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DBMS > Alibaba Cloud PolarDB vs. AllegroGraph vs. Amazon Neptune vs. GridGain vs. JanusGraph

System Properties Comparison Alibaba Cloud PolarDB vs. AllegroGraph vs. Amazon Neptune vs. GridGain vs. JanusGraph

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonAllegroGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.High performance, persistent RDF store with additional support for Graph DBMSFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitewww.alibabacloud.com/­product/­polardballegrograph.comaws.amazon.com/­neptunewww.gridgain.comjanusgraph.org
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocs.janusgraph.org
DeveloperAlibabaFranz Inc.AmazonGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release2004201720072017
Current release8.0, December 2023GridGain 8.5.10.6.3, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF schemasschema-freeyesyes
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.yesno infobulk load of XML files possiblenoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
SPARQL
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispnoyes (compute grid and cache interceptors can be used instead)yes
Triggersyesyesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith FederationnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-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.yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Alibaba Cloud PolarDBAllegroGraphAmazon NeptuneGridGainJanusGraph infosuccessor of Titan
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AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
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