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DBMS > AllegroGraph vs. Bangdb vs. Newts vs. Solr

System Properties Comparison AllegroGraph vs. Bangdb vs. Newts vs. Solr

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBangdb  Xexclude from comparisonNewts  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSConverged and high performance database for device data, events, time series, document and graphTime Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Graph DBMS
Time Series DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteallegrograph.combangdb.comopennms.github.io/­newtssolr.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bangdb.comgithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.html
DeveloperFranz Inc.Sachin Sinha, BangDBOpenNMS GroupApache Software Foundation
Initial release2004201220142006
Current release8.0, December 2023BangDB 2.0, October 20219.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSD 3Open 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 languageC, C++JavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infoRDF schemasschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes 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.no infobulk load of XML files possiblenonoyes
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageSQL like support with command line toolnoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
HTTP REST
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnonoJava plugins
Triggersyesyes, Notifications (with Streaming only)noyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes (enterprise version only)noyes
More information provided by the system vendor
AllegroGraphBangdbNewtsSolr
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

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3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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AllegroGraphBangdbNewtsSolr
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