We enable real-time graph analytics
by querying your big data
100 times faster
What is a "Graph" ? data structure that contains a set of connected items
Graphs data storage is more efficient than relational DB
when there is a need to describe and search large scale relationships
By courtesy of Amazon
Graphs’ algorithms are generally sequential with strong data dependency
Machine single thread performance is flat and not expected to change
Scale Out or other SW measures do not improve speed
Graph speed is #1 problem !!!
Domain Specific Computing
We remove the compute bottleneck !
100 times faster graph search
speedup Vs. SW
Cloud & On-Premise
Real Time Applications
Timely detection of fraud in commercial transactions is critical to avoid accumulated financial loss.
An inherent trade-off exists between data volume, search algorithms complexity and time to result when using graph data base.
ArtSim helps to meet the need for fast and accurate detection (reducing false positive & false negative) in real time by harnessing the power of FPGA
Cyber security systems use several graph search algorithms in order to track the paths between relevant nodes (i.e IP addresses, machine ID's etc..) to identify potential hacking from a given particular source or destination
Real-time recommendation engines are key to the success of any online business. To make relevant recommendations in real time requires the ability to correlate product, customer, inventory, supplier, logistics and even social sentiment data. The key technology in enabling real-time recommendations is the graph database
An automated software for fastest Graph search algorithms, designed by ArtSim
Available on standard cloud instances
Designed to speedup the execution of complex search queries
Unique graph implementation on standard FPGA
Cloud or On-premise implementation
Easy integration into customer's application via API
Speed-up application up to 2 orders (depends on algorithm)