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Learn why companies across industries are switching to ArangoDB Graph.
Native Multi-Model Support
In Master Data Management, ArangoDB stands out by combining graph, document, full-text search, and key-value data models. This means different domains can be housed in one database, simplifying the handling of varied master data like customer and product information. This capability ensures a unified approach to managing interconnected data and maintaining consistent and reliable information across the organization.
Powerful Graph Traversals
Master Data Management requires the resolving of data discrepancies across disparate systems. Developers can utilize ArangoDB's efficient graph traversals to explore and reconcile complex relationships between data entities. Leveraging both graph and document data models, developers can model intricate entity relationships and attributes with granular detail, ensuring uniform, accurate insights.
Agile Schema-Free Design
If a developer needs to unify disparate data formats, ArangoDB’s schema-free and multi-model approach is crucial. For example, to align product data residing in different formats, a developer can use ArangoDB to model and integrate varied data without database restructuring, using ArangoDB’s AQL for precise querying and combining of diverse datasets, disparate and fragmented data can finally be unified.
Optimized Query Performance
Say a developer needs to resolve and harmonize diverse user profiles. With ArangoDB's refined smart indexing, developers can achieve quicker and more accurate user data retrieval and linkage from expansive knowledge graphs than with competitors. Leveraging AQL for its advanced filtering and sorting, they can more easily navigate, relate, and manage intricate user data relationships using a query language that is more powerful and efficient.
Flexible Deployment Options
While customers have an on-premise, self-managed option with ArangoDB Enterprise, ArangoGraph Insights Platform may offer some specific benefits to MDM projects. The cloud's flexibility and cost-efficiency are particularly advantageous for MDM tasks that require rapid adaptation to changing data structures, supporting dynamic data consolidation.
ArangoDB vs. Legacy Graph DBs
For Master Data Management
ArangoDB For Master Data Management | Neo4j & Others for Master Data Management |
|
---|---|---|
Native Multi-Model Support | ||
Horizontal Scalability | ||
Flexible Schema | ||
Bi-Directional Relationships | ||
ACID Compliance |
Get started free today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.