Introducing the Neo4j Connector for Apache Spark
SAN MATEO, Calif., Nov. 12, 2020 /PRNewswire/ -- Neo4j , the leader in graph technology, announced today the Neo4j Connector for Apache Spark , an integration tool to move data bi-directionally between the Neo4j Graph Platform and Apache SparkTM.
- SAN MATEO, Calif., Nov. 12, 2020 /PRNewswire/ -- Neo4j , the leader in graph technology, announced today the Neo4j Connector for Apache Spark , an integration tool to move data bi-directionally between the Neo4j Graph Platform and Apache SparkTM.
- The Neo4j Connector for Apache Spark comes in response to high demand from the Spark and Neo4j communities to apply graphs to machine learning pipelines, unify data silos and derive greater value from existing data stores.
- For Spark Users:The Neo4j Connector for Apache Spark brings advanced graph capabilities to the Spark ecosystem so businesses can use contextual information to improve forecasting, analytics and predictions.
- "With the Neo4j Connector for Apache Spark, our customers can consolidate their data pipelines and supercharge their Neo4j Graphs with access to the massive Spark ecosystem.