Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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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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Zilliz Cloud
Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements.
Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more.
Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
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DBF Manager
This cutting-edge DBF data management tool caters to all database users, offering an array of functionalities typically reserved for high-end applications. The integrated dbf editor within DBF Manager ensures that users have secure and reliable access to the inner workings of the dBase dbf file format. Packed with an impressive range of advanced features, it includes robust capabilities for modifying data structures. Its sophisticated data editing, conversion, and search-replace functions are meticulously designed to accommodate various data types effectively. Furthermore, DBF Manager comes equipped with a comprehensive suite of tools related to database indexing. For instance, the user-friendly index manager facilitates real-time re-indexing and rebuilding of indexes from an active dbf file, while also supporting a diverse selection of index file types for opening, modification, and viewing. Additionally, the extensive index file manager boasts a feature that allows users to print the structure of the dbf, enhancing the overall usability of the software. This combination of features makes DBF Manager an indispensable asset for any database user seeking efficiency and precision.
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