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DBMS > Citus vs. RDF4J vs. Solr vs. SpatiaLite vs. Sqrrl

System Properties Comparison Citus vs. RDF4J vs. Solr vs. SpatiaLite vs. Sqrrl

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSolr  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A widely used distributed, scalable search engine based on Apache LuceneSpatial extension of SQLiteAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRDF storeSearch engineSpatial DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.citusdata.comrdf4j.orgsolr.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexsqrrl.com
Technical documentationdocs.citusdata.comrdf4j.org/­documentationsolr.apache.org/­resources.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationAlessandro FurieriAmazon infooriginally Sqrrl Data, Inc.
Initial release20102004200620082012
Current release8.1, December 20189.6.1, May 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC++Java
Server operating systemsLinuxLinux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-lessLinux
Data schemeyesyes infoRDF Schemasyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.yes infospecific XML type available, but no XML query functionalityyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSolr Parallel SQL Interfaceyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesJava pluginsnono
Triggersyesyesyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneyesnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedoptimistic lockingACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
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-standardnoyesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
CitusRDF4J infoformerly known as SesameSolrSpatiaLiteSqrrl
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