Leading edge data management for IoT and mobile
Actian makes data easy. Simplify how you connect, manage, and analyze your data.
Standardize on a single
- How many different file systems, historians, and databases are operational across your organization?
- Are you seeing an increase in the size and number of data streams you collect and analyze, data types fused, and data. processing and advanced analytics, including AI/ML, at the edge?
- Are you using different databases for time series vs. JSON vs. BLOB vs. relational data?
Want a simple answer to all this complexity?
Zen: zero-DBA, embeddable, nano-footprint database
A single secure modular data management solution across the entire edge.
Single, secure, scalable architecture supports concurrent read and write, NoSQL and SQL across all popular embedded environments.
Faster than leading purpose-built databases at time series, JSON-based and document stores, 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.
The 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, branch, and cloud environments — Improve speed, integration cost, and remove security vulnerabilities.
The future of edge data management
Watch on-demand webinar on how you can modernize on a single simple, scalable, and secure architecture that is performant and eliminated ETL between devices, gateways, branch servers, and the Cloud.
Success stories are made
Here are some examples of what our customers can do:
Edge data processing
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.