Java Embedded In memory graphdb's











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We are looking for option to represent our relation tables in graphdb (for certain use cases graph query will be less complex than sql). We want capability were on tomcat startup we can quickly build graph using some files (like csv) and then keep it in main memory for querying. We should also be able to refresh in memory representation on fly in case some data change happen. We have evaluated couple option as below




  • neo4j embedded - it's perfect but consuming lot of main memory.
    300-400 MB of data almost take 2-3 gb of main memory.


  • netflix-graph(https://github.com/Netflix/netflix-graph) - Good for our use case but project seems to be out of maintenance. Since it has not been widely used we are not sure what all issues it have and if we can use it for prod.



Apart from above two option can folks here suggest alternatives which we can evaluate.



TIA










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    up vote
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    down vote

    favorite












    We are looking for option to represent our relation tables in graphdb (for certain use cases graph query will be less complex than sql). We want capability were on tomcat startup we can quickly build graph using some files (like csv) and then keep it in main memory for querying. We should also be able to refresh in memory representation on fly in case some data change happen. We have evaluated couple option as below




    • neo4j embedded - it's perfect but consuming lot of main memory.
      300-400 MB of data almost take 2-3 gb of main memory.


    • netflix-graph(https://github.com/Netflix/netflix-graph) - Good for our use case but project seems to be out of maintenance. Since it has not been widely used we are not sure what all issues it have and if we can use it for prod.



    Apart from above two option can folks here suggest alternatives which we can evaluate.



    TIA










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      We are looking for option to represent our relation tables in graphdb (for certain use cases graph query will be less complex than sql). We want capability were on tomcat startup we can quickly build graph using some files (like csv) and then keep it in main memory for querying. We should also be able to refresh in memory representation on fly in case some data change happen. We have evaluated couple option as below




      • neo4j embedded - it's perfect but consuming lot of main memory.
        300-400 MB of data almost take 2-3 gb of main memory.


      • netflix-graph(https://github.com/Netflix/netflix-graph) - Good for our use case but project seems to be out of maintenance. Since it has not been widely used we are not sure what all issues it have and if we can use it for prod.



      Apart from above two option can folks here suggest alternatives which we can evaluate.



      TIA










      share|improve this question













      We are looking for option to represent our relation tables in graphdb (for certain use cases graph query will be less complex than sql). We want capability were on tomcat startup we can quickly build graph using some files (like csv) and then keep it in main memory for querying. We should also be able to refresh in memory representation on fly in case some data change happen. We have evaluated couple option as below




      • neo4j embedded - it's perfect but consuming lot of main memory.
        300-400 MB of data almost take 2-3 gb of main memory.


      • netflix-graph(https://github.com/Netflix/netflix-graph) - Good for our use case but project seems to be out of maintenance. Since it has not been widely used we are not sure what all issues it have and if we can use it for prod.



      Apart from above two option can folks here suggest alternatives which we can evaluate.



      TIA







      netflix neo4j-embedded






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      share|improve this question











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      share|improve this question










      asked Nov 11 at 7:32









      Rishi Saraf

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