Learn how to build new data models, indexes, and more on top of the FoundationDB API. For more background, check out the :doc:`client-design` documentation.
- :doc:`Blob <blob>`: Store binary large objects (blobs) in the database.
- :doc:`Hierarchical Documents <hierarchical-documents>`: Create a representation for hierarchical documents.
- :doc:`Multimaps <multimaps>`: Create a multimap data structure with multiset values.
- :doc:`Priority Queues <priority-queues>`: Create a data structure for priority queues supporting operations for push, pop_min, peek_min, pop_max, and peek_max.
- :doc:`Queues <queues>`: Create a queue data structure that supports FIFO operations.
- :doc:`Segmented Range Reads <segmented-range-reads>`: Perform range reads in calibrated batches.
- :doc:`Simple Indexes <simple-indexes>`: Add (one or more) indexes to allow efficient retrieval of data in multiple ways.
- :doc:`Spatial Indexing <spatial-indexing>`: Create a spatial index for the database.
- :doc:`Subspace Indirection <subspace-indirection>`: Employ subspace indirection to manage bulk inserts or similar long-running operations.
- :doc:`Tables <tables>`: Create a table data structure suitable for sparse data.
- :doc:`Vector <vector>`: Create a vector data structure.
.. toctree::
:maxdepth: 1
:titlesonly:
:hidden:
blob
blob-java
hierarchical-documents
hierarchical-documents-java
multimaps
multimaps-java
priority-queues
priority-queues-java
queues
queues-java
segmented-range-reads
segmented-range-reads-java
simple-indexes
simple-indexes-java
spatial-indexing
spatial-indexing-java
subspace-indirection
subspace-indirection-java
tables
tables-java
vector
vector-java