The industry's first distributed analytics platform built for hybrid cloud and edge computing environments
Analytics is at the core of digital transformation. However, the challenges that must be overcome to successfully implement a data analytics strategy continue to escalate due to exponential growth in data volumes and its changing nature.
We’ve developed a centrally managed, scalable, distributed architecture with patented technology that reimagines database design and is always optimised for any type of data and query. The result – near real-time intelligence for even the most demanding use cases.
Sounds complicated? It’s not. The platform is automated, leverages industry standard interfaces and commands and is future proof to evolving data requirements.
Extending Data Analytics to the Cloud ...and Beyond
Distribute analytics across geographies by creating a virtual edge perimeter with an arbitrary shape and depth. New nodes can be added and removed with ease as requirements change. Perform queries on individual nodes, groups, or in aggregate.
Any combination of private and public cloud computing resources can be used for nodes. Scale up as needed and there is no need to lock data into a single provider or region.
Use commodity hardware for nodes when data must reside even closer to the source. Decoupling of storage and processing allows for minimal footprint without sacrificing scale for data growth and analysis.
Simple to Use and Secure for Sensitive data
Cloud-based and on-premise portal access, with support for two factor authentication, serves as the central point for command, control and query.
The platform runs autonomously. There is no need to design, tune or optimize for performance.
Software is deployed from a central location and data is automatically replicated and synchronized. Data can be automatically aged without any intervention.
The platform is inherently secure. Encryption is applied to all in-flight and at-rest data. All internal communications within the platform are authenticated. Direct access to data from any node is prohibited.
The Ease and Familiarity of SQL, without Limitation
Data management and access is performed using full-featured, standard SQL commands. Customers realize immediate value without having to develop specialized expertise plus easy integration with BI, machine learning and DevOps tools.
Similarities with SQL stop here. We’ve developed a patented, scalable architecture that pre-optimizes data for the fastest response to all query types and formats – supporting both structured and semi-structured data.
The architecture allows for highly distributed data, network speed loading, fast response to any query type, across any geography.
Complex Event Processing for Edge & Fog Computing
Processing data at the edge has additional advantages. Data can be ingested at network speed with complex event processing functions that take action in near real-time.
Event processing functions available include pre-aggregation, matching against black lists, detecting anomalous conditions and identifying temporal patterns.
Data warehouses such as Hadoop and AWS Redshift can be complemented by adding an interoperable fog computing layer at the edge and by applying data reduction techniques to lower overall cost of ownership.