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DBMS > Amazon SimpleDB vs. BigchainDB vs. Datomic vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Datomic vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatomic  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 ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.datomic.com
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.datomic.com
DeveloperAmazonCognitectTeradata
Initial release2007201620122005
Current release1.0.6735, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infolimited edition freecommercial
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 languagePythonJava, Clojure
Server operating systemshostedLinuxAll OS with a Java VMLinux
Data schemeschema-freeschema-freeyesFlexible 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 datenonoyesyes
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 automaticallyyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsR packages
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoBut extensive use of caching in the application peersyes 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 ConsistencyImmediate 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 applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes 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)yesnofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBBigchainDBDatomicTeradata Aster
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