NoSQL Databases: a Survey and Decision Guidance
Felix Gessert

Hi Felix, nice and very useful article that summarizes a lot of work on your part!

A few things that might be worth correcting in your table:

  • Most if not all of the products support ACID properties for single record transactions, and what they lack is multi-record ACID. In most of these products the data for a given record in many cases “fits” within a single document/row, and so the need for multi-record ACID is greatly diminished. I’m not sure ACID is really binary the way your table suggests, especially in light of the distributed nature of these products.
  • MongoDB does not support your definition of “update anywhere” — at any given time, there is a single primary copy of the data for writes.
  • MongoDB provides an in-memory storage engine, but this is not open source (in case this matters for your analysis).
  • MongoDB seems to meet your definition of elastic — you can add and remove shards at any time, and the data is automatically distributed across nodes (see this link and this one).
  • Cassandra does not support full text search. Datastax packages Cassandra with Solr in their commercial product, but I don’t think that’s quite the same thing as a native database feature.
  • Cassandra does not support secondary indexes in the way other products in your analysis do — there are many caveats to their use, see this link.
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