Native Parallel Graph Database Tag

The release continues, “TigerGraph enables organizations to accelerate their time to value to gain maximum insight from massive amounts of interconnected data at lightning speed. With accelerated scale out capability and TigerGraph’s novel MPP implementation, TigerGraph provides the perfect fit for organizations to quickly adapt...

The risk of money laundering spans the entire financial services ecosystem - banks, payment providers and newer cryptocurrencies, such as Bitcoin and Ripple and more. Given how much financial activity occurs every second, everyday, it’s important for banks and financial organizations to develop a robust...

Recently, we have seen the next-phase in the graph database evolution, with technology fulfilling the needs of e-Commerce by providing Deep Link Analytics. This enables customer intelligence in real time, along with powerful relationship analysis. With these real-time capabilities, e-Commerce sites can quickly synthesize and...

Today, enterprises use graph technology as a competitive edge for customer analytics, fraud detection, risk assessment and other complex data challenges. The technology offers the ability to quickly and efficiently explore, discover and predict relationships to reveal critical patterns and insights to support business goals. Read the full article here....

TigerGraph has announced the free developer edition of its graph analytics platform. The platform features enterprise graph massively parallel processing, support for Big Data, ability to write high-performance complex analytics queries, and the ability to continuous load over 100 GB per machine per hour. Read the...

TigerGraph offers the industry’s fastest graph analytics solution and supports GDPR with Real-Time Deep Link Analytics. Data will need to be stored and copied, and it will be need to be noted which applications are using it and for what purpose. TigerGraph can maintain a...