Amazon Neptune vs. Neo4j vs. SQL Query Tuner vs. dbForge Query Builder for MySQL Comparison Chart

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.

SQL Query Tuner helps database administrators to tune and profile SQL code for SQL Server. Unlike its competition, it provides automated SQL tuning and performance optimization suggestions with color-coded index analysis, database profiling of wait-time analysis for a single stored routine or an entire data source, SQL stress load testing to simulate a production environment with parallel users and executions over a specific period of time or execution cycle, and review of SQL execution and performance costs using explain plans.