Best Relational Database for Windows - Page 2

HEAVY.AI is the pioneer in accelerated analytics. The HEAVY.AI platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and on-premise. HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Expand beyond the limitations of traditional BI and GIS by leveraging the full power of modern GPU and CPU hardware so you can extract decision-quality information from your massive datasets without lag. Unify and explore your largest geospatial and time-series datasets to get the complete picture of the what, when, and where. Combine interactive visual analytics, hardware-accelerated SQL, and an advanced analytics & data science framework to find opportunity and risk hidden in your enterprise when you need to most.

We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework. Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises. The object-oriented world and the relational world are conceptually different. Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming. Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data.

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.

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).

The lightweight, user-friendly, distributed relational database built on SQLite. Fault tolerance and high availability with zero hassle. rqlite is a distributed relational database that combines the simplicity of SQLite with the robustness of a fault-tolerant, highly available system. It's developer-friendly, its operation is straightforward, and it's designed for reliability with minimal complexity. Deploy in seconds, with no complex configurations. Seamlessly integrates with modern cloud infrastructures. Built on SQLite, the world’s most popular database. Supports full-text search, Vector Search, and JSON documents. Access controls and encryption for secure deployments. Rigorous, automated testing ensures high quality. Clustering provides high availability and fault tolerance. Automatic node discovery simplifies clustering.

MariaDB Platform is a complete enterprise open source database solution. It has the versatility to support transactional, analytical and hybrid workloads as well as relational, JSON and hybrid data models. And it has the scalability to grow from standalone databases and data warehouses to fully distributed SQL for executing millions of transactions per second and performing interactive, ad hoc analytics on billions of rows. MariaDB can be deployed on prem on commodity hardware, is available on all major public clouds and through MariaDB SkySQL as a fully managed cloud database. To learn more, visit mariadb.com.

HanDBase is a light and fast relational database manager for mobile devices which offers data entry, searching, sorting, filtering, printing and synchronization across a wide variety of desktop computers, tablets, handheld computing devices and smartphones. With HanDBase you can keep track of almost anything. Create your own custom data based applications in minutes using HanDBase and begin tracking whatever important information you need to be more productive while on the go. HanDBase is available as a separate product for many different devices and Operating Systems. Cross-platform technology makes it possible to seamlessly share database files & records with different types of devices. Forms Designer is available for some versions. Create completely custom interfaces for your records. Multi-user Syncing technology merges two or more users data into a single database / table.

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.

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.