The modern data stack is composed of various technologies, including databases, data warehouses, and data lakes, which are interconnected with powerful ETL tools. Neo4j aims to be a part of this landscape by providing connectors for efficient import and export of data. The Neo4j Kafka connector enables bi-directional data flow between Neo4j and Apache Kafka, while the Spark connector allows batch processing between Neo4j and Apache Spark data frames. Additionally, the Data Warehouse Connector facilitates movement of data between Neo4j and popular data warehouses like Snowflake and BigQuery, and the BI Connector provides a read-only interface for visualizing or combining data from multiple databases in business intelligence tools like Tableau.