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An in-memory computing platform called as Apache Ignite can be
inputed between a user's application layer and data layer. From the
current disk-based storage layer into RAM, enhancing six orders of
magnitude and performance.
For handling peta bytes of data to which the in-memory data
capacity can be easily scaled. Both the ACID transactions and SQL
queries are further supported. Scale, performance, and
comprehensive capabilities far above and beyond what traditional in
memory databases, data grids are offered by Ignite.
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Key Features
There is an in-memory data grid for handling distributed in-memory
data management and it is contained in Apache Ignite. You will find
object based, ACID transactional, failover, in-memory key value
store, etc. On the contrary to traditional database management
systems, primary storage mechanism are used by the Apache Ignite.
Instead of disk if you are using the memory then it increase its speed
upto 1 million times faster than traditional databases.
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The field queries concept of backing up to reduce the serialization
and network overhead is also supported by Ignite.
A computer grid for enabling parallel in memory processing is
included in the Apache Ignite. There are other CPU-intensive or
other resource-intensive tasks like traditional MPP, HPC, fork-join,
and Map Reduce processing. For Standard Java Executor Service
asynchronous processing is backed up by Apache.
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