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DBMS > Amazon DocumentDB vs. Prometheus vs. RethinkDB vs. STSdb vs. Teradata Aster

System Properties Comparison Amazon DocumentDB vs. Prometheus vs. RethinkDB vs. STSdb vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRethinkDB  Xexclude from comparisonSTSdb  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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source Time Series DBMS and monitoring systemDBMS for the Web with a mechanism to push updated query results to applications in realtime.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument storeTime Series DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­documentdbprometheus.iorethinkdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­documentdb/­resourcesprometheus.io/­docsrethinkdb.com/­docs
DeveloperThe Linux Foundation infosince July 2017STS Soft SCTeradata
Initial release20192015200920112005
Current release2.4.1, August 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C#
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
WindowsLinux
Data schemeschema-freeyesschema-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 dateyesNumeric data onlyyes infostring, binary, float, bool, date, geometryyes infoprimitive types and user defined types (classes)yes
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 possiblenoyes infoin Aster File Store
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON API.NET Client APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
TriggersnonoClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding inforange basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoby FederationSource-replica replicationnoneyes 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 methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
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 rolesnoyes infousers and table-level permissionsnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBPrometheusRethinkDBSTSdbTeradata Aster
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