TigerGraph’s native parallel graph architecture and real-time deep link analytics aim to provide the following advantages: Faster data loading to build graphs quickly; ...

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

TigerGraph, a recent arrival, is a “real-time native parallel graph database.” TigerGraph is available for deployment in the cloud or on-premises, it scales both up and out, ...

NEW PRODUCT ANALYSIS: Unlike other graph databases that delve two to three levels deep into the connected data, TigerGraph's pattern analytics is tuned to be efficient and tractable with the ...

TigerGraph today made announcements including its emergence from stealth, securing of $31M in Series A funding, general availability of TigerGraph -- the world's first and only native parallel ...

Americans spent $3.65 trillion on healthcare in 2018, federal actuaries estimate. That’s an increase of 4.4% over 2017, and it is projected to rise 5.5% per year for the next 10 years until 2027 ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most distributed and parallel graph algorithms in the MPC model are designed for static ...

The US Defense Advanced Research Projects Agency, the research and development arm of the Department of Defense, explores just such cutting edge questions, and has been looking into creating a ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for ...

Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?