Graph Database & Gen AIMemgraph as a Graph DatabaseGraph Database Best Practices
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Introduction to Memgraph's Performance Advantages
Intro to Memgraph as a high-performance solution for complex graph data challenges.
4 minutes
Transitioning from Neo4j to Memgraph
Outline of practical steps and advantages of migrating from Neo4j to Memgraph, emphasizing the smooth transition pathways.
6 minutes, 4 seconds
Memgraph’s In-Memory First Approach
Explore the benefits and technical underpinnings of Memgraph’s in-memory first approach.
4 minutes, 28 seconds
Deep Diving into Memgraph’s Performance Advantage
Insights into the performance enhancements of Memgraph, including specific benchmark results.
4 minutes, 44 seconds
Graph-Optimized MVCC Data Structures in Memgraph
Demo of the graph-optimized Multi-Version Concurrency Control (MVCC) and structure.
4 minutes, 48 seconds
Mastering Deep-Path Traversals in Memgraph
Learn about the implementation and advantages of built-in deep-path traversals in Memgraph.
4 minutes, 43 seconds
About this course
Resources
Step Up from Neo4j, Memgraph’s Edge in Performance
6 Modules
|
Resources: 18
|
Total: 29 Minutes
Hal J. Eisen
VP of Engineering at
Memgraph
Experience the difference with Memgraph's superior performance for complex graph data challenges, making transitions from Neo4j not just easy but advantageous
• Key features that set Memgraph apart (in-memory first approach, graph-optimized MVCC data structures, deep-path traversals)
• Smooth transition pathways from Neo4j
• Insights into Memgraph’s performance enhancements, benchmark results under memgraph.com/benchgraph
Get Started
Master Graph Algorithms in Minutes
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