Cloud Based Database – In 2012, Amazon launched the first DynamoDB cloud database and changed the database landscape forever. since then Cloud databases have also grown exponentially in terms of adoption and innovation. While the entire software development industry is geared towards cloud-based development. Cloud databases are becoming more and more important. Over the next few days, Gartner predicts that by the end of 2022 75% of all databases will migrate to the cloud:
Gartner says the future of the database market is the cloud, by 2022 75% of all databases will be deployed or migrated to cloud platforms, with only 5% ever considered for… www.gartner.com
Cloud Based Database
Why are cloud databases so popular? In terms of database technology Public cloud databases are no different from other SQL or NoSQL databases. However, the main selling point of public cloud databases is database management and scalability.
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In many traditional SQL and NoSQL databases, the application owner manages the database. This includes duplication, segmentation, backup, recovery, scaling, but in the cloud database. The cloud provider manages the database.
Although the main SQL and NoSQL databases are trying to improve these features. But it wasn’t built on the grounds for these needs.
During the Christmas sale in December 2004, Amazon learned the hard way that a centralized, robust, and consistent RDBMS couldn’t handle the load of Web-Scale applications. And with two-phase commits, traditional SQL databases cannot provide the high availability and horizontal scalability that Amazon is looking for. The Amazon engineering team developed the new NoSQL database DynamoDB and published their findings in a 2007 paper on Dynamo. The Amazon Dynamo paper played a key role in the later development of NoSQL databases such as Cassandra, Riak.
Although DynamoDB was used as the primary database for Amazon shopping cart applications, it was only made public in 2012. Since then, DynmoDB has been the most popular public cloud database and It is one of the most popular AWS services.
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Amazon DynamoDB is one of the most used hyperscale cloud databases. It is also one of the most common AWS services.
In the past few years There is fierce competition from open source databases (such as Cassandra, MongoDB) and other public cloud databases (Azure Cosmos DB).
As Amazon is the leading public cloud provider, DynamoDB is the most popular NoSQL database in the public cloud.
According to the top database ranking site, DB-Engines is the second most popular public cloud database after Azure SQL Database:
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The Stack Overflow 2020 Developer Survey has placed DynamoDB as the 11th most popular database for 2020. This is an achievement considering that DynamoDB is the only public cloud database on that list:
Since its launch in 2012, DynamoDB has been one of the most advanced databases in the DB-Engines industry, demonstrating the continued growth of trends for DynamoDB over its lifetime:
Few companies have to deal with large datasets like Google. It’s no surprise that Google is leading the BigData landscape in the 21st century with so many new ideas and innovations. The “one size fits all” SQL data is not enough for their Analytics workloads. They developed a new “Dremel” database for data warehouses such as handling high-volume analytics data. Google published an article titled “Dremel: Interactive Analysis of the Web.” -Scale Datasets” in 2010 to make their research publicly available.
Later, Google made its internal Dremel Database publicly known as BigQuery Database in 2011. It’s the leading and most advanced database for data warehouse and analytics loads. Google Cloud (GCP) has a strong presence in the storage landscape, and BigQuery is playing a key role there.
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BigQuery has revolutionized data warehousing. It is the third most popular cloud database according to DB-Engines rankings:
It is one of the most advanced Data Warehousing solutions and has generated a lot of hype over the past few years. As shown below:
Microsoft is another big player in the database landscape. With Microsoft SQL Server, Microsoft dominated the mid-range Windows commercial database market when Microsoft adopted a cloud-first approach in the 2010s. Managed at the top of Microsoft SQL Server In the years that followed, Microsoft has managed SQL Server through many changes.
Today, Azure SQL Database is not only a database managed as a service of Microsoft SQL Server, but also has other unique features. with added value as well for many organizations Especially for those who are already using Microsoft SQL Server, this database is in demand in the cloud. This is because on-premises Microsoft SQL Server can be easily lifted and shifted to the cloud.
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Azure SQL Database is not as disruptive or innovative as some of the other databases on this list, but there is a huge market of SQL databases managed in the cloud. In that domain, Azure SQL Database is excellent.
Azure SQL databases are not as popular as the other databases on this list, but they have continued to create positive trends over the past decade, with a high increase last year:
Microsoft is a traditional tech giant based around the world. When Microsoft introduced its cloud-first policy in 2010, they wanted to develop their own Planet-Scale NoSQL databases to emphasize maximum flexibility and reliability. Developer friendly Finally, after seven years of intensive research and development. They launched a globally multi-model and consistent Azure Cosmos DB database in 2017. In many ways, Azure Cosmos DB has introduced several novel features in database technology. Although it is not the first multi-model database, it is the most advanced multi-model database. There are also additional developer-friendly features.
Today, Azure Cosmos DB is one of the fastest growing databases on the market. In today’s era, searching for a “master database”, that is, “one database that controls all” is a hot topic. among the applicants With all potential “master databases”, Azure Cosmos DB is the ideal choice at the moment.
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Azure Cosmos DB is the youngest database on this list and has only been on the market for the last four years. However, it has very high industry adoption. And it ranks 4th in terms of cloud database popularity:
As a leading and pioneering cloud service provider, Amazon wants to move fast. Amazon is famous or infamous. Massive open source repository When Google rocked the Data Warehouse in 2011 with Big Query, Amazon adopted the popular and innovative SQL database PostgreSQL. In 2013, they launched Amazon Redshift as an enterprise cloud data warehouse solution.
Amazon Redshift is one of the leading data warehouse solutions thanks to AWS in the public cloud landscape. On the other hand, Amazon Redshift is not moving as fast as its competitors (such as BigQuery, Snowflake) due to its massive reliance on PostgreSQL.
In terms of popularity, Amazon Redshift lags behind other public cloud databases on this list, as shown below:
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Amazon Redshift is not the most advanced data warehouse solution on the market and has been following BigQuery and Snowflake in recent years. The engine’s traction has been reduced. As shown by the DB-Engines trend:
Google BigQuery has revolutionized the landscape of data warehousing and most advanced data warehouse solutions. Amazon Redshift is another popular data warehouse solution built on PostgreSQL servers.
Although relatively new, Azure Cosmos DB is a very promising database and the top choice for mainstream databases.
Many other public cloud databases fail to make this favorite, among them Google Spanner and Amazon Aurora are promising in the distributed SQL database landscape.
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If you are already in the public cloud or planning to move to the public cloud. You should also consider public cloud databases. Public cloud databases will continue to exist. and will present a managed database in various future scenarios.
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Lead Solution Architect | AWS/AZURE/GCP Architects Certified | Full Stack | Cloud | Big Data | Follow me on Twitter: https://twitter.com/KamaruzzMdIgnition Servers can be hosted in the cloud. Inductive Automation does not provide cloud services. But there are many great providers such as Amazon EC2 or Windows Azure. The server can connect to the PLC remotely or to the customer site via Round Robin Poll, Cell Tower, Satellite, or a secure VPN. The client connects to the Ignition server via Internet The liberal use of Ignition’s security features protects each customer from accessing another customer’s project or data.
In this example We will see the standard architecture. But with the ignition server and the database running on the cloud server. Note that the database and ignition are on different cloud servers. This is because cloud providers typically offer specialized services explicitly designed for hosting SQL databases, including general-purpose services such as running Ignition. Install Ignition Edge locally.
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