Truth Behind Neo4j’s “Trillion” Relationship Graph
Neo4j’s 100TB Demo is Smoke and MirrorsMy interest in graph database benchmarks started with my conversation with Peter Boncz (LDBC chair) at SIGMOD 2018. He introduced me to the “choke…
It’s Not Just Hype – Graph is Transforming Businesses
First, the good news. In a recent report, Top 10 Data and Analytics Technology Trends That Will Change Your Business, Gartner Research identified graph database and analytics as a key…
On “Benchmarking RedisGraph 1.0”
Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph's, following the tests [2] in TigerGraph's benchmark report [3], which requires solid performance on 3-hop, 6-hop, and…
TigerGraph Roars Past The Competition: Graph Database Benchmark Findings
With the graph database market on the rise, it is important to understand the differentiators between each vendor. TigerGraph is the first and only native parallel graph with massively parallel…
Half-Terabyte Benchmark Neo4j vs. TigerGraph
Neo4j's loading time is shorter than TigerGraph; however, Neo4j requires extra preprocessing that extracts the vertex file from the edge file. After including the pre-processing time, Neo4j takes longer time to loading than…
Amazon Neptune, the Truth Revealed
In May this year, Amazon announced the General Availability of its cloud graph database service called Amazon Neptune. Here is a comprehensive blog that summarizes its strengths and weaknesses. Last…
