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DBMS > Amazon SimpleDB vs. DolphinDB vs. HugeGraph vs. Lovefield vs. RDF4J

System Properties Comparison Amazon SimpleDB vs. DolphinDB vs. HugeGraph vs. Lovefield vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.A fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeTime Series DBMSGraph DBMSRelational DBMSRDF store
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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­simpledbwww.dolphindb.comgithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldrdf4j.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmlhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperAmazonDolphinDB, IncBaiduGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20072018201820142004
Current releasev2.00.4, January 20220.92.1.12, February 2017
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptJava
Server operating systemshostedLinux
Windows
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Groovy
Java
Python
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnoyesasynchronous Gremlin script jobsnoyes
TriggersnononoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, GroupsUsers, roles and permissionsnono

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More resources
Amazon SimpleDBDolphinDBHugeGraphLovefieldRDF4J infoformerly known as Sesame
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