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DBMS > Amazon Neptune vs. Badger vs. Bangdb vs. BigchainDB vs. dBASE

System Properties Comparison Amazon Neptune vs. Badger vs. Bangdb vs. BigchainDB vs. dBASE

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBadger  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Graph DBMS
Time Series DBMS
Document storeRelational 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­dgraph-io/­badgerbangdb.comwww.bigchaindb.comwww.dbase.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebase
DeveloperAmazonDGraph LabsSachin Sinha, BangDBAsthon Tate
Initial release20172017201220161979
Current releaseBangDB 2.0, October 2021dBASE 2019, 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD 3Open Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++Python
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
LinuxLinuxDOS infodBase Classic
Windows infodBase Pro
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesnonoyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnonoSQL like support with command line toolnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
GoC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE
Server-side scripts infoStored proceduresnononono infoThe IDE can access stored procedures in other database systems.
Triggersnonoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
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.noneselectable replication factor, Knob for CAP (enterprise version only)selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMS
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes (enterprise version only)yesAccess rights for users and roles

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More resources
Amazon NeptuneBadgerBangdbBigchainDBdBASE
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