you yet been asked to port your applications to the cloud? It doesn’t mean you won’t be. Moving on-premises data to the cloud – it is all the rage these days. While you might find it pretty simple to migrate on-premises solutions to run in the Cloud, there are a lot of differences between On-Premises and Cloud-Native data center and hosting environments. If you desire to keep the data synchronized, it can be challenging to maintain data stores on-premises and in the cloud.
Sitting in a relational database, document or key-value store, network attached storage, cache, or cold storage, cloud-native databases have both cost and performance efficiencies from using cloud-native services in a public cloud infrastructure as a service or platform as a service. Is it really necessary to explain? Performance is, and always will be, a key element when it comes to choosing a server or a database solution. So, all things considered, they should be a faster and more cost-effective option for large businesses, as well as SMEs and startups with smaller budgets. Expect to do more with less!
But are cloud-native databases all about the advantages? No, they aren’t. Their downside is the minimum flexibility. If you need to move the data back to your premises, you will need to install the 3rd party software and convert the data into the structure of the on-premises databases. Don’t expect a ‘single pane of glass’ view for your entire database infrastructure!
Databases that run both on-premises and in the cloud (such as IBM, Oracle Database Cloud Service, SQL Server, Microsoft, and many others) are where the infrastructure, virtual machine, and operating system are abstracted away. Therefore, all that developers and administrators have to do is to do migrations lickety-split, and even do real-time replications between the on-premises and cloud-based versions of the same database without worrying about the application being deployed and hosted.
Research cloud database providers
Now as you understand your needs, it is high time to take a look at what different database providers have to offer. Make sure that the cloud database solution provider you are investing your time and efforts in will deliver exactly what they promise.Since the options vary widely in capability, features, and pricing, if you make the wrong decision, it can lead to a myriad of problems which include your customers suing you. To make the best choice, you have to understand your needs and focus mostly on what you wish to see at the end of the day.
When it comes to picking a cloud hosting platform provider, cost is undoubtedly often the biggest factor in the minds of business leaders. Cloud database pricing runs the gamut: from free versions to pay-per-use to a monthly subscription. Usually, the least expensive solution (in terms of the size of the cloud bill) that meets the requirements of the business wins — or should. But is it always right to focus so heavily on the price since the value for your business needs is definitely the primary focus? Make sure you are taking into account not only what would be the cheapest solution for your company but also what would be the best fit for you.
Want to save costs on-premise and in the cloud? Another option to consider here is open source. There are enormous cloud databases you can weed through to decide the most efficient. If you are looking to choose from the biggest cloud hosting platforms, it comes as no surprise that Amazon Web Services (AWS), Google Cloud Platform (GCP), Rackspace Cloud, and Microsoft Azure are the dominant horses in this race. However, big-name companies do not necessarily have the solution to all your problems. Qubole and Joyent with strong big data credentials are examples of lesser-known providers of cloud big data services. Hadoop is usually available from major cloud providers, and other database models like EnterpriseDB, Garantia Data, or MongoLab may also be supported as cloud services. Each option offers its myriad of benefits and its share of disadvantages.
As developers charged with making a decision on the right cloud database to best serve their data and applications are faced with a plethora of choices, to heighten the probability of success in using a new cloud solution for your company, why not see our recommendations on the right way to pick a cloud database?
The Right Way To Pick a Cloud Database
Reviewed by thanhcongabc
on
July 09, 2018
Rating:
Reviewed by thanhcongabc
on
July 09, 2018
Rating:
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