StellarGraph Platform is a commercial grade platform that enables you to scale your graph machine learning experiments to production
A distributed platform that allows us to ingest data, create graphs and apply performant machine learning at scale in the billions of data points.
Leverage machine learning where it counts - on production scale data to get greater value insight from your data assets.
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Scalable architecture for graph machine learning
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Based on Apache Hadoop and Spark
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Scales to billions of edges
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Cloud-hosted via Kubernetes
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Ready to deploy on existing Spark clusters
- Scala library providing:
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Entity Resolution
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Deep learning for node attribute inference and link prediction
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Homogenous and heterogeneous graph support
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Unique graph storage layer supported by HDFS and Elasticsearch
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ETL via Spark connectors
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SCALE
Scales to billions of edges, apply graph machine learning to big data
DEPLOYMENT FLEXIBILITY
SaaS or on-prem install depending on your data security requirements
CUTTING EDGE
Extended access to StellarGraph Library algorithms with additional tooling and monitoring capabilties