As for Intel, what if this investment also sealed an exclusive deal for Hadoop-centric Cloudera-supported Intel-powered appliance?
I didn’t know about the existing Dell-Cloudera-Intel partnership, but this is re-inforced with the recent announcement of an in-memory appliance.
Since 2011, Cloudera, Dell and Intel have built pre-validated reference architectures for Hadoop. […]
The Dell In-Memory Appliances for Cloudera Enterprise is yet another proof point of the collaboration and synergies between the three companies. As the first of a family of appliances, it includes leading Dell hardware, Cloudera’s enterprise data hub -based on Cloudera Enterprise, Intel architecture for fast processing, and ScaleMP’s Versatile SMP (vSMP) architecture to aggregate multiple x86 servers into a single virtual machine to create large memory pools for in-memory processing.
Original title and link: Dell and Cloudera and Intel join forces for appliances ( ©myNoSQL)
There are three things that I’d really appreciate some help understanding:
MapR says it is an Apache Hadoop distribution. Does any of the MapR products include the
While I know there’s no definition of such a thing, as far as I know self-claimed API compatibility is by no means the same thing as Apache Hadoop.
I’m also not aware of any action from ASF on this matter.
MapR says it’s the most complete distribution of Hadoop. The matrix below, from Kirill Grigorchuk’s summary of Altoros’s Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR paper, doesn’t seem to confirm this.
MapR says it is committed to open source. I’ve checked the list of committers for Apache Hadoop, Apache HBase, Apache Pig, and Apache ZooKeeper and except Ted Dunning’s PMC role in Apache ZooKeeper, I couldn’t find any MapR employee listed.
Original title and link: Three questions about MapR and their products. ( ©myNoSQL)
From the GitHub repo:
Cayley is an open-source graph inspired by the graph database behind Freebase and Google’s Knowledge Graph.
- Written in Go
- Easy to get running (3 or 4 commands, below)
- RESTful API * or a REPL if you prefer
- Built-in query editor and visualizer
- Plays well with multiple backend stores: * LevelDB for single-machine storage * MongoDB * In-memory, ephemeral
- Modular design; easy to extend with new languages and backends
- Good test coverage
- Speed, where possible.
✚ What’s interesting is that even if under Google’s GitHub account, the project is not backed by Google.
✚ The Hacker News thread focuses on the existing graph database market.
Original title and link: Cayley: an open-source graph database ( ©myNoSQL)
Big news coming from myNoSQL’s supporters Aerospike:
Aerospike in-memory NoSQL database is now open-source.
Original title and link: Aerospike in-Memory NoSQL database is now Open Source [sponsor] ( ©myNoSQL)