Relational databases store and manage data in a traditional table format, with each piece of data organized into a row and a column. Columns hold the data of a single type or field, like first name, order number, or the image link of a product logo. Rows create the relationship between these data points; for example, rows can associate a first name to a last name and then to a user name, email address, and customer ID. Businesses use relational databases databases to maintain the data from their applications and ensure they always have access to critical customer information, product data, social data, and financial particulars like purchases, fulfillment, revenue, and expenses. These systems can range from desktop applications that create a small database on your machine to large enterprise-grade data stores. Almost all utilize a form of SQL as their query language, and most adhere to the ACID set of properties to ensure reliable transactions (atomicity, consistency, isolation, and durability). Relational databases are generally chosen due to their simplicity in comparison to NoSQL database tools, such as object-orientated database tools, document database tools, and graph database tools. Those looking for a relational database solution with little budget also have options with free database software.
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SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.
About IBM Db2 IBM believes in unlocking the potential of your data, not throttling it. We hold our databases to a higher standard, making it easy to deploy your data wherever it's needed, fluidly adapting to your changing needs and integrating with multiple platforms, languages and workloads. IBM Db2 is supported across Linux, Unix, and Windows operating systems.
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.
Harness data with broad functionality and unlimited scalability. Informix is a single platform that can power OLTP and OLAP workloads and successfully meet service-level agreements (SLAs) for each. Optimize business decisions Perform analytics close to data sources to enhance local decision making. Access business intelligence faster with enhanced integration with various tools and applications. Eliminate downtime Ensure always-on operations across your grid environment. Upgrade, maintain and configure the grid with no downtime. Improve development agility Support both structured and unstructured data with a hybrid database system for enhanced flexibility and easier development. IBM Informix is available on-premise and on the IBM Cloud.
SAP HANA, express edition is a streamlined version of SAP HANA in-memory platform, that can be installed on personal computers or in the cloud and is free of charge when you use up to 32GB of memory. As all other editions of SAP HANA, the express edition implements a cutting-edge in-memory platform that combines an ACID-compliant database with high speed analytics, application services, and flexible data acquisition tools. In this way, you can build next-generation data-driven applications that exploit data from the digital highway easily and fast. Your application can also leverage advanced data processing capabilities – such as text, spatial, and predictive analytics – to deliver insights from all types of data at unprecedented speed, offering an enticing, personalized experiences across any device.
MariaDB creates open source database solutions to fulfill today's needs and tomorrow's possibilities by combining engineering leadership and community innovation on a global scale — and without sacrificing SQL or the performance, reliability and security you've come to expect. MariaDB reaches 60 million globally through major Linux distributions like Red Hat and SUSE, as a default database, and through cloud partners like Amazon Web Services, Microsoft Azure and Alibaba Cloud. Today, enterprises are making a break from aging, legacy databases in favor of MariaDB for its modern, extensible architecture. MariaDB can be used for everything from OLTP to analytics, and can be customized to a variety of use cases.
Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.
The Vertica Analytics Platform is purpose built from the very first line of code for Big Data use cases and is trusted by thousands of leading data-driven enterprises around the world, including AT&T, Etsy, Twitter, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Its design features include: • Column-oriented storage organization, which increases performance of queries. • Standard SQL interface with advanced analytics capabilities built-in, such as time series, pattern matching, event series joins, machine learning and geospatial. • Compression, which reduces storage costs and I/O bandwidth. High compression is possible because columns of homogeneous datatype are stored together and because updates to the main store are batched. • Shared nothing architecture, which reduces system contention for shared resources and allows gradual degradation of performance in the face of hardware failure. • Easy to use and maintain through automated data replication, server recovery, query optimization, and storage optimization. • Support for standard programming interfaces ODBC, JDBC, ADO.NET, and OLEDB. • Integration to Hadoop with the capability to perform analytics on ORC and Parquet files directly.
Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL BETA and MySQL databases in the cloud. Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
With SAP® Adaptive Server® Enterprise (SAP ASE), you can handle massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. Drive value with a faster, more efficient transactional system that is designed to meet the demands of the digital economy.
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
MemSQL is The No Limits Database™, powering modern applications and analytical systems with a cloud-native, massively scalable architecture for maximum ingest and query performance with the highest concurrency. MemSQL envisions a world where every business can make decisions in real time and every experience is optimized through data. Global enterprises use the MemSQL distributed database to easily ingest, process, analyze, and act on data in order to thrive in today’s insight-driven economy. MemSQL is optimized to run on any public cloud or on-premises with commodity hardware. Headquartered in San Francisco, CA with offices in Seattle, WA and Portland OR, MemSQL has raised $110M from top investors including GV, Accel Partners, and Khosla Ventures, among others. MemSQL is trusted by customers including Uber, Akamai, Dell EMC, Samsung, Comcast, Kellogg, and more. If you want to work at a company that celebrates diversity, innovation, leadership, and creativity every day, check out our openings on our Careers page - https://msql.co/2IiV84M.
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Active Query Builder is a component for software developers to give end-users without any experience in SQL language the ability to create SQL queries via the intuitive drag'n'drop interface. Same time it allows experienced users to analyze their queries visually by parsing them and building the visual diagram. Active Query Builder substitutes tedious typing with natural point-and-click actions, helps to avoid common pitfalls, enables preview the result sub-query data to understand and debug complex SQL queries.
DRDS is primarily used for large-scale online data operations to operate, maintain and manage distributed databases throughout their entire lifecycle. Due to is compartmentalized structure, DRDS provides an efficient way to perform operations to meet the demand of the online services for relational databases.