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DBMS > Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. LevelDB vs. Oracle Berkeley DB

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. LevelDB vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Berkeley DB  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 ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDolphinDB 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used in-process key-value store
Primary database modelKey-value storeDocument storeTime Series DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.dolphindb.comgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonDolphinDB, IncGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20072016201820111994
Current releasev2.00.4, January 20221.23, February 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community version availableOpen Source infoBSDOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinuxLinux
Windows
Illumos
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesnono
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyesnono
Triggersnononoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAdministrators, Users, Groupsnono

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More resources
Amazon SimpleDBBigchainDBDolphinDBLevelDBOracle Berkeley DB
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