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Changes are persisted by Cosmos DB, which makes it possible to request changes from any point in time since the creation of the container. A "Time to Live" (or TTL) can be specified at the container level to let Cosmos DB automatically delete items after a certain amount of time expressed in seconds. This countdown starts after the last update ...
Database SQL Document Graph Object License Transactions ArangoDB: No: Yes: Yes: No: Business Source License 1.1: Full ACID, pessimistic locking, configurable durability
To optimize database connectivity, connection pool configurations should be carefully aligned with the database's capacity and the application's specific workload, ensuring efficient connection reuse without overburdening the database server and maintaining a balance between connection availability and resource utilization.
The C4 model documents the architecture of a software system, by showing multiple points of view [5] that explain the decomposition of a system into containers and components, the relationship between these elements, and, where appropriate, the relation with its users. [3] The viewpoints are organized according to their hierarchical level: [2] [3]
AnzoGraph DB is a massively parallel native Graph Online Analytics Processing style database built to support SPARQL and Cypher Query Language to analyze trillions of relationships. AnzoGraph DB is designed for interactive analysis of large sets of semantic triple data, but also supports labeled properties under proposed W3C standards.
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Supported data types include scalar value types such as boolean, string, number, integer, and floating-point numbers. It also supports temporal types like datetime, localdatetime, date, time, localtime, and duration. Container data types for maps and lists are available, along with graph types for node, relationship, path, and a void type. [5]
The tradeoff between availability, consistency and latency, as described by the PACELC theorem. In database theory, the PACELC theorem is an extension to the CAP theorem.It states that in case of network partitioning (P) in a distributed computer system, one has to choose between availability (A) and consistency (C) (as per the CAP theorem), but else (E), even when the system is running ...