The article is attributed to Dr Feifei Li, President and Principal Investigator of Database Systems, Alibaba Cloud Intelligence
With the on-premises database infrastructure and legacy systems slowly fading; Agile, scalable and cost-effective cloud database management is taking over.
Indeed, organizations now understand that to adopt innovations in database management systems (DBMS), they must migrate to the cloud. Cloud-based DBMS offers flexible pricing models, no capital outlay, better operating expenses by leveraging pay-as-you-go model. Thus, the popularity of the database as a service is increasing.
According to market research by 2021, Cloud Database Management System (DBMS) revenue will account for 50% of total DBMS market revenue. By 2023, 75% of all databases will be on a cloud platform. These trends will have a major impact on the landscape of DBMS vendors.
What is Cloud Database as a Service?
Cloud Database as a service (DBaaS) enables an organization to access, modify, and manage corporate data without the need to configure an on-premises infrastructure. The DBMS is hosted on a cloud which frees the operating and maintenance staff from the routine tasks required to operate the company’s database. When a DB cluster is in the cloud, everything related to infrastructure is handled and managed by the cloud provider. This allows the company to better focus on its real business goals. Cloud DBaaS is growing in popularity because large enterprises are able to reduce infrastructure and labor costs and spend to add value to their core products and services.
Industry segments opting for DBaaS Cloud
Any large business that needs to synchronize data across multiple geographies, e-commerce businesses trying to manage real-time transactions, core business systems, mobile app developers, data storage, migrations from data are just a few. The same goes for companies in the healthcare, banking, finance and IT services industries that choose DBaaS cloud over traditional database management systems. Additionally, non-traditional industries such as social media organizations, online music and game stores, e-learning organizations, and media are considering a cloud-based database management setup because flexibility and scalability are important to their business.
That’s where a cloud infrastructure and service provider like Alibaba Cloud comes in, which offers a streamlined set of fully managed, industry-leading database management products and services. In Gartner’s Magic Quadrant for Operational Database Management Systems, Alibaba Cloud has been named a “Challenger” against players like Amazon and Microsoft.
Alibaba Cloud today offers the iconic ApsaraDB suite which offers a range of database options including MySQL, MariaDB, SQL Server, and PostgreSQL relational databases as mentioned. On the non-relational side (NoSQL), ApsaraDB has Redis, MongoDB, HBase, Cassandra, TSDB (a time series database) and GDB (a graph database).
When a business works with Alibaba Cloud, it is assured of high quality, flexible and scalable DBaaS products and services. It supports all the security needs of the entire database stack, which means the customer no longer has to worry about data breach and secure availability.
Key Trends Driving Cloud DBaaSJ Adoption
We see six key trends that will lead to the acceptance of DBaaS Cloud in the Indian market.
Switch to a cloud native architecture
It is a well-known fact that more and more organizations are adopting cloud infrastructure. They not only move their generic business process applications to the cloud, but also their mission-critical applications and data. According to a recent industry study, 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 will support their Cloud native architecture. In fact, commercial organizations develop or source cloud native applications because it allows business processes to be more dynamic. This also applies to their database management system.
And that’s where the latest launches of Alibaba Cloud, PolarDB and AnalyticDB come in. PolarDB is the next generation of RDBMS OLTP database services from Alibaba Cloud. It includes everything a relational database offers and is compatible with popular database architectures. The innovation of this product is visible through its database engine (decoupling compute and storage), shared distributed storage, high speed networking using RDMA and an innovative approach to solve common basic management problems. of data. AnalyticDB is the next generation of Alibaba Cloud’s online interactive data warehouse solution. It also features a cloud-native design with decoupling of storage and compute, a hybrid row and column storage engine, and a highly optimized MPP query execution and optimization engine. PolarDB and AnalyticDB provide high availability by default and offer excellent scalability and elasticity.
Need for high performance computing
As predictive analytics and data take priority in all business decisions, organizations in India are turning to IT options that offer faster calculations, analysis and information. High-speed computing is one of the essential characteristics of AnalyticDB. It delivers high-speed performance by optimizing its query and storage execution / optimization engines. AnalyticDB’s computational power can be expanded to over 1000 cores and process data from GB scale to PB scale. It supports automatic load balancing and enables interactive online queries and complex analyzes on a large data scale.
A flexible, scalable and distributed infrastructure is the need of the moment
Organizations moving to the cloud expect an infrastructure that will meet ever-changing demands. Thus, a scalable and distributed configuration is always in demand. This is true for Indian organizations looking to control their capital spending.
Thus, PolarDB’s storage design makes it the ideal solution. It allows automatic scaling according to the use and needs of a business. With up to 100TB of capacity in a single instance, PolarDB upgrades node specifications and scales read-only nodes in minutes. Its shared distributed storage architecture enables high concurrency and high availability through a parallel raft, which means it equips the system to handle many requests simultaneously in parallel. Plus, PolarDB is serverless, so you only pay for what you use.
Disaster recovery is a major consideration
With the large amount of data constantly flowing through an organization, most of it critical, this means dynamic organizations cannot afford downtime. This is especially important if the business is in the banking and finance industry or an e-commerce business. That’s why today, most businesses look for a stable disaster recovery infrastructure from their cloud service provider.
PolarDB and AnalyticDB have two different versions which are respectively compatible with MySQL and PostgreSQL. This helps companies reduce adaptation costs. PolarDB and AnalyticDB have built-in support for high availability and support rapid on-premises data recovery. They use distributed consensus protocols such as raft and snapshot technology to perform extremely fast backups and backup restore of data. Thus, disaster recovery is simplified.
Security is paramount for anyone adopting the cloud
With sensitive data residing within an organization, the security of that data is very crucial. Data security ensures that businesses maintain the trust of their customers and target audience. This is why when they deploy a cloud architecture within the organization, the first concern is the security of the business data that resides in the cloud.
Again, PolarDB and AnalyticDB provide very high data security by providing whitelists, VPC network, SSL encryption, SQL audit, multiple copy data storage and backup recovery. They also support other standard security measures such as TDE encryption and data at rest. To help users diagnose and resolve issues quickly, Alibaba ApasaraDB platform provides real-time monitoring of instance usage, slow SQL, and various optimization suggestions.
How PolarDB and AnalyticDB are relevant to the Indian market
India is a fast growing market for e-commerce, e-learning, media, games, mobile apps, financial technology, and more. Large companies are also looking for intelligence and data analytics for better business performance. All of this requires strong database systems and highly efficient data warehouse solutions. Companies in these segments also need features such as autoscaling, tiered storage architecture, disaster recovery, fast backup, secure data access, and the ability to manage the business. Big Data in real time in an interactive way. This is where Alibaba Cloud comes in with its PolarDB, AnalyticDB and other ApasaraDB products and services.