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DBMS > Amazon DynamoDB vs. Amazon Neptune vs. Bangdb vs. OpenMLDB

System Properties Comparison Amazon DynamoDB vs. Amazon Neptune vs. Bangdb vs. OpenMLDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudConverged and high performance database for device data, events, time series, document and graphAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.58
Rank#16  Overall
#3  Document stores
#2  Key-value stores
Score2.12
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score0.07
Rank#347  Overall
#48  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.02
Rank#368  Overall
#38  Time Series DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­neptunebangdb.comopenmldb.ai
Technical documentationdocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comopenmldb.ai/­docs/­zh/­main
DeveloperAmazonAmazonSachin Sinha, BangDB4 Paradigm Inc.
Initial release2012201720122020
Current releaseBangDB 2.0, October 20212024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoBSD 3Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++, Java, Scala
Server operating systemshostedhostedLinuxLinux
Data schemeschema-freeschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesyes: 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 indexesyesnoyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnonoSQL like support with command line toolyes
APIs and other access methodsRESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnononono
Triggersyes infoby integration with AWS Lambdanoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-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.selectable replication factor, Knob for CAP (enterprise version only)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes, 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 modeyes
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)fine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBAmazon NeptuneBangdbOpenMLDB
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