Best Relational Database in the UK - Page 3

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together.

Infobright DB is a high-performance enterprise database leveraging a columnar storage engine to enable business analysts to dissect data efficiently and more quickly obtain reports. InfoBright DB can be deployed on-premise or in the cloud. Store & analyze big data for interactive business intelligence and complex queries. Improve query performance, reduce storage cost and increase overall efficiency in business analytics and reporting. Easily store up to several hundred TB of data — traditionally not achievable with conventional databases. Run big data applications and eliminate indexing and partitioning — with zero administrative overhead. With the volumes of machine data exploding, IgniteTech’s Infobright DB is specifically designed to achieve high performance for large volumes of machine-generated data. Manage a complex ad hoc analytic environments without the database administration required by other products.

Achieve superior, cost-effective database performance with maximum flexibility using CA's proven, Web-enabled, high-performance mainframe relational database management system. Rock-solid database with reliable, scalable, secure, high-performance and cost-effective database management. Let's you more easily participate in mobile-to-mainframe initiatives, cloud, web, and analytics using open capabilities. Highly scalable to handle ever-increasing business demands, designed for efficiency and to help reduce costs. IDMS users have the ability to quickly and easily access data in order to leverage solutions that analyze system issues, automate processes and alerts, and create intelligent recommendations for tuning. Next-gen users have the ability to execute and automate IDMS administration using common tools and scripting languages. Let’s take a journey in partnership to delve into your project needs.

Altibase is an enterprise-grade, high-performance and relational open source database. A single database that delivers high-intensity data processing through an in-memory database portion and large storage capacity through an on-disk database portion. 10 times faster than conventional on-disk databases. Clients have consistently chosen Altibase over Oracle, IBM, Microsoft, and others. Altibase has replaced many traditional on-disk databases in various industries that require real time solutions since 1999. Altibase now has over 650 global enterprise clients including 8 Fortune Global 500 companies with thousands of mission-critical deployments worldwide. Product maturity rich with function and feature. Altibase is open source which includes its cutting-edge scale-out technology, sharding. No license costs with flexible and competitive subscription fees. 20 years’ accumulated know-how of dealing with over 6,000 mission-critical use cases.

SAP® MaxDB™ is the database management system developed and supported by SAP SE. SAP MaxDB™ is SAP's own database. It is specifically designed to provide lower total cost of ownership (TCO) for SAP applications. SAP solutions use SAP MaxDB to store both application logic and business data. The database is a central component of any SAP solution installation and provides the basis for its reliability. Information about creating and configuring a database, monitoring, backing up and recovering data, exporting and importing data, managing users, analyzing database performance, using SQL optimizer, searching for errors, developing database applications and further activities. Tools integrated in the Computing Centre Management System (CCMS) for analyzing a SAP MaxDB database, scheduling actions and monitoring the database functions and alerts. Command line tool for database administration.

TIBCO ComputeDB™ is a memory optimized database based on Apache Spark. It delivers very high throughput, low latency, and high concurrency for unified analytic workloads that may combine streaming, interactive analytics and artificial intelligence in a single, easy to manage distributed cluste

A database clustering system for horizontal scaling of MySQL. Vitess combines many important MySQL features with the scalability of a NoSQL database. Its built-in sharding features let you grow your database without adding sharding logic to your application. Vitess automatically rewrites queries that hurt database performance. It also uses caching mechanisms to mediate queries and prevent duplicate queries from simultaneously reaching your database. Vitess automatically handles functions like master failovers and backups. It uses a lock server to track and administer servers, letting your application be blissfully ignorant of database topology. Vitess eliminates the high-memory overhead of MySQL connections. Vitess servers easily handle thousands of connections at once. MySQL doesn’t natively support sharding, but you will likely need it as your database grows.

Distributed Relational Database Service (DRDS) is a lightweight, flexible, stable, and efficient middleware product developed by Alibaba Cloud. DRDS focuses on expanding standalone relational databases, and has been tested by core transaction links in Tmall, such as during the Singles’ Day Shopping Festival. DRDS has been used for ten years and is a trusted database service provider. Supports cluster-based data read and write and data storage. DRDS operates on multiple standalone servers, and performance is not affected by the number of user connections. Supports upgraded and downgraded data configurations, and the visualized scale-up and scale-out of data storage. Provides read and write splitting to linearly improve the reading performance. Supports multiple data splitting methods based on data types, such as parallel data splitting. Focuses on the primary shards of the database and supports parallel query execution.

Ultrafast, scalable, embeddable SQL database with commercial-grade data security, disaster recovery, and change synchronization. Cross-platform, zero-install, embedded database as a direct-access library. Cross-platform, zero-install, embedded database with database-level and column-level AES and DES encryption. Concurrent applications/client access to the database on Windows with database-level and column-level AES and DES encryption. Ultrafast, scalable, SQL server database for Windows and Linux with commercial-grade data security, disaster recovery and change synchronization. Attacks on databases and loss of data can be costly and lead to loss of customers’ trust (and business), regulatory action, and heavy fines. InterBase provides over-the-wire and at-rest encryption, separate security login, and role-based user security. InterBase maintains full on-disk encryption while adding negligible overhead to database speed and performance.

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.

Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional.

RelationalAI is a next-generation database system for intelligent data applications based on relational knowledge graphs. Data-centric application design brings data and logic together into composable models. Intelligent data applications understand and make use of each relation that exists in a model. relational provides a knowledge graph system to express knowledge as executable models. These models can be easily extended through declarative, human-readable programs. RelationalAI’s expressive, declarative language leads to a 10-100x reduction in code. Applications are developed faster, with superior quality by bringing non-technical domain experts into the creation process and by automating away complex programming tasks. Take advantage of the extensible graph data model as the foundation of data-centric architecture. Integrate models to discover new relationships and break down barriers between applications.

Apache Derby, an Apache DB subproject, is an open source relational database implemented entirely in Java and available under the Apache License, Version 2.0. Derby has a small footprint - about 3.5 megabytes for the base engine and embedded JDBC driver. Derby provides an embedded JDBC driver that lets you embed Derby in any Java-based solution. Derby also supports the more familiar client/server mode with the Derby Network Client JDBC driver and Derby Network Server.

solidDB is known worldwide for delivering data with extreme speed. There are millions of deployments of solidDB in telecommunications networks, enterprise applications, and embedded software & systems. Market leaders such as Cisco, HP, Alcatel, Nokia and Siemens rely on it for their mission-critical applications. By keeping critical data in memory, rather than on disk, solidDB can perform significantly faster than conventional databases. It helps applications achieve throughput of hundreds of thousands to millions of transactions per second with response times measured in microseconds. Beyond game-changing performance, solidDB also provides built-in data availability features that help sustain uptime, prevent data loss and accelerate recovery. Additionally, solidDB supports administrators with the flexibility to tailor the software to precise application needs and features designed to simplify deployment and administration, helping drive down the total cost of ownership (TCO).

All computer applications have to manage a certain number of external tables: parameters, error messages, currency rates, etc. The SPITAB software was designed to allow the manipulation and management of relational tables, marketed in 1980, it is very successful in France and abroad. The experience acquired with several hundred installations has enabled the improvements of the current version; richer, more reliable, and more efficient. SPITAB client-server allows mainframe tables to be managed from client applications running under Windows (SPITAB user interface or program using the SPITAB client API). SPITAB allows you to consult and update your SPITAB tables through your web browser (Microsoft Internet Explorer, Mozilla Firefox, etc.). The SPITAB table manager offers basic mainframe functions in the form of real-time screens or of utilities. Centralize the data contained in the mainframe tables while managing them in client applications running under Windows.

Empress Embedded Database engine is the heartbeat of EMPRESS RDBMS, a relational database management system specializing in embedded database technology – from car navigation systems to mission critical military command and control, from Internet routers to complex medical systems, EMPRESS beats steadily, 24/7 at the core of embedded systems applications everywhere. Empress kernel level mr API is a unique feature of Empress that gives users access to the Embedded Database kernel libraries. This Empress API provides the fastest means of accessing Empress databases. MR Routines give the developer maximum control over time and space in developing real-time embedded database applications. Empress ODBC and JDBC APIs applications to access Empress databases in both standalone and client/server mode. Empress ODBC and JDBC APIs enable many 3rd party ODBC and JDBC capable software packages to access a local Empress database or via Empress Connectivity Server.

Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.

Fujitsu Enterprise Postgres is an exceptionally reliable and robust relational database, created for organizations that require strong query performance and high availability. It is based on the world-renowned open-source system — PostgreSQL, with additional enterprise-grade features for enhanced security and better performance. Fujitsu Enterprise Postgres is installed and operated by Fujitsu’s database experts who can also assist with the migration of data from your existing database. Based on PostgreSQL, FEP is highly compatible with other systems and applications. The simple, clean graphic user interface improves the experience for DBAs executing core database functions, such as running queries, scanning, and back-up, making your data and reporting more accessible.