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DBMS > Amazon Neptune vs. BigchainDB vs. EsgynDB

System Properties Comparison Amazon Neptune vs. BigchainDB vs. EsgynDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigchainDB  Xexclude from comparisonEsgynDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Websiteaws.amazon.com/­neptunewww.bigchaindb.comwww.esgyn.cn
Technical documentationaws.amazon.com/­neptune/­developer-resourcesbigchaindb.readthedocs.io/­en/­latest
DeveloperAmazonEsgyn
Initial release201720162015
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++, Java
Server operating systemshostedLinuxLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
SQL infoSupport of SQLnonoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
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.selectable replication factorMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneBigchainDBEsgynDB
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