Neo4j has introduced a unified tools experience called Workspace, which brings together Data Importer, Bloom, and Browser to help users get up and running with graph databases quickly and efficiently. This new feature integrates Data Importer, enabling users to import multiple datasets, sketch their data model, map categories, import data, and explore it in their Neo4j graph database. Graph Data Science has also been enhanced with new features such as Apache Arrow Integration for Graph Projections, allowing users to import and export massive graphs up to 8 million objects/second, and new algorithms like Leiden and K-means clustering. Additionally, Neo4j Operations Manager has been introduced, providing a graphical UI-based tool for monitoring and administering all Neo4j databases, instances, and clusters from a central interface. New clustering changes in Neo4j 5.0 offer horizontal scale without requiring existing servers to be scaled vertically, making operational issues associated with managing large graphs easier to manage. The new Neo4j Data Warehouse Connector provides a simple way to move data between Neo4j and popular Data Warehouses like Snowflake, BigQuery, Amazon Redshift, and Microsoft Azure Synapse Analytics.