Add documentation about experimental features
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#####################
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Experimental-Features
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#####################
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What is an experimental feature?
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================================
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Experimental features in FoundationDB are tools or functionalities that developers can use
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to test new ideas or capabilities within the database system. These features are not fully
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developed or officially supported yet, so they should not be used for production.
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A feature is flagged "production-ready" when either Apple or Snowflake(or any major contributor)
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is using the feature in production.
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List of features
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----------------
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================ =============== ================== ================== ==================
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Features Status in 7.0 Status in 7.1 Status in 7.2 Status in 7.3
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================ =============== ================== ================== ==================
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Redwood Experimental Production-ready Production-ready Production-ready
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GetMappedRange Experimental Experimental Experimental
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Tenant Experimental Experimental Experimental
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MetaCluster Experimental Experimental Experimental
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ChangeFeed Experimental Experimental Experimental
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Idempotent txn Experimental Experimental Experimental
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================ =============== ================== ================== ==================
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* :doc:`anti-features`: What a system *isn't* is sometimes as important as what it is. FoundationDB explicitly excludes some features either because they are at odds with the overall system design, or because they are better implemented as :doc:`layers <layer-concept>`.
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* :doc:`experimental-features` describes experimental features of FoundationDB, available for testing.
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* :doc:`engineering` summarizes the unique tools and capabilities behind FoundationDB.
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* :doc:`fault-tolerance`: FoundationDB provides fault tolerance by intelligently replicating data across a distributed cluster of machines. Our architecture is designed to minimize service interruption and data loss in the event of machine failures.
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features
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layer-concept
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anti-features
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experimental-features
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transaction-processing
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fault-tolerance
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flow
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