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DBMS > Amazon SimpleDB vs. Datomic vs. Prometheus vs. Ultipa

System Properties Comparison Amazon SimpleDB vs. Datomic vs. Prometheus vs. Ultipa

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatomic  Xexclude from comparisonPrometheus  Xexclude from comparisonUltipa  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 durabilityOpen-source Time Series DBMS and monitoring systemHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelKey-value storeRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteaws.amazon.com/­simpledbwww.datomic.comprometheus.iowww.ultipa.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.datomic.comprometheus.io/­docswww.ultipa.com/­document
DeveloperAmazonCognitectUltipa
Initial release2007201220152019
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, ClojureGo
Server operating systemshostedAll OS with a Java VMLinux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
TriggersnoBy using transaction functionsno
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
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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