Hakka　culture　is　an　important　part　of　China　southern　culture.　There　are　many　features　of　Hakka　culture　data　collected　through　the　digital　and　information　technology,　such　as　a　diverse　data　type　and　format,　unstructured　data,　and　huge　volume,　which　brings　big　difficulty　to　manage　and　use　them.　NoSQL　technology　has　high　availability　and　high　scalability,　which　provides　new　methods　for　the　storage　and　management　of　unstructured　Hakka　culture　data.　In　this　paper,　MongoDB,　A　document-oriented　NoSQL　database,　was　lead　into　the　management　of　unstructured　Hakka　culture　data.　The　study　focuses　on　multi-source　Hakka　culture　heterogeneous　data　management　strategy　and　data　service　method.　Storage　strategy　of　the　multi-source　heterogeneous　Hakka　culture　data　based　on　MongoDB　are　proposed　and　established.　The　sharding,　indexing　and　query　mechanism　for　Hakka　culture　database　were　explored.　Taking　Western　Fujian　Hakka　Culture　data　as　the　example,　Hakka　culture　data　management　prototype　system　was　constructed.　©　2016　IEEE.