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DBMS > Amazon Neptune vs. JanusGraph vs. openGemini vs. Solr vs. TimesTen

System Properties Comparison Amazon Neptune vs. JanusGraph vs. openGemini vs. Solr vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonopenGemini  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
RDF store
Graph DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­neptunejanusgraph.orgwww.opengemini.org
github.com/­openGemini
solr.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.janusgraph.orgdocs.opengemini.org/­guidesolr.apache.org/­resources.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonLinux Foundation; originally developed as Titan by AureliusHuawei and openGemini communityApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20172017202220061998
Current release0.6.3, February 20231.1, July 20239.6.1, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyes infosupports customizable data types and automatic typingyes
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 indexesnoyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP RESTJava API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesnoJava pluginsPL/SQL
Triggersnoyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingShardingnone
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.yesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User authentification and security via Rexster Graph ServerAdministrators and common users accountsyesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneJanusGraph infosuccessor of TitanopenGeminiSolrTimesTen
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