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DBMS > AllegroGraph vs. Databend vs. Drizzle vs. HugeGraph

System Properties Comparison AllegroGraph vs. Databend vs. Drizzle vs. HugeGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSGraph 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteallegrograph.comgithub.com/­datafuselabs/­databend
www.databend.com
github.com/­hugegraph
hugegraph.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databend.comhugegraph.apache.org/­docs
DeveloperFranz Inc.Databend LabsDrizzle project, originally started by Brian AkerBaidu
Initial release2004202120082018
Current release8.0, December 20231.0.59, April 20237.2.4, September 20120.9
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Java
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
FreeBSD
Linux
OS X
Linux
macOS
Unix
Data schemeyes infoRDF schemasyesyesyes
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 possiblenono
Secondary indexesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSPARQL is used as query languageyesyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
JDBC
RESTful HTTP API
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
Groovy
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoasynchronous Gremlin script jobs
Triggersyesnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions
More information provided by the system vendor
AllegroGraphDatabendDrizzleHugeGraph
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

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

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

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