…subject, and tend to use query semantics and architecture interchangeably. In Part I of this post i tried to provide quick overview of what each query term stands for in the context of the NoSQL world . Part II illustrates those ideas using code examples from GigaSpaces and Datanucleus / Hbase.
See Part I , Part II for more information..
…resides, the status of each node, and even the state of the currently running jobs. Hadoop/ HBase competitors love to point to Zookeeper as a SPOF (single point of failure), but in reality, given the backing architecture this seems to be too often over-dramatized. Perhaps even more interestingly, as the Google paper mentions, Chubby has in effect replaced DNS within the Google infrastructure!
By allowing any client to access and store metadata, you can imagine a simple case where …
…the USA), there are 175 people in the Cassandra irc channel, 60 in the HBase one, 32 in Riak's, and 15 in Voldemort's. (Six months ago, the numbers were 90, 45, and 12 for Cassandra, HBase, and Voldemort. I did not hang out in # riak yet then.) Mailing list participation tells a similar story. It's also interesting that the creators of Thrudb and dynomite are both using Cassandra now, indicating that the predicted NoSQL consolidation has …
…Column-Stores by Daniel Abadi. I have noticed that Bigtable, HBase, Hypertable, and Cassandra are being called column-stores with increasing frequency, due to their ability to store and access column families separately. This makes them appear to be in the same category as column-stores such as Sybase IQ, C-Store, Vertica, VectorWise, MonetDB, ParAccel, and Infobright, which also are able to access columns separately.
Cloud Economics, By The Square Foot …
…directly). HIVE-705 added support for backends other than HDFS, with HBase as the first. Cassandra support should be doable too now. The Hive storage backends are described in http://wiki.apache.org/hadoop/Hive/StorageHandlers and the HBase backend specifically in http://wiki.apache.org/hadoop/Hive/HBaseIntegration .
Core
Avro RPC support : currently Cassandra's client layer is the Thrift RPC framework, which sucks for reasons …
Real-world usage for web-scale applications - from all the experience I've gleaned working with HBase, Redis, RabbitMQ, Amazon services, Hadoop/ MapReduce, and so on.
And finally, advanced usage of macros to build DSLs (domain-specific languages). So readers of all levels will get something from the book - folks new to Clojure can get started quickly, while intermediate to advanced users can gain also.
Michael>> Many of RubyLearning's Clojure course participants …
HBase
Hyperbase
On one end of the spectrum are the simple key-value stores: Dynamo, S3, Redis, Scalaris, Voldemort, etc. At the other end of the spectrum are the column-stores which provide a very rich model: BigTable, Cassandra, Hypertable and HBase fall into this bucket. This richness comes at a price - the model is not simple, and you need to think data modeling grounds up. Somewhere in between are the document stores - a sort of schema free cousins of relational databases: …
…column-oriented data stores (inspired by Google's BigTable) such as HBase and Cassandra. Adapted from ActiveRecord, BigRecord is designed to work as a drop-in for Rails applications.
Wen-Tien Chang's slideshare presentation Rails Best Practices from kungfurails.
Alchemist is a fine Ruby unit conversion library designed for readability and convenience.
Limelight is a rich …
The FightMyMonster team switched from HBase to Cassandra after concluding that " HBase is more suitable for data warehousing, and large scale data processing and analysis... and Cassandra is more suitable for real time transaction processing and the serving of interactive data." Dominic covers CAP, architecture considerations, benchmarks, map/reduce, and durability in explaining his conclusion.
Eric Peters gave a talk on Cassandra use at his company, Frugal Mechanic…
…framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems. We define a core set of benchmarks and report re- sults for four widely used systems: Cassandra, HBase, Yahoo!'s PNUTS, and a simple sharded MySQL implementation .
All recordings from NoSQL Live Boston now online! . It's almost like you were there.