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DBMS > Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. H2 vs. Transwarp Hippo

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. H2 vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonTranswarp Hippo  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeDocument storeTime Series DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.dolphindb.comwww.h2database.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.html
DeveloperAmazonDolphinDB, IncThomas Mueller
Initial release20072016201820052023
Current releasev2.00.4, January 20222.2.220, July 20231.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++JavaC++
Server operating systemshostedLinuxLinux
Windows
All OS with a Java VMLinux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyesVector, Numeric and String
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 automaticallyyesyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
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
JDBC
ODBC
RESTful HTTP API
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
JavaC++
Java
Python
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesWith clustering: 2 database servers on different computers operate on identical copies of a database
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
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, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAdministrators, Users, Groupsfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Amazon SimpleDBBigchainDBDolphinDBH2Transwarp Hippo
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