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DBMS > Amazon SimpleDB vs. Drizzle vs. Kinetica vs. OmniSci

System Properties Comparison Amazon SimpleDB vs. Drizzle vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 ScioreMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.28
Rank#88  Overall
#17  Key-value stores
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.kinetica.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperAmazonDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release2007200820122016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++ and CUDA
Server operating systemshostedFreeBSD
Linux
OS X
LinuxLinux
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBDrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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