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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Epicor Connected Process Control
Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.
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Informatica Data Engineering Streaming
Informatica's AI-driven Data Engineering Streaming empowers data engineers to efficiently ingest, process, and analyze real-time streaming data, offering valuable insights. The advanced serverless deployment feature, coupled with an integrated metering dashboard, significantly reduces administrative burdens. With CLAIRE®-enhanced automation, users can swiftly construct intelligent data pipelines that include features like automatic change data capture (CDC). This platform allows for the ingestion of thousands of databases, millions of files, and various streaming events. It effectively manages databases, files, and streaming data for both real-time data replication and streaming analytics, ensuring a seamless flow of information. Additionally, it aids in the discovery and inventorying of all data assets within an organization, enabling users to intelligently prepare reliable data for sophisticated analytics and AI/ML initiatives. By streamlining these processes, organizations can harness the full potential of their data assets more effectively than ever before.
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BlackLynx Accelerated Analytics
BlackLynx's accelerators offer analytics capabilities exactly where they are required, eliminating the need for specialized expertise. Regardless of the components of your analytics framework, you can harness data-driven insights through robust and user-friendly heterogeneous computing solutions. The integration of BlackStack software with electronic systems significantly enhances processing speeds for sensors utilized across various platforms, including terrestrial, maritime, aerospace, and aerial assets. Our innovative software empowers clients to optimize essential AI/ML algorithms and other computational tasks, specifically targeting real-time sensor data processing, which encompasses signal detection, video analytics, missile tracking, radar operations, thermal imaging, and other object detection functionalities. Additionally, BlackStack software substantially improves the speed of processing for real-time data analytics. We enable our clients to delve into enterprise-level unstructured data, providing the tools necessary to gather, filter, and systematically arrange extensive intelligence or cybersecurity forensic data sets, ultimately transforming how they manage and respond to vast streams of information. This capability allows organizations to make informed decisions that drive efficiency and innovation.
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