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DBMS > Amazon SimpleDB vs. DolphinDB vs. EsgynDB vs. Sphinx

System Properties Comparison Amazon SimpleDB vs. DolphinDB vs. EsgynDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonSphinx  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 ScioreDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeTime Series DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­simpledbwww.dolphindb.comwww.esgyn.cnsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmlsphinxsearch.com/­docs
DeveloperAmazonDolphinDB, IncEsgynSphinx Technologies Inc.
Initial release2007201820152001
Current releasev2.00.4, January 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoGPL version 2, commercial licence 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++, JavaC++
Server operating systemshostedLinux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesno
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 automaticallyyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate 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 applicationyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, Groupsfine grained access rights according to SQL-standardno

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More resources
Amazon SimpleDBDolphinDBEsgynDBSphinx
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Recent citations in the news

New SimpleDB Goodies: Enhanced Select, Larger Result Sets, Mandatory HTTPS | Amazon Web Services
20 May 2009, AWS Blog

Hands-on Tutorial for Getting Started with Amazon SimpleDB
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12 November 2013, TechCrunch

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