UnForm is a powerful enterprise document management and process automation solution that seamlessly integrates with any application. Our platform-independent, fully browser-based solutions provide the ability to create, deliver, capture, index, route, and store documents from start to finish so that a transaction’s entire life cycle can be accessed with one easy search. Our data extraction and workflow capabilities enable the automation of data entry-intensive processes.
UnForm.Cloud, a hosting service for UnForm Document Management, is a perfect fit for those who are running cloud-based ERP systems or looking for a solution with no hardware to purchase, manage, or maintain. Implementing UnForm has never been easier. Backed by a proven hosting vendor, Oracle, you have the peace of mind knowing your data is safe and secure with well-managed data centers and cross-region backups, ensuring reliable and continues access to your data when you need it.
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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Hound
Hound serves as a remarkably swift engine for searching source code. Its foundation is derived from an article and accompanying code by Russ Cox, which discusses regular expression matching utilizing a trigram index. The application itself features a static React frontend that communicates with a Go backend. This backend is responsible for maintaining an up-to-date index for every repository and processes searches via a streamlined API. Although Hound has primarily been tested on MacOS and CentOS, it is designed to operate on any Unix-like system. While Hound does not officially support Windows, reports indicate that it compiles and functions adequately; however, it is advisable to exclude your data folder from the Windows Search Indexer for optimal performance. Users have expressed enthusiasm for its capabilities, and developers are continually working on enhancing its compatibility across various platforms.
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Kooder
Kooder is an open-source project designed for code search, providing users with the ability to search through code, repositories, and issues across various code hosting platforms such as Gitee, GitLab, and Gitea. It consists of two main components: the gateway and the indexer, with the gateway being seamlessly integrated within the system using default settings. This structure allows for efficient retrieval of code-related information, enhancing the development experience for programmers.
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