With increasing number of deployed Edge/IoT devices and wide spreading of 5G networks, there lie multiple challenges, such as data security concerns, complexity and cost in operating at geographical scale, and as a result affected application performance.
Lack of open and edge-native data fabric solution limits Kubernetes workload orchestration capabilities. We love Kubernetes and Open Source, and we are on the mission to defy data gravity, enable new class of Kubernetes applications – Edge-Native Applications.
Save up to 50x on egress and storage costs with WAN/LAN deduplication and highly efficient decentralized cache
Application controls versioned datasets with Trusted API. Once recorded, data in any given block cannot be altered retroactively
Blazing fast, always local segment I/O. Access data across geographies transparently and via standard storage protocols
WHAT WE OFFER
Decentralized Data Fabric as a Service
Designed for Edge/IoT
Computing and AI/ML
Open-sourced at the core, decentralized data fabric for Edge/IoT Computing available for easy integration with Kubernetes applications in a variety of data-intensive use cases.
In modern era of multi-cloud where latency, egress and data storage costs becoming a limiting factors, developers need to find a solution.
An easy to use Kubernetes-Native decentralized data layer service greatly simplifies cross region, multi-cloud, cloud-native app & API development. Kubernetes applications’s PV/PVCs gains performance, mobility, disaster recovery and self-healing capabilities while significantly cutting cloud cost.
Training autonomous vehicle models uses enormous quantities of data. Developers need to connect external sources of data and yet still track provenance for forensic debugging capabilities.
An easy to use Kubernetes-Native service greatly simplifies operation of decentralized data flow topologies. External data sources versioned at a very high speed and synchronized automatically. Intelligent cache and high-performance design enables AI/ML processing without the need for data copy. Data fabric handles networking partitioning gracefully, which is a key capability for a variety of automotive use cases.
With wider availability of 5G and high precision video cameras, the amount of data that has to be processed at the edge frontiers is growing significantly. It cannot be sent all to the core or cloud and has to be processed where collected. Developers need a solution that will provide consistent decentralized processing of the data at the edge locations.
Decentralized data fabric enables isolated computations with cryptographically strong guarantees of versioned datasets used by AI/ML algorithms. Developers do not need to worry about efficiency of data access, edge frontier I/O is always local and as a result blazingly fast. Data fabric is taking care of decentralized metadata consistency and ensure optimal utilization of network and storage.