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DBMS > AgensGraph vs. IBM Cloudant vs. Quasardb vs. Solr

System Properties Comparison AgensGraph vs. IBM Cloudant vs. Quasardb vs. Solr

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDatabase as a Service offering based on Apache CouchDBDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Document storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#371  Overall
#37  Graph DBMS
#154  Relational DBMS
Score3.85
Rank#94  Overall
#18  Document stores
Score0.18
Rank#325  Overall
#28  Time Series DBMS
Score53.50
Rank#21  Overall
#3  Search engines
Websitebitnine.netwww.ibm.com/­cloud/­cloudantquasardb.netlucene.apache.org/­solr
Technical documentationbitnine.net/­documentationcloud.ibm.com/­docs/­Cloudantdoc.quasar.ai/­masterlucene.apache.org/­solr/­resources.html
DeveloperBitnine Global Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014quasardbApache Software Foundation
Initial release2016201020092006
Current release2.1, December 20183.13.3, April 20229.0.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCErlangC++Java
Server operating systemsLinux
OS X
Windows
hostedBSD
Linux
OS X
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-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyes 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 indexesyesyesyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP/JSON APIHTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptnoJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailyes

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AgensGraphIBM CloudantQuasardbSolr
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