Support for IoT + edge computing in collaboration!
"SALTYSTER" is a solution that achieves the reduction of load and costs for IoT systems in general. It utilizes a high-speed database near IoT devices such as terminals and sensors (on the edge side) to perform primary data analysis (analytics) processing and data cleansing. Additionally, it addresses challenges in communication efficiency and responsiveness, enabling the reduction of load and costs. 【Features】 ■ Implementation of a unique database (KVS type) on the edge side ■ High-speed data retrieval enabled by the unique database ■ Retains high-speed data transmission capabilities without compromising real-time performance ■ Significant reduction in communication costs ■ Ring buffer functionality implemented in the edge-side database, etc. *For more details, please refer to the catalog or feel free to contact us.
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basic information
**Database Specification Sheet (Excerpt)** ■ Footprint: 50–250KB *Depends on OS environment and implementation environment* ■ Implementation Format: Library Embedded ■ Data Model: KeyValueStore Type ■ Maximum Database Size: OS Dependent ■ Maximum Number of Tables: 256 ■ VALUE Data Type: Data type is not considered ■ Maximum Number of Records: Unlimited or Ring Buffer Function (Count Specified / Size Specified) ■ Character Encoding: UTF-8/16, EUC, S-JIS ■ Endianness: Supports Little/Big ■ Storage: File, In-Memory, Other (Direct IO to Storage) *For more details, please refer to the catalog or feel free to contact us.*
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We offer the embedded database engine "SpeeDBee," which is optimal for various data management models such as relational models, KVS models, and time-series models. The latest time-series model features aggregation capabilities that handle data with different sampling rates on the same time axis, real-time analysis functions that perform basic statistics/FFT analysis in units of a fixed number of records while ingesting data, persistence functions that periodically save data to storage, and support for OPC UA for integration with higher-level systems, as well as replication. Additionally, we provide middleware "SALTYSTER," which implements the above database engine and supports IoT and edge computing. This solution addresses various issues that become bottlenecks during IoT implementation, such as packet communication costs, cloud storage constraints, high-speed big data processing, and development productivity. We have numerous successful adoptions among manufacturers developing and producing FA equipment, measuring instruments, home appliances, network devices, medical equipment, and machine tools, as well as system development companies (Sier). Our company also has extensive experience in system development ranging from embedded systems to web, mobile, and AI analysis. Please contact us for consulting on data management and system development.
![[IoT Implementation Case] Plant Cultivation Data Management System](https://image.mono.ipros.com/public/product/image/68a/2000756604/IPROS14179124981975189323.png?w=280&h=280)
