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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Bangdb vs. Oracle Rdb

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Bangdb vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBangdb  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreConverged and high performance database for device data, events, time series, document and graph
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbbangdb.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdocs.bangdb.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAmazonAmazonSachin Sinha, BangDBOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2017200720121984
Current releaseBangDB 2.0, October 20217.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++
Server operating systemshostedhostedLinuxHP Open VMS
Data schemeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyes: string, long, double, int, geospatial, stream, eventsyes
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 indexesnoyes infoAll columns are indexed automaticallyyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnonoSQL like support with command line toolyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIProprietary protocol
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
Server-side scripts infoStored proceduresnonono
Triggersnonoyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)

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More resources
Amazon NeptuneAmazon SimpleDBBangdbOracle Rdb
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