Introducing Amazon SimpleDB in Java

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1 Introducing Amazon SimpleDB
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the equation when you seek to evaluate databases Unfortunately, for some people, speed is the beginning and the end of the thought process It can be tempting to view any of the new hosted database services as a silver bullet when offered by a mega-company like Microsoft,Amazon, or Google But the fact is that SimpleDB is not going to solve your existing speed issuesThe service exists to solve an entirely different set of problems Reads and writes are not blazingly fastThey are meant to be fast enough It is entirely possible that AWS may increase performance of the service over time, based on user feedback But SimpleDB is never going to be as speedy as a standalone database running on fast hardware SimpleDB has a different purpose Robust database clusters replicating data across multiple data centers is not a data storage solution that is typically easy to throw together It is a time consuming and costly undertaking Even in organizations that have the database administrator (DBA) expertise and are using multiple data centers, it is still time consuming It is costly enough that you would not do it unless there was a quantifiable business need for it SimpleDB offers data storage with these features on a pay-as-you-go basis Of course, taking advantage of these features is not without a downside SimpleDB is a moderately restrictive environment, and it is not suitable for many types of applications There are various restrictions and limitations on how much data can be stored and transferred and how much network bandwidth you can consume
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SimpleDB differs from relational databases where you must define a schema for each database table before you can use it and where you must explicitly change that schema before you can store your data differently In SimpleDB, there is no schema requirement Although you still have to consider the format of your data, this approach has the benefit of freeing you from the time it takes to manage schema modifications The lack of schema means that there are no data types; all data values are treated as variable length character data As a result, there is literally nothing extra to do if you want to add a new field to an existing databaseYou just add the new field to whichever data items require itThere is no rule that forces every data item to have the same fields The drawbacks of a schema-less database include the lack of automatic integrity checking in the database and an increased burden on the application to handle formatting and type conversions Detailed coverage of the impact of schema-less data on queries appears in 4, A Closer Look at Select, along with a discussion of the formatting issues
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Stored Securely in the Cloud
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The data that you store in SimpleDB is available both from the Internet and (with less latency) from EC2The security of that data is of great importance for many applications,
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What Is SimpleDB
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while the security of the underlying web services account should be important to all users To protect that data, all access to SimpleDB, whether read or write, is protected by your account credentials Every request must bear the correct and authorized digital signature or else it is rejected with an error code Security of the account, data transmission, and data storage is the subject of 8, Security in SimpleDB-Based Applications
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Billed Only for Actual Usage
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In keeping with the AWS philosophy of pay-as-you-go, SimpleDB has a pricing structure that includes charges for data storage, data transfer, and processor usageThere are no base fees and there are no minimumsAt the time of this writing,Amazon s monthly billing for SimpleDB has a free usage tier that covers the first gigabyte (GB) of data storage, the first GB of data transfer, and the first 25 hours of processor usage each month Data transfer costs beyond the free tier have historically been on par with S3 pricing, whereas storage costs have always been somewhat higher Consult the AWS website at https://aws amazoncom/simpledb/ for current pricing information
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