TigerGraph Overview

At the top of this webpage are 3 PDF files outlining test results and reference configurations for Dell PowerEdge servers using both the 3rd Generation Intel Xeon processors and 4th Generation Intel Xeon processors. All testing was conducted in Dell Labs by Intel and Dell Engineers in May and June of 2023.

• TigerGraph DfD ICX – highlights the recommended configurations for Dell PowerEdge servers using 3rd Generation Intel Xeon processors.
• TigerGraph DfD SPR – highlights the recommended configurations for Dell PowerEdge servers using 4th Generation Intel Xeon processors.
• DfD – PowerEdge TigerGraph Test Report – Highlights the results of performance testing on both configurations with comparisons that demonstrate the performance difference between the two platforms.

Solution Overview

TigerGraph was founded in 2012 by programmer Dr. Yu Xu under the name GraphSQL 

According to Gartner, by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021. This projection aligns with the explosive growth of TigerGraph’s global customer base, which has increased by more than 100% in the past twelve months as more organizations use graphs to drive better business outcomes.

A graph database is designed to facilitate analysis of relationships in data. A graph database stores data as entities and the relationships between those entities. It is composed of two things: vertices and edges. Vertices represent entities such as a person, product, location, payment, order and so on; edges represent the relationship between these entities, for example, this person initiated this payment to purchase this product with this order.   Graph analytics explores these connections in data and reveals insights about the connected data. These capabilities enable applications such as customer 360, cyber threat mitigation, digital twins, entity resolution, fraud detection, supply chain optimization, and much more.

TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s innovative architecture allows siloed data sets to be connected for deeper and wider analysis at scale. Additionally, TigerGraph supports real-time in-place updates for operational analytics use cases.

Below is an outline of the TigerGraph architecture.

As you should note, a TigerGraph instance is designed to process massive pools of data and utilizes a large number of processes to do so.  Choosing the correct hardware is critical to a successful deployment.

Reference Deployments

• Four top-tier banks use TigerGraph to improve fraud detection rates by 20% or more. 
• Over 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. 
• More than 50 million patients receive care path recommendations to assist them on their wellness journey. 
• One billion people depend on the energy infrastructure optimized by TigerGraph to reduce power outages.TigerGraph is a native parallel graph database purpose-built for analyzing massive amounts of data (terabytes). 

TigerGraph helps make graph technology more accessible. TigerGraph DB is democratizing the adoption of advanced analytics with Intel’s 4th Generation Intel Xeon Scalable Processors by enabling non-technical users to accomplish as much with graphs as the experts do.

TigerGraph with Dell PowerEdge and Intel processor benefits

The introduction of new server technologies allows customers to deploy solutions using the newly introduced functionality, but it can also provide an opportunity for them to review their current infrastructure and determine if the new technology might increase performance and efficiency.  Dell and Intel recently conducted TigerGraph performance testing on the new Dell PowerEdge R760 with 4th Generation Intel Xeon Scalable processors and compared the results to the same solution running on the previous generation R750 with 3rd generation Intel Xeon Scalable processors to determine if customers could benefit from a transition.

Dell PowerEdge R660 and R760 servers with 4th generation Intel Xeon Scalable processors deliver a fast, scalable, portable and cost-effective solution to implement and operationalize deep analysis of large pools of data.

Raw performance: As noted in the report, PowerEdge servers with 4th Generation Intel Xeon Platinum processors delivered up to 1.15x better throughput than 3rd Generation Intel Xeon Platinum processors and were able to load the data set up to 1.27x faster (for TigerGraph in the LDBC SNB BI benchmark).

Benchmark score

Load time

Conclusion

Choosing the right combination of Server and Processor can increase performance and reduce latency.  As this testing demonstrated, the Dell PowerEdge R760 with 4th Generation Intel Xeon Platinum 8468 CPUs delivered up to a 15% performance improvement for business intelligence queries than the Dell PowerEdge R750 with 3rd Generation Intel Xeon Platinum 8380 CPUs, and were able to load the data set up to 27% faster.