Example Use Cases
Security & Surveillance
monitoring communications data derived from location aware devices, cameras and
sensors need to be able to consume data at network speed and keep the most
granular detail for months or years while being highly responsive to ad hoc and
forensic type queries.
Exhaustive and lengthy online retention of all granular communications activity is achieved at petabyte scale. There is no need need to ship sensitive data to a central location, respecting the privacy of individuals not part of an investigation.
Web & Enterprise Security
A complete history of all traffic can be retained for governance and investigation of anomalous activity. Obtaining in-depth understanding is necessary for detecting suspicious behavior in near real-time but also to perform reconnaissance on activities that happened in the past.CONTACT US
Internet of Things
The Internet of Things (IoT) is leading to ever expanding volumes of data. It is anticipated that by the end of this decade, there will be more than 20 billion connected machines and sensors generating in excess of 600 zettabytes of new data annually. The volume of data is so large and the population of devices so distributed that latency and bandwidth limitations make it impractical to ship all of the device data.
Industrial & Consumer Segments
Unlike “basic” edge computing solutions embedded within a device
or nearby IoT gateway, our architecture brings the power of distributed big
data analytics, complex event processing and machine learning to the edge. Deep learning on newly generated and
historical data can be done together without having to reduce data and ship to
a warehouse. New insights are unlocked instantly through analytics performed not only on a single edge, but also by accessing
and analyzing multiple or all edges all at once.
Digital transformation is realized across all B2B and B2C industries through new levels of operational efficiency, cost savings, business process automation and improved customer experience.
Communication Service Providers
The ability for communication service providers (CSP's) to monetize their network relies on a deep understanding of each subscriber’s content consumption and data usage.
We’ve developed a turnkey subscriber analytics application for the real-time collection, correlation (subscriber, domain, application) and storage of network speed data at the edge. The architecture satisfies even the most demanding performance and scale requirements.
Operators gain a deep understanding of each subscriber with granular level details of fixed-line and OTT content consumption so they can offer targeted promotions and personalized offers to increase revenue. Seamless integration with portals ensure customers have up-to-date visibility of their data usage while operators have confidence in developing tiered data plans which charge on usage, zero-rate and overage models.
Distributed Data Warehouse
We’ve developed a new approach to the data warehouse that builds
on its strengths yet overcomes many of the constraints that exist with today’s
solutions. By distributing data across geographies and federating as though
all the data as though was in a single location, the latency, cost and data
privacy issues associated with moving data to a centralized warehouse is
Enterprise, Retail, Financial, SaaS
Data can be stored, processed and analyzed at the edge (e.g. point-of-sale,
bank, factory, hospital, office), in the cloud, or on-premise – or any
combination thereof. Insights from customers,
partners, suppliers and machines are accessible in real-time on a global scale.
Any cloud provider or hardware can be used while leveraging a massively
scalable and high-performance SQL database which excels in all deployment models
and provides fast, consistent responses to all query types.