Comparing SimpleDB to Other Products and Services in Java

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Comparing SimpleDB to Other Products and Services
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Transactions are supported in Azure Table at the entity level as well as for entity groups with the same partition key SimpleDB applies updates atomically only within the scope of a single item
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Windows Azure Table overall is very SimpleDB-like, with some significant differences in the scalability approach Neither service has reached maturity yet, so we may still see enhancements aimed at easing the transition from relational databases It is worth noting that Microsoft also has another database service in the Windows Azure fold Microsoft SQL Azure is a cloud database service with full replication across physical servers, transparent automated backups, and support for the full relational data modelThis technology is based on SQL Server, and it includes support for T-SQL, stored procedures, views, and indexesThis service is intended to enable direct porting of existing SQL-based applications to the Microsoft cloud
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Google App Engine
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App Engine is a service offered by Google that lets you run web applications, written in Java or Python, on Google s infrastructureAs an application-hosting platform,App Engine includes many non-database functions, but the App Engine data store has similarities to SimpleDBThe non-database functions include a number of different services, all of which are available via API callsThe APIs include service calls to Memcached, email, XMPP, and URL fetching App Engine includes an API for data storage based on Google Big Table and in some ways is comparable to SimpleDBAlthough Big Table is not directly accessible to App Engine applications, there is support in the data store API for a number of features not available in SimpleDBThese features include data relations, object mapping, transactions, and a user-defined index for each query App Engine also has a number of restrictions, some of which are similar to SimpleDB restrictions, like query run time By default, the App Engine data store is strongly consistent Once a transaction commits, all subsequent reads will reflect the changes in that transaction It also means that if the primary storage node you are using goes down,App Engine will fail any update attempts you make until a suitable replacement takes overTo alleviate this issue, App Engine has recently added support for the same type of eventual consistency that SimpleDB has had all alongThis move in the direction of SimpleDB gives App Engine apps the same ability as SimpleDB apps to run with strong consistency with option to fall back on eventual consistency to continue with a degraded level of service
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Apache CouchDB is a document database where a self-contained document with metadata is the basic unit of data CouchDB documents, like SimpleDB items, consist of a group of named fields Each document has a unique ID in the same way that each SimpleDB item has a unique item name CouchDB does not use a schema to define or validate documents Different types of documents can be stored in the same database For querying, CouchDB uses a system of JavaScript views and map-reduceThe loosely structured data in CouchDB
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1 Introducing Amazon SimpleDB
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documents is similar to SimpleDB data but does not place limits on the amount of data you can store in each document or on the size of the data fields CouchDB is an open-source product that you install and manage yourself It allows distributed replication among peer servers and has full support for robust clustering CouchDB was designed from the start to handle high levels of concurrency and to maintain high levels of availability It seeks to solve many of the same problems as SimpleDB, but from the standpoint of an open-source product offering rather than a pay-as-you-go service
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Dynamo-Like Products
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Amazon Dynamo is a data store used internally within Amazon that is not available to the publicAmazon has published information about Dynamo that includes design goals, runtime characteristics, and examples of how it is used From the published information, we know that SimpleDB has some things in common with Dynamo, most notably the eventual consistency Since the publication of Dynamo information, a number of distributed key-value stores have been developed that are in the same vein as DynamoThree open-source products that fit into this category are Project Voldemort, Dynomite, and Cassandra Each of these projects takes a different approach to the technology, but when you compare them to SimpleDB, they generally fall into the same categoryThey give you a chance to have highly available key-value access distributed across machinesYou get more control over the servers and the implementation that comes with the maintenance cost of managing the setup and the machines If you are looking for something in this class of data storage, SimpleDB is a likely touch-free hosted option, and these projects are hands-on self-hosted alternatives
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