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DBMS > AllegroGraph vs. Elasticsearch vs. eXtremeDB vs. Graphite vs. Memcached

System Properties Comparison AllegroGraph vs. Elasticsearch vs. eXtremeDB vs. Graphite vs. Memcached

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonElasticsearch  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGraphite  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA 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 metricNatively in-memory DBMS with options for persistency, high-availability and clusteringData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperIn-memory key-value store, originally intended for caching
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector 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
Score132.83
Rank#7  Overall
#1  Search engines
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websiteallegrograph.comwww.elastic.co/­elasticsearchwww.mcobject.comgithub.com/­graphite-project/­graphite-webwww.memcached.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.mcobject.com/­docs/­extremedb.htmgraphite.readthedocs.iogithub.com/­memcached/­memcached/­wiki
DeveloperFranz Inc.ElasticMcObjectChris DavisDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20042010200120062003
Current release8.0, December 20238.6, January 20238.2, 20211.6.27, May 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0Open Source infoBSD license
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 languageJavaC and C++PythonC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Unix
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyes infoRDF schemasschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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 infosupport of XML interfaces availableno
Secondary indexesyesyes infoAll search fields are automatically indexedyesnono
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyes infowith the option: eXtremeSQLnono
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Sockets
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesyesnono
Triggersyesyes infoby using the 'percolation' featureyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning / shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
nonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
AllegroGraphElasticsearcheXtremeDBGraphiteMemcached
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
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