@CedarsSinai connected 20+ biomedical sources into a knowledge graph with 234,000+ entities and 1.67M relationships.
The point was not more data. It was making existing evidence easier to connect, trace, and investigate.
Learn more 👉 memgraph.com/blog/drug-disc…
#Memgraph
Memgraph is a high-performance, in-memory graph database that powers real-time AI context and graph analytics at scale.
- Fraud rings do not operate in silos. #Fraud detection systems often do. A login anomaly, suspicious payment and #AML signal may look minor alone, but reveal a network when connected. See why multi-hop analysis matters 👉 memgraph.com/blog/fraud-det… #Memgraph
- $485.6 billion was lost globally to fraud scams and bank fraud. This is not because of lack of data but because financial teams struggle to connect what they already know before the risk disappears into another system. Read why 🔗 memgraph.com/blog/fraud-tea… #Memgraph
- Another dashboard will not solve fragmented research data. Drug discovery teams need to query relationships across sources without manually stitching the context together first. Read how #KnowledgeGraphs help 👉 memgraph.com/blog/researche… #Memgraph #DrugDiscovery #BiotechResearch
- #PostgreSQL 19 vs #Memgraph. Same dataset. Same #traversal task. Very different story as the number of hops increased. #Benchmarking by Josip Mrđen. See the results 👉

