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DBMS > Amazon SimpleDB vs. Dragonfly vs. EsgynDB vs. HBase vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. Dragonfly vs. EsgynDB vs. HBase vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDragonfly  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonQuasardb  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 instanceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, high-performance timeseries database
Primary database modelKey-value storeKey-value storeRelational DBMSWide column storeTime Series DBMS
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cnhbase.apache.orgquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbwww.dragonflydb.io/­docshbase.apache.org/­book.htmldoc.quasar.ai/­master
DeveloperAmazonDragonflyDB team and community contributorsEsgynApache Software Foundation infoApache top-level project, originally developed by Powersetquasardb
Initial release20072023201520082009
Current release1.0, March 20232.3.4, January 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJavaC++
Server operating systemshostedLinuxLinuxLinux
Unix
Windows infousing Cygwin
BSD
Linux
OS X
Windows
Data schemeschema-freescheme-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesoptions to bring your own types, AVROyes infointeger and binary
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallynoyesnoyes infowith tags
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HTTP API
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
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuaJava Stored Proceduresyes infoCoprocessors in Javano
Triggersnopublish/subscribe channels provide some trigger functionalitynoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
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 scriptsACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
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-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACCryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBDragonflyEsgynDBHBaseQuasardb
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