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DBMS > Amazon SimpleDB vs. Dragonfly vs. Kingbase vs. Manticore Search

System Properties Comparison Amazon SimpleDB vs. Dragonfly vs. Kingbase vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDragonfly  Xexclude from comparisonKingbase  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Multi-storage database for search, including full-text search.
Primary database modelKey-value storeKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­simpledbgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.kingbase.com.cnmanticoresearch.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.dragonflydb.io/­docsmanual.manticoresearch.com
DeveloperAmazonDragonflyDB team and community contributorsBeiJing KINGBASE Information technologies inc.Manticore Software
Initial release2007202319992017
Current release1.0, March 2023V8.0, August 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and JavaC++
Server operating systemshostedLinuxLinux
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freescheme-freeyesFixed schema
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesCan index from XML
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoStandard with numerous extensionsSQL-like query language
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoLuauser defined functionsuser defined functions
Triggersnopublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSynchronous replication based on Galera library
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
Eventual ConsistencyImmediate 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 applicationAtomic execution of command blocks and scriptsACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Password-based authenticationfine grained access rights according to SQL-standardno

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Amazon SimpleDBDragonflyKingbaseManticore Search
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