Polyglot Persistence can be handled with a native multi-model database, as it allows to have polyglot data easily, but at the same time with data consistency on a fault tolerant system. But the biggest challenge is building a large cohesive structure with data consistency and fault tolerance between separate, unrelated database systems. Integrating single-model databases is a difficult job in itself. As a result of working with single-model databases, it can lead to multiple operational challenges. Certain tasks need a document database, while others may need a graph database. The decree of Polyglot Persistence is to employ the best tools for every job you undertake.
As ArangoDB can scale both vertically and horizontally, so in case when your performance demands a decrease (a deliberate, desired slow-down), your back-end system can be easily scaled down to save on hardware as well as operational costs. With applications growing over time, ArangoDB can tackle growing performance and storage needs, by independently scaling with different data models. In addition to consolidating your overall technical needs, this simplification leads to lower total cost of ownership and increasing flexibility. Consequently, it reduces the technology-stack complexity for the application. Following are the advantages of using ArangoDB − ConsolidationĪs a native multi-model database, ArangoDB eliminates the need to deploy multiple databases, and thus decreases the number of components and their maintenance.
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