Neo4j Launches Serverless Graph Analytics Compatible with Any Data Platform
Neo4j®, the world’s leading graph database and analytics company, has unveiled Neo4j Aura Graph Analytics, a new serverless offering designed to work seamlessly with any data source and requiring Zero ETL (extract, transfer, load). This innovation democratizes graph analytics, making it accessible to users of all skill levels by eliminating the need for specialized graph expertise.
Neo4j Aura Graph Analytics delivers powerful insights, boosting model accuracy by up to 80% and providing twice the depth of insight compared to traditional analytics. The platform supports all major databases like Oracle and Microsoft SQL, cloud data warehouses and lake platforms such as Databricks, Snowflake, Google BigQuery, Microsoft OneLake, and works on any cloud environment.
Unlocking AI Potential with Graph Analytics
Graph analytics enhances AI decision-making by revealing hidden patterns and relationships within complex data sets, offering richer context than traditional methods. Despite its benefits, graph analytics has been underutilized due to complexity. Neo4j’s new solution removes barriers by providing 65+ ready-to-use graph algorithms, no infrastructure setup, and no prior graph technology knowledge needed.
As noted by Gartner in their Exploring the Top Use Cases for Graph Analytics report, “Data and analytics leaders should use graph analytics to fill data gaps and blend data assets even when they have diverse data quality.”
Key Benefits and Features
- Up to 80% model accuracy: Graph embeddings transform graph structures into machine learning-ready features, uncovering deeper insights.
- 2X faster insights: Parallelized in-memory processing accelerates analytics and supports unlimited concurrent sessions.
- 75% less code and Zero ETL: Users can run algorithms directly on data in their preferred environment, such as Python’s Pandas, without building complex ETL pipelines.
- Fully managed, serverless platform: No administration overhead with pay-as-you-use pricing, scaling compute and storage as needed.
Native Snowflake Integration Coming Soon
The Snowflake native integration for Neo4j Graph Analytics will be generally available in Q3 FY25. This enables organizations to operationalize graph analytics directly within their Snowflake environments and purchase via the Snowflake Marketplace.
Industry Recognition and Adoption
Neo4j has achieved multiple milestones recently, including its recognition as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems and a Strong Performer ranking in The Forrester Wave™: Vector Databases, Q3 2024. The company has doubled its annual recurring revenue to a $2B+ valuation, serving 84% of Fortune 100 companies and 58% of the Fortune 500.
Customer Success Stories
“At Resident Home, our e-commerce results rely on real-time, accurate data. Neo4j’s serverless graph analytics allowed us to quickly scale and improve analytics performance without complex setup.” – Dor Shoef, Data Engineering Tech Lead
“Audience Acuity solves complex identity challenges by stitching together data from 20 sources using Neo4j Graph Analytics for Snowflake, enabling marketers to stay ahead with advanced insights.” – Benjamin Squire, Principal Data Scientist
“Neo4j’s solution makes graph analytics accessible, allowing enterprises to transform data into actionable knowledge across platforms for better decision-making.” – Devin Pratt, Research Director, IDC
Looking Ahead
Neo4j Aura Graph Analytics aims to simplify graph analytics adoption, enabling faster and better business decisions without the need for complex queries or infrastructure management. Users can focus on leveraging deeper data connections to drive innovation and performance across industries.
For more information, visit Neo4j’s website and blog.