Complete centralized control of everything with automated roll-out across the network.
All changes are performed centrally and are automatically propagated to all servers.
Create edge topologies with arbitrary shape and depth.
Configure new data sources centrally using a library of adapters.
Queries can be performed using standard ANSI SQL and the Edge Intelligence platform supports ODBC and JDBC protocols using the standard drivers.
Distributed Software Installation & Orchestration
Automated software installation with an Ansible environment.
Distributed queries operate in parallel across the network with predicate and analytical push-down to minimize network traffic and reduce query response times.
High availability with automated query distribution and load-balancing based on server availability at the time of the query.
No user or role information disseminated over the network.
Automatic replication, synchronization and selection of available resources. No need to configure master/slave operations or to manage fail-over or recovery operations.
Meta data and universal data is automatically propagated around the network and message data is automatically replicated between edge servers using multi-master synchronization.
Geo Distributed Edge Servers
Distributed Data Input
Universal data can be loaded from files in a variety of formats that include delimited formats (such as CSV and TSV) and fixed width formats.
Messages received from sources, such as gateways & devices, can be parsed and mapped to rows in a table. These messages can arrive in a variety of formats, such as JSON.
Data input at network speed at rates of hundreds of thousands of messages per second per edge server, scaling to millions per second across the system.
Guaranteed delivery with sustained message flow.
Automated, real-time stream processing on all incoming data using SQL syntax.
Distributed Database
Patented efficient and autonomous data store that keeps everything and enables the query of anything.
Fast and predictable response times for any and all queries
Full SQL compliance. Native time series. ACID compliant.
Disk optimized store utilizes high capacity, high-latency disks.
Small memory requirement.
Automatic data aging beyond retention windows.
Fast queries for all current and changing requirements.
Cost effective storage from gigabytes to hundreds of terabytes.
Apache MADlib for distributed machine learning and R model translation to SQL.
Ensures the security of all of the data stored at the edge of the network and the security of any data moved across the network.
Full encryption of any data in flight across the network.
Encryption of all at-rest data at the edge.
Prohibited direct user login at the edge to guard against intrusion and exposure.
