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DBMS > AllegroGraph vs. Atos Standard Common Repository vs. etcd vs. HugeGraph vs. VelocityDB

System Properties Comparison AllegroGraph vs. Atos Standard Common Repository vs. etcd vs. HugeGraph vs. VelocityDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHugeGraph  Xexclude from comparisonVelocityDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed reliable key-value storeA fast-speed and highly-scalable Graph DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Key-value storeGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial 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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
github.com/­hugegraph
hugegraph.apache.org
velocitydb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hugegraph.apache.org/­docsvelocitydb.com/­UserGuide
DeveloperFranz Inc.Atos Convergence CreatorsBaiduVelocityDB Inc
Initial release2004201620182011
Current release8.0, December 202317033.4, August 20190.97.x
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
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 languageJavaGoJavaC#
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Unix
Any that supports .NET
Data schemeyes infoRDF schemasSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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 possibleyesnonono
Secondary indexesyesyesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSPARQL is used as query languagenononono
APIs and other access methodsRESTful HTTP API
SPARQL
LDAPgRPC
JSON over HTTP
Java API
RESTful HTTP API
TinkerPop Gremlin
.Net
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Groovy
Java
Python
.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoasynchronous Gremlin script jobsno
Triggersyesyesyes, watching key changesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
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.noyesnoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationnoUsers, roles and permissionsBased on Windows Authentication
More information provided by the system vendor
AllegroGraphAtos Standard Common RepositoryetcdHugeGraphVelocityDB
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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More resources
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