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DBMS > AllegroGraph vs. Apache Druid vs. Geode

System Properties Comparison AllegroGraph vs. Apache Druid vs. Geode

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonGeode  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS
Time Series DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Websiteallegrograph.comdruid.apache.orggeode.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldruid.apache.org/­docs/­latest/­designgeode.apache.org/­docs
DeveloperFranz Inc.Apache Software Foundation and contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release200420122002
Current release8.0, December 202329.0.1, April 20241.1, February 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses available as Gemfire
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyes infoRDF schemasyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL for queryingSQL-like query language (OQL)
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functions
Triggersyesnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, via HDFS, S3 or other storage enginesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights per client and object definable
More information provided by the system vendor
AllegroGraphApache DruidGeode
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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23 January 2024

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

The New Stack Features AllegroGraph v8
2 January 2024

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AllegroGraphApache DruidGeode
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