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DBMS > AllegroGraph vs. Axibase vs. Brytlyt vs. VoltDB

System Properties Comparison AllegroGraph vs. Axibase vs. Brytlyt vs. VoltDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAxibase  Xexclude from comparisonBrytlyt  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational 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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteallegrograph.comaxibase.com/­docs/­atsd/­financebrytlyt.iowww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.brytlyt.iodocs.voltdb.com
DeveloperFranz Inc.Axibase CorporationBrytlytVoltDB Inc.
Initial release2004201320162010
Current release8.0, December 2023155855.0, August 202311.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJava, C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X infofor development
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functions infoin PL/pgSQLJava
Triggersyesyesyesno
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
Source-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
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 authenticationfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphAxibaseBrytlytVoltDB
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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23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
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More resources
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