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DBMS > AllegroGraph vs. Apache Impala vs. OrigoDB vs. Prometheus

System Properties Comparison AllegroGraph vs. Apache Impala vs. OrigoDB vs. Prometheus

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for HadoopA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSDocument store
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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteallegrograph.comimpala.apache.orgorigodb.comprometheus.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlorigodb.com/­docsprometheus.io/­docs
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaRobert Friberg et al
Initial release200420132009 infounder the name LiveDB2015
Current release8.0, December 20234.1.0, June 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Go
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
Windows
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsNumeric data only
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 possiblenono infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceyesno
Triggersyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistencynone
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole based authorizationno
More information provided by the system vendor
AllegroGraphApache ImpalaOrigoDBPrometheus
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
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