Cloud DBaaS is the future of database management for the company

Innovations in cloud-based database management provide organizations with a better option to manage data

With a local database infrastructure and legacy systems that slowly fade; Agile, scalable and cost-effective database management in the cloud is taking over.

This is because organizations now understand that to adopt innovations in the database management system (DBMS) they need to move to the cloud. DBMS on Cloud offers flexible pricing models, without capital expenditures, better operating expenses that take advantage of the pay-per-use model. Therefore, the popularity of the database as a service is increasing.

According to market studies by 2021, the revenue from the cloud database management system (DBMS) will represent 50% of the total revenue from the DBMS market. By 2023, 75% of all databases will be on a cloud platform. These trends will have a great impact on the DBMS provider landscape.

What is the cloud database as a service?

Cloud Database as a service (DBaaS) allows an organization to access, modify and manage corporate data without the need to configure a local infrastructure. The DBMS is housed in a cloud that frees operations and maintenance personnel from the routine tasks necessary to run the company's database. When a database cluster is in the cloud, the cloud provider takes care of everything related to the infrastructure. This allows the company to concentrate better on its real business objectives. Cloud DBaaS is gaining popularity because large companies can reduce infrastructure and labor costs and spend on adding value to their main products and services.



Industrial segments that opt ​​for DBaaS in the cloud

Any large company that needs data synchronization in geographic locations, e-commerce companies that try to manage real-time transactions, central business systems, mobile application developers, data storage, data migrations are some. So are the health, banking and financial and IT services companies that choose Cloud DBaaS instead of the traditional database management systems. In addition, non-traditional sectors such as social networking organizations, music stores and online games, e-learning and media organizations are studying cloud-based database management settings, since flexibility and scalability are important. for your business

This is where a cloud service and infrastructure provider like Alibaba Cloud comes into play, offering a simplified set of state-of-the-art database management services and products that are fully managed. In Gartner's Magic Quadrant for Database Management Operating Systems, Alibaba Cloud was named a Challenger facing players like Amazon and Microsoft.

Alibaba Cloud today offers the iconic ApsaraDB suite that offers a range of database options that include MySQL, MariaDB, SQL Server and PostgreSQL relational databases as mentioned. On the nonrelational side (NoSQL), ApsaraDB has Redis, MongoDB, HBase, Cassandra, TSDB (a time series database) and GDB (a graphics database).

When a company works with Alibaba Cloud, high-quality, flexible and scalable DBaaS services and products are guaranteed. It addresses all security needs of the entire database stack, which means that the client does not have to worry about data breach and secure availability.



Key trends that drive the adoption of Cloud DBaaSJ

We see six key trends that will boost the acceptance of Cloud DBaaS in the Indian market.

Shift to the native architecture of the cloud

It is a well known fact that more and more organizations are adopting the cloud infrastructure. Not only are they moving their generic business process applications to the cloud, but also their mission-critical applications and data. According to recent industry research, 75% of all databases will be deployed or migrated to a cloud platform by 2022. This means that organizations need cloud services and solutions that support their native cloud architecture. In fact, the business organization is developing or looking for native cloud applications, as it allows business processes to be more dynamic. This also applies to your database management system.

And this is where the most recent release of Alibaba Cloud, PolarDB and AnalyticDB comes into play. PolarDB is the next generation of RDBMS OLTP database services from Alibaba Cloud. It includes everything a relational database offers and is compatible with common database architectures. The innovation in this product is visible through its database engine (decoupling computing and storage), shared distributed storage, high-speed network using RDMA and an innovative approach to solve common database management problems. data. AnalyticDB is the next generation of the Alibaba Cloud interactive online data storage solution. It also features a native cloud design with decoupling storage and computing, a hybrid row and column storage engine, and a highly optimized MPP query optimization and execution engine. Both PolarDB and AnalyticDB offer high availability by default and provide excellent scalability and elasticity.

Need for high performance computing

As predictive analysis and data take priority in all commercial decision making, Indian organizations are shifting to computing options that provide faster computing, analysis and information. High speed computing is one of the main features of AnalyticDB. It offers high speed performance by optimizing your execution and storage optimization engines. The computing power of AnalyticDB can be extended to more than 1,000 cores and process data from the GB scale to the PB scale. It supports automatic load balancing and allows interactive online queries and complex analyzes on large-scale data.

Flexible, scalable and distributed infrastructure is the need of the hour

Organizations that move to the cloud expect an infrastructure that meets the constantly changing demands. Therefore, a distributed and scalable configuration is always needed. This is true for Indian organizations that seek to control their capital expenditures.

Therefore, PolarDB's storage design makes it perfect. It allows autoscaling according to the use and need of a company. With a capacity of up to 100 TB in a single instance, PolarDB updates the node specifications and scales the read-only nodes in minutes. Its shared distributed storage architecture allows high concurrency and high availability through a parallel raft, which means that it equips the system to handle many requests simultaneously in parallel. In addition, PolarDB has no server, so it only pays for what it uses.

Disaster recovery is an important consideration.

With the large amount of data that flows continuously through a business, most of which are mission critical, it means that dynamic organizations cannot afford downtime. This is especially important if the company is in the banking and financial sector or in an e-commerce business. That is why today, most companies are looking for a stable disaster recovery infrastructure from their cloud service provider.

Both PolarDB and AnalyticDB have two different versions that are compatible with MySQL and PostgreSQL respectively. This helps business organizations reduce adaptation costs. Both PolarDB and AnalyticDB have built-in support for high availability and fast data recovery on the site. They use distributed consensus protocols, such as raft and snapshot technology, to perform extremely fast backups and data recovery. Therefore, disaster recovery is made easy.

Security is paramount for everyone who adopts the cloud

With the confidential data that resides within an organization, the security of that data is very crucial. Data security ensures that companies retain the trust of their customers and the target audience. That is why when they implement a cloud architecture within the organization, the first concern is the security of commercial data that resides in the cloud.

Again, PolarDB and AnalyticDB offer very high data security by providing white lists, VPC network, SSL encryption, SQL auditing, multi-copy data storage and backup recovery. They also support other standard security measures, such as TDE and data encryption at rest. To help users diagnose and solve problems quickly, the Alibaba ApasaraDB platform provides real-time monitoring of the use of instances, slow SQL and various optimization suggestions.

How PolarDB and AnalyticDB are relevant to the Indian market

India is a fast growing market when it comes to e-commerce, e-learning, media, games, mobile applications, fintech, etc. Large companies are also looking for data intelligence and data analysis for better business performance. All this requires solid database systems and highly efficient data storage solutions. Organizations in these segments also need capabilities such as autoscaling, tier storage architecture, disaster recovery, fast backup, secure data access and the ability to handle large data in real time interactively. This is where Alibaba Cloud comes into play with PolarDB, AnalyticDB and other ApasaraDB products and services.

Disclaimer: This article has been produced on behalf of Alibaba by the Mediawire team of Times Internet.

comments