Introducing TigerGraph Savanna: Our Next-Generation Cloud Native Graph Database for Supercharging AI Systems
Blog post from TigerGraph
TigerGraph Savanna is a next-generation, cloud-native graph database designed to enhance artificial intelligence systems through advanced graph analytics. It features a robust architecture with a cloud-native approach, including a storage layer using Amazon S3 for graph data and EFS for index data, a compute layer optimized for complex query execution with AWS Kubernetes for elastic scaling, and a control plane for centralized management. The platform supports compute-storage separation, enabling efficient resource allocation and workload management, and offers features like auto suspend and resume, scheduled resource expansion and shrinkage, and comprehensive monitoring and alerting. With tools for easy user permission management, data ingestion from various sources, and data export to S3, as well as built-in GSQL and schema editors for query writing and design, TigerGraph Savanna provides a user-friendly environment for graph analytics. Additional features such as solution kits, auto data profiling, and a no-code graph explorer enhance its usability, making it accessible for a wide range of users and use cases.