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DBMS > Amazon SimpleDB vs. Datomic vs. eXtremeDB vs. Hawkular Metrics

System Properties Comparison Amazon SimpleDB vs. Datomic vs. eXtremeDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHawkular Metrics  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 ScioreDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Time Series 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
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.datomic.comwww.mcobject.comwww.hawkular.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonCognitectMcObjectCommunity supported by Red Hat
Initial release2007201220012014
Current release1.0.6735, June 20238.2, 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++Java
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
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.nono infosupport of XML interfaces availableno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLno
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP REST
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsyes infoby defining eventsyes infovia Hawkular Alerting
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 peershorizontal partitioning / shardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infobased on Cassandra
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
Immediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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 developmentyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono
More information provided by the system vendor
Amazon SimpleDBDatomiceXtremeDBHawkular Metrics
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Amazon SimpleDBDatomiceXtremeDBHawkular Metrics
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