TOP software Databases
Microsoft SQL Server is Microsoft's classic relational database management system (RDBMS) and one of the best-selling databases on the market.
The database runs in server mode, but can only be installed on Windows servers, providing data and structure access and manipulation services, which can be used from client applications or tools such as SQL Server Management Studio, SQLCmd, or third-party tools that can use connectors such as ODBC, ADO.NET or OLE-DB to execute TSQL commands on SQL Server...
The Hadoop software library is a framework that enables distributed processing of large datasets using clusters of computers or servers, using simple programming models.
Hadoop is designed to scale easily from single server systems to thousands of machines...
Spark is an open source framework from Apache Software Foundation for distributed processing of large amounts of data on clusters of computers, designed for use in Big Data environments, and created to enhance the capabilities of its predecessor MapReduce.
Spark inherits the scalability and fault tolerance capabilities of MapReduce, but far surpasses it in terms of processing speed, ease of use and analytical capabilities...
Amazon Relational Database Service allows for configuring, using, and scaling a relational database in the cloud.
The service automates administrative tasks such as hardware provisioning, database configuration, patch deployment, and backup creation.
Oracle Database delivers performance, scalability, reliability and security in both on-premise and cloud deployments.
Oracle Database 19c is the current long-term release, which also provides the highest level of release stability and the longest time frame for support and bug fixes.
SAP HANA is a high-performance in-memory database that accelerates real-time data-driven decisions and actions and supports all workloads, with the broadest advanced analytics on multi-model data, on-premise and in the cloud.
SAP HANA On Premise
The SAP HANA on premise installation supports transactional and analytical processing for volumes:
Snowflake is a fully managed cloud service, easy to use, but with a huge capacity for concurrent workloads.
Snowflake provides capabilities for data warehousing, data lakes, data engineering, data science, data application development and securely shared data exchange and consumption.
Hive is a software that works on Hadoop clusters creating a layer that allows the developer to abstract from the management of HDFS and MapReduce files through SQL-based data query operations, with the HiveQL language...