RFX-DB: Reactive Database for data-driven, next-generation enterprise

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Features:

• NoSQL database for observable data event and reactive data query
• Query data Rfx-Query (query for now and get new updated data with PubSub)
• Processing fast data as real-time view, there are 3 kind of data would be stored queried:
  • behavioral data (game, interests, touch, impressions, click, view,...)
  • context data (location, time, referrer, lead , session, ...)
  • entity data (user, games, revenue, marketing compaign, products, Buy in-app items, ...)
• Data pipeline processing for "fast data"
• Design for lightweight Lambda Architecture

Ideas and implemented at RFX Lab (http://www.rfxlab.com)

Inspired by:

• Actor model http://en.wikipedia.org/wiki/Actor_model
• Reactive Streams http://www.reactive-streams.org
• ReactiveX http://reactivex.io
• Spark is a fast and general processing engine https://spark.apache.org
• Reactive Function X (RFX) https://github.com/mc2ads/rfx
• In-Memory Data Fabric , https://ignite.incubator.apache.org
• Database Management Systems http://www.gartner.com/technology/reprints.do?id=1-2PIP95D&ct=151012

Refer links:

• https://en.wikipedia.org/wiki/Reactive_programming
• http://www.guidosalvaneschi.com/attachments/presentations/2013_reactive-applications-salvaneschi.pdf
• https://ifl2014.github.io/submissions/ifl2014_submission_4.pdf
• http://reactivex.io/
• http://akka.io/
• http://thinkaurelius.github.io/titan/