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DBMS > Amazon SimpleDB vs. Titan vs. Trafodion vs. VoltDB

System Properties Comparison Amazon SimpleDB vs. Titan vs. Trafodion vs. VoltDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparisonVoltDB  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Apache Trafodion has been retired in 2021. Therefore it is excluded 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 ScioreTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­thinkaurelius/­titantrafodion.apache.orgwww.voltdb.com
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.htmldocs.voltdb.com
DeveloperAmazonAurelius, owned by DataStaxApache Software Foundation, originally developed by HPVoltDB Inc.
Initial release2007201220142010
Current release2.3.0, February 201911.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0Open Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava, C++
Server operating systemshostedLinux
OS X
Unix
Windows
LinuxLinux
OS X infofor development
Data schemeschema-freeyesyesyes
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.no
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnonoyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesJava Stored ProceduresJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes infovia pluggable storage backendsShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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Amazon SimpleDBTitanTrafodionVoltDB
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