Connectivity resilience
Once you have the graph in your mobile device, your analytics do not depend on the cloud.
High-performance, compact, embeddable. Sparksee represents and analyses complex interrelationships between entities, with the security and integrity guarantees enterprise data demands.
Six reasons teams choose an embedded graph store over a clustered one.
Once you have the graph in your mobile device, your analytics do not depend on the cloud.
Enables the creation of privacy preserving apps, where data is stored in the user's device.
Sparksee has a compact data representation and management that reduces the amount of required resources.
Our built-in algorithms accelerate the creation of applications with out-of-the-box tooling.
Sparksee technology is data resilient, so that you don't have to worry about crashes.
Our graph database is fast at computing on your mobile device, and you do not need to wait for a server's response.
Sparksee stores graphs as compact bitmaps, so graph algorithms run fast even on mobile and embedded hardware.
It works out of core and persists data to disk, with disk-level encryption that keeps data private if a device is lost, stolen or sold, and recovery when a database file is corrupted.
A graph database on the device keeps the service running when connectivity is poor or absent, and answers faster when the network is saturated. Moving computation from the cloud to the device can also cut a provider’s cloud costs significantly.
A way of representing graphs that makes the most of each level of the memory hierarchy:
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