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DBMS > Amazon SimpleDB vs. Datomic vs. Hawkular Metrics vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. Datomic vs. Hawkular Metrics vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatomic  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.datomic.comwww.hawkular.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.datomic.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonCognitectCommunity supported by Red HatTeradata
Initial release2007201220142005
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
Java
Go
Java
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsnoR packages
TriggersnoBy using transaction functionsyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnone infoBut extensive use of caching in the application peersSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandrayes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBDatomicHawkular MetricsTeradata Aster
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