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Scalability
===========
ArangoDB is a distributed database supporting multiple data models,
and can thus be scaled horizontally, that is, by using many servers,
typically based on commodity hardware. This approach not only delivers
performance as well as capacity improvements, but also achieves
resilience by means of replication and automatic fail-over. Furthermore,
one can build systems that scale their capacity dynamically up and down
automatically according to demand.
One can also scale ArangoDB vertically, that is, by using
ever larger servers. There is no built in limitation in ArangoDB,
for example, the server will automatically use more threads if
more CPUs are present.
However, scaling vertically has the disadvantage that the
costs grow faster than linear with the size of the server, and
none of the resilience and dynamical capabilities can be achieved
in this way.
In this chapter we explain the distributed architecture of ArangoDB and
discuss its scalability features and limitations:
- [ArangoDB's distributed architecture](Architecture.md)
- [Different data models and scalability](DataModels.md)
- [Limitations](Limitations.md)