AWS and Neo4j are offering scalable and intelligent tools to help data scientists quickly gain insights from their data. By adding graph algorithms and embeddings to ML pipelines, data scientists can now explore billions of data points in seconds, identify hidden connections, and generate compelling visualizations to make informed decisions.AuraDS Enterprise, a fully managed graph analytics and ML engine, is now available on AWS in the Early Access Program. This fully hosted graph data science service takes care of all database administration so data scientists can focus on what they do best – analyzing data and getting ML models into production. With a library of over 65 pre-tuned graph algorithms and ML models, data scientists can easily identify and interpret meaningful relationships in their data.
Businesses and organizations can benefit from practical applications and context-first analysis that help them discover what’s important, what’s unusual, and what’s next. Recommendation engines, anomaly and fraud detection, route optimization, customer 360, and network analysis are just a few examples of projects that can take advantage of graph data science.
With AuraDS Enterprise on AWS you can integrate, analyze, and manage your graph data science pipelines using Amazon SageMaker and Amazon EMR. With a single SaaS license that covers all aspects of the infrastructure including storage (and backup storage), IO rate, data transfer, and more, it’s easy for any enterprise data science team to get started and create value quickly.
As an AWS Data and Analytics Competency Partner, we help organizations make the most of their data connections, influences, and relationships. If you’re interested in joining the Early Access Program for AuraDS on AWS, please contact us.
To learn more about how AuraDS can bring uplift to model accuracy with graph features, read this blog article.
AuraDS includes Graph Data Science Enterprise and Bloom for visual data exploration, both supported by our graph database. To compare editions, visit our pricing page.
