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DBMS > Amazon SimpleDB vs. Hawkular Metrics vs. searchxml vs. Spark SQL vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Hawkular Metrics vs. searchxml vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeTime Series DBMSNative XML DBMS
Search engine
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­simpledbwww.hawkular.orgwww.searchxml.net/­category/­productsspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonCommunity supported by Red Hatinformationpartners gmbhApache Software FoundationSTS Soft SC
Initial release20072014201520142011
Current release1.03.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC#
Server operating systemshostedLinux
OS X
Windows
WindowsLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyes infoAll columns are indexed automaticallynoyesnono
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIHTTP RESTRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyes infoon the application servernono
Triggersnoyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infobased on Cassandranoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infosychronisation to multiple collectionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnomultiple readers, single writernono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noDomain, group and role-based access control at the document level and for application servicesnono

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More resources
Amazon SimpleDBHawkular MetricssearchxmlSpark SQLSTSdb
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