CompanyCam
CompanyCam is a photo-based solution created specifically for contractors. Users can take unlimited photos—which are location and time stamped, sent to the cloud, and stored securely. Every photo is organized by project and instantly available to your team, allowing you to see what’s going on anytime, anywhere.
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RaimaDB
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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storagement
The ideal solution for warehouse management and intralogistics that combines cost-effectiveness, high efficiency, and adaptability for the future. Designed for complex and customized storage and transportation operations, it allows for straightforward and timely oversight of all activities, ensures continuous inventory with reliable management and transparency, and is fully customizable and scalable across various industries. Additionally, it facilitates efficient and secure data exchange (EDI) with other systems and includes an integrated shipping system compatible with numerous transport service providers available today. Furthermore, its implementation is quick and straightforward, meaning that the storage capabilities expand in tandem with your business, client needs, and evolving demands. This storagement-based WebLVS embodies all these qualities and serves as a comprehensive solution for your warehouse logistics, covering everything from receiving goods to shipping them out. In short, the storagement system is a warehouse management and information system (WMS) that caters to companies engaged in advanced warehousing across multiple sectors, including industry and trade. Thus, it not only streamlines operations but also supports the growth and success of your business.
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Dremio
Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.
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