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.
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.
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.
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.
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs. You can run Db2 on your own server, or as a cloud service using Db2 on Cloud. For a fully managed Db2 cloud service, you can also try IBM dashDB for Transactions (general purpose) or IBM dashDB for Analytics (cloud warehouse).
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.
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 SQL Anywhere solutions provide data management, synchronization, and data exchange technologies that enable developers to rapidly design, build, and deploy database-powered applications for mobile and remote environments where there is limited or no IT support. Database management software keeps data synchronized with thousands of mobile devices or remote offices, so that all business users can access vital data – anytime, anywhere.
HPE Vertica Analytics Platform is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses and other query-intensive applications. This database and platform will drastically improve query performance over traditional relational database systems, provide high-availability, and petabyte scalability on commodity enterprise servers. Its design features include: • Column-oriented storage organization, which increases performance of queries. • Standard SQL interface with many analytics capabilities built-in, such as time series gap filing/interpolation, event-based windowing and sessionization, pattern matching, event series joins, statistical computation (e.g., regression analysis), and geospatial analysis. • 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.
PSQL database files can be defragmented without any engine down time. Reads and writes can operate continuously during defragmentation. The Defragmenter GUI will detect data files in use and can analyze fragmentation levels of files, allowing users to quickly find the biggest problem first.
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.
MemSQL is the leader in real-time databases for transactions and analytics. As a purpose built database for instant access to real-time and historical data, MemSQL uses a familiar SQL interface and a horizontally scalable distributed architecture that runs on commodity hardware or in the cloud. Innovative enterprises use MemSQL to better predict and react to opportunities by extracting previously untapped value in their data to drive new revenue. MemSQL is deployed across hundreds of nodes in high velocity big data environments. Based in San Francisco, MemSQL is a Y Combinator company funded by prominent investors including Accel Partners, Khosla Ventures, First Round Capital and Data Collective.
Postgres Plus Advanced Server is built upon and integrates every release advanced open source database, PostgreSQL. EDB engineers then work continuously with our enterprise users to add features, tools and solutions to meet our customers demanding standards.
Suneido™ is a complete, integrated application platform – a system for developing and deploying applications without the frustrations of integrating multiple different products. Suneido incorporates an object-oriented programming language, client-server relational database software, and application frameworks and components. It includes the integrated development environment (IDE) used to create applications as well as the client and server required to run applications across networks.
Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages of MPP database with the scalability and convenience of Hadoop. It provides users the tools to confidently and successfully interact with petabyte range data sets.
dbForge Data Compare for SQL Server is an SQL comparison tool that is capable of working with big data and using native SQL Server backups as metadata source, it can tune SQL database comparison, quickly analyze data differences in a well-designed user interface and effortlessly synchronize data via a convenient wizard.
dbForge Data Pump for SQL Server is an SSMS add-in for filling SQL databases with external source data and migrating data between systems, it supports 10+ widely used data formats and includes a number of advanced options and templates for recurring scenarios
dbForge Documenter for SQL Server is a tool that automatically generates documentation of an entire SQL Server database with a wide range of options to customize the generated documentation to meet specific requirements.
dbForge Event Profiler for SQL Server is a tool for capturing and analyzing SQL Server events and save data about each event it provides convenient GUI to SQL Trace for inspecting a Database Engine instance, user can audit a production environment to determine which stored procedures are affecting performance by executing too slowly, watch the trace results as the trace runs, events sorting and grouping, start, stop, modify the trace results as necessary, multiple event profiling templates, saving trace results to a file for the future use , clear wizard interface, SQL Server 2016 support and Integration into SSMS 2016.
dbForge Index Manager is a handy SSMS add-in for analyzing the status of SQL indexes and fixing issues with index fragmentation. The tool allows you to quickly collect index fragmentation statistics and detect databases that require maintenance. You can instantly rebuild and reorganize SQL indexes in visual mode or generate SQL script for the future use. dbForge Index Manager for SQL Server will significantly boost SQL Server performance without much effort!
dbForge Schema Compare for SQL Server is a tool for comparing and synchronizing Microsoft SQL Server database schemas using generated SQL script in a well-designed user interface quickly and without errors.
dbForge Source Control for SQL Server is a powerful SSMS add-in for managing SQL Server database changes in source control. The tool can link your databases to all popular source control systems, and delivers smooth and clear workflow in a familiar interface. *SQL Server 2016 support *Product now integrates into SSMS 2016 *Plastic SCM predefined template *Undo Local Changes *Support for version control
An intuitive and convenient GUI for implementing automated unit testing in SQL Server Management Studio. dbForge SQL unit testing tool is based on the open-source tSQLt framework, so SQL developers can now benefit from writing unit tests in regular T-SQL. dbForge Unit Test functionality allows you to develop stable and reliable code that can be properly regression tested at the unit level.
Track and manage the data most important to your team: Contacts, Issues, Bugs, Help Desk Requests, Technology Assets, Sales Opportunities, Products in Development, Sample Requests, Customer Special Orders, Quotations, Proposals, PO Approvals, to name just a few. Your team will love having a single, up-to-date source of information.
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database.
InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to processing a billion equity trades in a day, to managing smart energy grids. Caché is a multi-model (object, relational, key-value) DBMS and application server developed by InterSystems. InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed via SQL, Java, node.js, .NET, C++, Python. DBMS Caché has proven embedded technologies for horizontal scaling (ECP, SLM), High Availability (Mirroring), transaction support and backup. It includes embedded Caché ObjectScript language which is back compatible to mumps and which helps to run applications' business logic close to the data and achieve maximum performance for complex logic operations with data. Caché also provides application server which hosts web apps (CSP), REST, SOAP, web sockets and other types of TCP access for Caché data.
MaxParallel Software for Microsoft SQL Server is a new line of database optimization products for high-velocity transaction processing and real-time analytics by DataCore Software.
MobiDB Database Designer is a general purpose relational database app with multiple user access and synchronization for Windows 8.1/10 and Android. It is able to design database structure and input forms, import CSV, export created databases to PDF or print the entries.
MTH is an online relational database and web-forms builder. You can create as many forms as you need. Link them using Relationships and you'll have web based relational database application. You'll be able to customize it and integrate it into your web site or blog. Using database roles you can restrict access to your database for your co-workers or friends. Create database views, build charts and google maps based on your data.
Raima Database Manager (RDM), is a relational DBMS that runs in almost any computing environment, from mobile phones to embedded computers to UNIX servers to the Cloud. RDM is a fast, small footprint, inexpensive database engine, provided by Raima as an SDK for Windows, Linux or UNIX development environments. For embedded and mobile targets, RDM’s Windows or Linux SDKs will perform cross-platform development.
SimbaProvider OLAP SDK is a Software Development Toolkit (SDK) for creating OLE DB for OLAP (ODBO) and XML for Analysis (XMLA) connectivity to multi-dimensional and relational data sources and to do more with that data than you can with SQL alone.
Utility to Import Multiple Domino or Lotus Notes NSF File to O365 Mailboxes
XLeratorDB is an In-Database Analytics calculation engine that provides a rich set of advanced high-speed financial, statistical and mathematical analytic functions designed to integrate seamlessly into database-driven applications. XLeratorDB Suite includes the following XLeratorDB function packages: financial, statistics, math, engineering, and strings - which include over 800 functions that plug into SQL Server transforming your database from a simple data processing engine into a world-class data analytics engine.