Neo4j Unveils Aura Graph Analytics: Serverless, Fully-Managed Graph Service
Neo4j, a leading graph database provider, has unveiled Neo4j Aura Graph Analytics. This fully managed, serverless service is now available on major cloud platforms, seamlessly integrating with Neo4j AuraDB.
Neo4j Aura Graph Analytics boasts over 65 ready-to-use graph algorithms, optimized for high-performance applications and parallel workflows. It requires no infrastructure setup or prior graph technology experience, making it accessible to all.
The service is available on a pay-as-you-use basis and works with any data source, including databases, cloud data warehouses, and lakes. It can be used seamlessly with Pandas dataframes in Python, with support for other major languages coming later this year. This removes the need for custom queries, ETL pipelines, or specialized graph expertise.
Graph databases like Neo4j Aura Graph Analytics excel in queries involving relationships, offering constant-time traversal. This makes them ideal for agile development or areas with changing data.
Neo4j Aura Graph Analytics is now generally available, providing a fully managed, serverless cloud service for graph analytics. It's accessible to all, regardless of data source or technical expertise, and offers high-performance, parallel workflows with over 65 ready-to-use graph algorithms.
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