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DBMS > AgensGraph vs. Geode vs. JanusGraph vs. Solr

System Properties Comparison AgensGraph vs. Geode vs. JanusGraph vs. Solr

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeode  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Key-value storeGraph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphgeode.apache.orgjanusgraph.orgsolr.apache.org
Technical documentationbitnine.net/­documentationgeode.apache.org/­docsdocs.janusgraph.orgsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Linux Foundation; originally developed as Titan by AureliusApache Software Foundation
Initial release2016200220172006
Current release2.1, December 20181.1, February 20170.6.3, February 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query language (OQL)noSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
Java Client API
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Clojure
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesJava plugins
Triggersnoyes infoCache Event Listenersyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginespark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableUser authentification and security via Rexster Graph Serveryes

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More resources
AgensGraphGeodeJanusGraph infosuccessor of TitanSolr
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