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DBMS > AllegroGraph vs. Apache Impala vs. Hive vs. IRONdb

System Properties Comparison AllegroGraph vs. Apache Impala vs. Hive vs. IRONdb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for Hadoopdata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSTime 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteallegrograph.comimpala.apache.orghive.apache.orgwww.circonus.com/solutions/time-series-database/
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-started
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoinitially developed by FacebookCirconus LLC.
Initial release2004201320122017
Current release8.0, December 20234.1.0, June 20223.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMLinux
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCC++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduceyes, in Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorselectable replication factorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 KerberosAccess rights for users, groups and rolesno
More information provided by the system vendor
AllegroGraphApache ImpalaHiveIRONdb
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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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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