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DBMS > AllegroGraph vs. Apache Drill vs. BigObject vs. Graph Engine

System Properties Comparison AllegroGraph vs. Apache Drill vs. BigObject vs. Graph Engine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonBigObject  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for real-time computations and queriesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedGraph DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Websiteallegrograph.comdrill.apache.orgbigobject.iowww.graphengine.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldrill.apache.org/­docsdocs.bigobject.iowww.graphengine.io/­docs/­manual
DeveloperFranz Inc.Apache Software FoundationBigObject, Inc.Microsoft
Initial release2004201220152010
Current release8.0, December 20231.20.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
.NET
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsLuayes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnonenone
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDepending on the underlying data sourceno
More information provided by the system vendor
AllegroGraphApache DrillBigObjectGraph Engine infoformer name: Trinity
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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