Cloud migration remains a priority for many industries and enterprises. A big driver of public cloud adoption is cost reduction, followed by more immediate utilization. Public cloud providers have been highly competitive in their service offerings when it comes to building the cloud database infrastructure businesses need to deploy and run applications. One area of the market that is particularly popular is their cloud database offerings.
Essentially, enterprises are migrating their traditional database management systems to cloud infrastructure, or starting from scratch with new cloud-native database systems. Vendors in this market offer a wide range of features and services. Some of the most important include:
Ali Cloud
Alibaba Cloud provides a full range of cloud products and services including database, network, security, and analysis. These services include elastic computing, data storage, relational databases, big data processing, and content delivery networks (CDNs). It is the largest cloud computing company in China and has been expanding its business to Europe and the Americas. It provides cloud databases that support OLTP, NoSQL, OLAP, and more.
Amazon Web Services
Amazon Web Services is the elephant in the room. Amazon's cloud services revenue typically grows at double-digit rates year-over-year (typically 20% to 35%). AWS offers a wide range of computing services. These include fully managed database services of all types. In total, AWS offers more than 15 specialized engines to support different data models, including relational, key-value, in-memory, graph, time-series database services, and more. Additionally, the company touts its high availability and security. It achieves these goals by supporting multi-region, multi-master replication and providing comprehensive data oversight with multiple levels of security.
big query
BigQuery is a fully managed enterprise data warehouse on Google Cloud that helps manage and analyze data with built-in capabilities such as machine learning, geospatial analysis, and business intelligence. It provides great flexibility by separating the computing engine that analyzes data from the storage. Companies can store and analyze data in BigQuery, or use BigQuery to assess where data resides. Developers and data scientists can transform and manage data using programming-savvy client libraries, including Python, Java, JavaScript, and Go, as well as BigQuery's REST and RPC APIs. ODBC and JDBC drivers provide interaction with existing applications, including third-party tools and utilities.
