Neo4j launches a serverless version of its graph database solution, allowing organizations to start with graph analytics on any data source without complex preparations.
The new service, Neo4j Aura Graph Analytics, works without ETL processes and doesn’t require in-depth knowledge of graph query languages like Cypher. This lowers the barrier for companies wanting to start with graph analytics for applications in artificial intelligence, for example.
Graph Analytics Without ETL or Complex Installation
Neo4j Aura Graph Analytics uses a serverless model. This means companies can perform their analyses without managing servers or configuring pipelines. The solution is compatible with a wide range of data sources, including Oracle, Microsoft SQL, Snowflake, Google BigQuery, Databricks, and Microsoft OneLake.
According to Neo4j, thanks to the serverless nature and more than 65 built-in graph algorithms, companies can start analyzing and visualizing complex, often unstructured data within minutes. The technology is optimized for AI applications. By using vector search and parallel workflows, large language models can discover patterns and connections in data faster and more accurately.
Applications in AI and Data Analysis
According to Gartner market research, many companies struggle with fragmented and incomplete datasets, hindering the development of reliable AI. SiliconAngle suggests that graph analytics offers a solution here by making missing connections in the data visible.
Neo4j claims that its solution can increase the accuracy of AI models like LLMs by 80 percent and that insights can be generated twice as fast compared to traditional methods. By making ETL processes obsolete, developers would need up to 75 percent less code. Usage is billed via a pay-as-you-go model, based on computing power and storage use.
Later this year, native integration with Snowflake will also become generally available. This integration will make it possible to perform graph analytics directly within the Snowflake platform without data movement.