Download neo4j enterprise edition drivers#

Using Multi-Clustering for a cluster-based multi-tenant strategy allows you to define baseline schemas and data templates independent of a given tenant. Physical graph partitioning is a cloud-friendly model, especially considering server-to-server encryption, multi-data center or zone support in conjunction with the above-mentioned strategies.

Or, you could use this approach for the creation and storage of multiple analytic graphs derived from graph-based analysis. Physical graph partitioning might include naming and managing graphs according to geography (e.g., country), customer ID, products, use cases, versions, or data center as individual clustered instances. Physical Graph PartitioningДЇor the horizontal scaling of databases with logically distinct graphs, Multi-Clustering can be used to adopt a strategy of physical graph partitioning. Here are just a few scalability use cases of Multi-Clustering we initially imagined (weвЂ™re sure youвЂ™ll surprise us with even more): 1. Multi-Clustering Scalability Use Cases & Strategies

Download neo4j enterprise edition drivers#

The directory service lives within lower levels of Bolt drivers at the same level as cluster load balancing and routing logic, all of which saves developers innumerable headaches. Multi-Clustering comes with a new directory service that manages a routing table of locations for each named database cluster. For example, Multi-Clustering is perfect for building GDPR-compliant data lineage systems by country, or segmenting a graph databaseВ according to product line or division. Multi-Clustering can be used to logically partition graphs create highly-available, large-scale multi-tenant SaaS systems or oversee multiple graph implementations across the enterprise. We view this as a step in our march toward fully-sharded horizontal scaling of graph data. With Multi-Clustering, you can create and manage multiple domain-specific database clusters, effectively partitioning the graph into independent parts.