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Introducing the New Neo4j Data Warehouse Connector

Blog post from Neo4j

Post Details
Company
Date Published
Author
Zach Blumenfeld
Word Count
767
Company Posts That Month
21
Language
English
Hacker News Points
-
Post removed?
No
Summary

The Neo4j Data Warehouse Connector is a new release that simplifies interoperability between Neo4j, Spark, and popular data warehouse technologies. It provides a simple, high-level API for moving data between Neo4j and data warehouses, making it easier to integrate analytics solutions into the data ecosystem. The connector supports various data warehouse technologies such as Snowflake, Google BigQuery, Amazon RedShift, Azure Synapse, and can be used with PySpark or Scala Spark, as well as with `spark-submit` out of the box. It is compatible with Neo4j AuraDB and Enterprise Edition, including Community Edition, and can be easily integrated into workflows involving data movement between Data Warehouses and Neo4j.

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