NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



scalable: All content tagged as scalable in NoSQL databases and polyglot persistence

Google Megastore: Scalable, Highly Available Storage for Interactive Services

A new paper from Google:

Megastore blends the scalability of a NoSQL datastore with the convenience of a traditional RDBMS in a novel way, and provides both strong consistency guarantees and high availability.
We provide fully serializable ACID semantics within fine-grained partitions of data. This partitioning allows us to synchronously replicate each write across a wide area network with reasonable latency and support seamless failover between datacenters.
This paper describes Megastore’s semantics and replication algorithm.

Megastore seems to be the solution behind the Google App Engine high replication datastore.

Emphases are mine.

Original title and link: Google Megastore: Scalable, Highly Available Storage for Interactive Services (NoSQL databases © myNoSQL)


Pregel: Graph Processing at Large-Scale

Good preso about Pregel:

The slides talk about:

  • Pregel compute model
  • Pregel C++ API
  • implementation details
  • fault tolerance
  • workers, master, and aggregators

As mentioned before Pregel is MapReduce for graphs. And besides Google’s implementation we’ll probably never see, there’s Phoebus, an Erlang implementation of Pregel.

Original title and link: Pregel: Graph Processing at Large-Scale (NoSQL databases © myNoSQL)