EDGE DATA MANAGEMENT FOR IOT AND MOBILE
Modernize your Edge Application
Data Processing and Analytics
Standardize on a single data management solution across the Edge and to the Cloud
- How many different file systems, historians, and databases are in use across your OT environments, product lines or integration practices?
- Are you expecting increases in the size and number of data streams you collect and analyze, additional data types fused, and more data processing and advanced analytics including AI/ML at the edge?
- Are you using different databases for time-series vs. JSON vs. BLOB vs. traditional data sets?
Want a simple answer to all this complexity?
Actian Zen: Zero-DBA, Embeddable, Nano-footprint Database
A single secure modular data management solution across the entire Edge
Single, secure, scalable architecture supports concurrent ready and write, NoSQL and SQL across all popular embedded environments
Faster than leading purpose-built DBs at time-series, JSON-based or BLOB document store, and orders of magnitude faster than SQLite
Provides AES 256-bit Encryption for data at rest and transports that data without ETL between devices, gateways, branches and cloud
Same architecture handles embedding in a single device, publishing and subscription to and from thousands of devices per upstream node, dedicated client-server on-premises or virtualized in the cloud
Avoid ETL between devices, gateways, branc and cloud environments — Improve speed, integration cost, remove security vulnerabilities
Featured On-Demand Webinar (Jan 21st, 2020):
The Future of Edge Data Management
Plurilogic extends Pluriportail with campus-wide student and asset tracking using Actian Zen Edge and RF-ID
Tracking attendance and assets using RF-IF technology and embedded database systems on K-12 and higher education campuses
“With Actian Zen data management products, we’ve been able to extend our integrated solutions in the classroom and across campuses to better track and manage students and institutional assets, extending our capabilities to IoT and mobile devices.”
Here are some examples of what our customers can do
Edge data processing and analytics for advanced production methodologies such as digital twinning, sensor grids for smart factories, and smart spaces will require modern edge data management.
Complex capital equipment, ranging from smart cars to passenger airliners and MRIs in hospitals will be instrumented to support offering them as a service, performing predictive maintenance and protecting them from cyber threats.
Intelligent Edge Applications will increasingly provide localized analytics and contextual decision support for seamless interaction across multiple devices, working in connected and disconnected modes