Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, transfer)—delivering the power of graph analytics to users of all skill levels.
Neo4j Aura Graph Analytics is generally available now on a pay-as-you-use basis and works with all databases, such as Oracle and Microsoft SQL, all cloud data warehouses and data lake platforms, such as Databricks, Snowflake, Google BigQuery, Microsoft OneLake, and on any cloud.
According to the company, the new Neo4j offering makes graph analytics capabilities accessible to all and eliminates adoption barriers by removing the need for custom queries, ETL pipelines, or any need for specialized graph expertise—so that business decision-makers, data scientists, and other users can focus on outcomes, not overhead.
Neo4j Aura Graph Analytics requires no infrastructure setup and no prior experience with graph technology or Cypher query language.
Users can deploy and scale graph analytics workloads end-to-end, enabling them to collect, organize, analyze, and visualize data. The solution includes a selection of more than 65 ready-to-use graph algorithms and is optimized for high-performance applications and parallel workflows. Users pay only for the processing power and storage they consume.
Neo4j Aura Graph Analytics is available for all data sources through Pandas dataframes in Python. According to GitHub, Python is the most commonly used language for AI. Support for all other major languages is expected this year.
Neo4j Graph Analytics for Snowflake, a native integration with Snowflake, will be generally available this Q3 following its launch last year and numerous large-scale enterprise deployments.
The move underscores mainstream demand for graph analytics across the most widely adopted data clouds, so that organizations across industries can operationalize data for faster and more accurate insights regardless of where that data lives. The offering can be purchased on Snowflake Marketplace.
"Our vision with Aura Graph Analytics is simple: make it easy for any user to make better business decisions faster. By removing hurdles like complex queries, ETL, and costly infrastructure set-up, organizations can tap into the full power of graph analytics without needing to be graph experts. The result: better decisions on any enterprise data source, built on a deeper understanding of how everything connects,” said Sudhir Hasbe, chief product officer, Neo4j.
For more information about this news, visit https://neo4j.com.