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DBMS > Amazon Neptune vs. Dgraph vs. EsgynDB vs. KeyDB vs. NuoDB

System Properties Comparison Amazon Neptune vs. Dgraph vs. EsgynDB vs. KeyDB vs. NuoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonKeyDB  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMSKey-value 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
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.80
Rank#219  Overall
#31  Key-value stores
Score0.99
Rank#195  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­neptunedgraph.iowww.esgyn.cngithub.com/­Snapchat/­KeyDB
keydb.dev
www.3ds.com/­nuodb-distributed-sql-database
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docsdocs.keydb.devdoc.nuodb.com
DeveloperAmazonDgraph Labs, Inc.EsgynEQ Alpha Technology Ltd.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20172016201520192013
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSD-3commercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonononono
Secondary indexesnoyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored ProceduresLuaJava, SQL
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
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.Synchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesfine grained access rights according to SQL-standardsimple password-based access control and ACLStandard SQL roles/ privileges, Administrative Users

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More resources
Amazon NeptuneDgraphEsgynDBKeyDBNuoDB
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