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Data Analytics
Business Honor
08 May, 2025
Neo4j Aura Graph Analytics offers serverless, zero-ETL data analysis across all major data sources.
Neo4j, a leader in graph database and analytics technology has launched Aura Graph Analytics, a new serverless platform designed to make advanced data analysis easier and more accessible. With zero ETL (extract, transform, and load) and support for any data source, this solution allows users to gain deep insights without the need for complex data movement, setup or prior graph expertise.
The paid version of Aura Graph Analytics is currently accessible and compatible with cloud data platforms including Snowflake, Databricks, BigQuery and Microsoft, as well as well-known databases like Oracle SQL Server and OneLake, and can run on any cloud. Anyone in the field, from business analysts to data scientists, can use it to analyze relationships in data and make better decisions without building complicated pipelines or learning the Cypher query language.
Users can start analyzing data quickly by connecting through Pandas data frames in Python, the most popular language for data science and AI. More language support is expected soon. With over 65 built-in graph algorithms, users can uncover patterns, trends and connections within their data, whether for fraud detection, customer segmentation, recommendation engines or supply chain analysis.
Neo4j Aura Graph Analytics requires no infrastructure setup, scales automatically, and is optimized for high-performance, parallel workflows. Users only pay for the storage and processing power they really utilize. Later this year, Neo4j Graph Analytics for Snowflake, a native integration, will become generally available, giving Snowflake users direct access to graph-powered insights through the Snowflake Marketplace. By eliminating technical barriers and making graph analytics accessible to all skill levels, Neo4j is helping organizations solve faster, smarter, and more connected decisions across all their data, no matter where it lives.