Hybrid real-time data processing

Hybrid real-time data processing

Report Author(s): Philip Howard

There are a great many potential solutions for hybrid real-time operational/transactional and analytic processing and we have had to make decisions about what and what not to include. We have opted not to include any of the 800lb gorillas, firstly because they are very well known, secondly because they are expensive and, thirdly, because we cannot imagine anyone adopting one of these solutions unless they were already a user of said database. Other than that, we have included a representative sample of suppliers from each of the other categories of hybrid suppliers. Vendors included in this evaluation are:

  • Relational: Actian, MariaDB, MemSQL • NewSQL: CrateDB, LeanXcale, NuoDB and VoltDB; Esgyn (SQL on Hadoop)
  • NoSQL: Aerospike, Couchbase, DataStax, MongoDB, Redis Labs and InterSystems IRIS (pre-NoSQL)
  • Graph: ArangoDB, Neo4j, TigerGraph
  • Data grids: GigaSpaces, GridGain


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