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DBMS > AllegroGraph vs. BigchainDB vs. Brytlyt vs. Drizzle

System Properties Comparison AllegroGraph vs. BigchainDB vs. Brytlyt vs. Drizzle

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  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 DBMSBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSRelational 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
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Websiteallegrograph.comwww.bigchaindb.combrytlyt.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.io
DeveloperFranz Inc.BrytlytDrizzle project, originally started by Brian Aker
Initial release2004201620162008
Current release8.0, December 20235.0, August 20237.2.4, September 2012
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL v3commercialOpen Source infoGNU GPL
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 languagePythonC, C++ and CUDAC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 possiblenoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin PL/pgSQLno
Triggersyesyesno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTP
More information provided by the system vendor
AllegroGraphBigchainDBBrytlytDrizzle
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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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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