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While graph technology offers clear competitive advantages, these current solutions are not without their limitations. The most critical of which is the inability to support real-time analytics — a sore point given that enterprise data is always growing and becoming more complex. This is because solutions thus far have been either storage or compute-focused, feature-limited analytics capabilities and are unable to update graphs in real time.
As the world’s first Native Parallel Graph (NPG) database, TigerGraph sets out to solve these challenges. Unlike other technologies, the TigerGraph NPG focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. NPGs represent what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time.
There are so many different databases available for applications and verticals. Make sure you have the right database for optimal performance.