Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are:
Storm and Kafka (for processing stream data)
Drill and Dremel (for ad-hoc queries of big data)
R (for data science with big data)
Gremlin and Giraph (for graph analysis, e.g. of social networks)
SAP HANA (for in-memory analytics). HANA isn't an open-source tool though, so perhaps the fifth slot should really go to ...
Honourable mention D3, for web-based visualization.
Regarding R, Gasper says that it is "incredibly powerful", "the new standard for statistics", and that "the R community is one of the most thrilling places to be in Big Data right now". He also mentions the RHadoop project ("R work very well with Hadoop") and the up-and-coming Julia project.
You can read Gasper's complete overview of R and the other trending big-data technologies at link below.
TechCrunch: Big Data Right Now: Five Trendy Open Source Technologies Niklas Bjorkman wrote: Firstly I agree with your conclusion. NewSQL takes the best of the traditional databases and NoSQL databases to combine the benefits of both worlds. I do not agree that NewSQL vendors focus on giving scale-out features to transactional data. The NewSQL market is focusing on giving true ACID support combined with extreme performance, stepping away from the traditional relational structures in databases. A lot of developers appreciate the ease of accessing data using SQL and I think we will see more and more databases supporting standard SQL.
As you said - NewSQL databases often maintain the...
Apr. 12, 2013 02:56 AM EDT
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