TigerGraph is a California-based company that uses interconnected data, artificial intelligence, the Internet of Things, and machine learning to supply enterprises with insights into their businesses. Developers commonly use the technology for graph analytics.
The company has created the Native Parallel Graph (NPG), which creates graphs based off of its clients' own database as well as real-time information. The graphs contain vertices and edges of clusters to show relationships between data points. Multiple enterprises can use the same database while having secure local control of the information. The product uses GSQL query language and it allows the NPG to describe algorithms. The NPG also has a feature called the "GraphStudio" and clients can design the visuals for the graph that is produced based off of the data offered by TigerGraph's technology.
TigerGraph has had four funding rounds and has raised $34.7 million. Its series A funding round was in 2017 and raised $31 million.
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