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DBMS > Amazon Neptune vs. Dgraph vs. EsgynDB vs. Ignite vs. Percona Server for MongoDB

System Properties Comparison Amazon Neptune vs. Dgraph vs. EsgynDB vs. Ignite vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonIgnite  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMSKey-value store
Relational DBMS
Document store
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
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Websiteaws.amazon.com/­neptunedgraph.iowww.esgyn.cnignite.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docsapacheignite.readme.io/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAmazonDgraph Labs, Inc.EsgynApache Software FoundationPercona
Initial release20172016201520152015
Current releaseApache Ignite 2.63.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaC++, Java, .NetC++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyesANSI-99 for query and DML statements, subset of DDLno
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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol using JSON
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++
Java
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)JavaScript
Triggersnononoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding
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 datacentersyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
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-standardSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
Amazon NeptuneDgraphEsgynDBIgnitePercona Server for MongoDB
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