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DBMS > AllegroGraph vs. Apache Druid vs. Elasticsearch vs. GridGain vs. TigerGraph

System Properties Comparison AllegroGraph vs. Apache Druid vs. Elasticsearch vs. GridGain vs. TigerGraph

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonGridGain  Xexclude from comparisonTigerGraph  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 dataA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGridGain is an in-memory computing platform, built on Apache IgniteA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS
Time Series DBMS
Search engineKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector 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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteallegrograph.comdruid.apache.orgwww.elastic.co/­elasticsearchwww.gridgain.comwww.tigergraph.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gridgain.com/­docs/­index.htmldocs.tigergraph.com
DeveloperFranz Inc.Apache Software Foundation and contributorsElasticGridGain Systems, Inc.
Initial release20042012201020072017
Current release8.0, December 202329.0.1, April 20248.6, January 2023GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache license v2Open Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeyes infoRDF schemasyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 possiblenonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL for queryingSQL-like query languageANSI-99 for query and DML statements, subset of DDLSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnoyes infoby using the 'percolation' featureyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, via HDFS, S3 or other storage enginesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoMemcached and Redis integrationyesno
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 systemSecurity Hooks for custom implementationsRole-based access control
More information provided by the system vendor
AllegroGraphApache DruidElasticsearchGridGainTigerGraph
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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