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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  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 ScioreAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#96  Overall
#18  Key-value stores
Score0.56
Rank#200  Overall
#34  Key-value stores
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­boltdb/­boltwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.omnisci.com/­latest
DeveloperAmazonDrizzle project, originally started by Brian AkerMapD Technologies, Inc.
Initial release2007201320082016
Current release7.2.4, September 2012V4
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGNU GPLOpen 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 languageGoC++C++ and CUDA
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
Data schemeschema-freeschema-freeyesyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnononono
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMaster-master replication
Master-slave replication
Master-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
noneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDno
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBBoltDBDrizzleOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Global NoSQL Databases Market 2019 Strategic Assessments – Key players include Accumulo, Aerospike, Amazon SimpleDB, Azure Table, Cassandra
24 October 2019, Industry Research Reports

Global NoSQL Databases Market 2019-2026 Growth Ratio Analysis with Top Prominent Players like Accumulo, Aerospike, Amazon SimpleDB, Azure Table, Cassandra
25 October 2019, Global Market Research

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16 April 2009, Yahoo Tech

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14 June 2015, TechTarget

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14 October 2019, Daily Criticism

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15 May 2018, 107.180.56.147

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23 October 2019, Datanami

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25 October 2019, Datanami

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

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