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DBMS > AllegroGraph vs. BigObject vs. FatDB vs. PlanetScale vs. VelocityDB

System Properties Comparison AllegroGraph vs. BigObject vs. FatDB vs. PlanetScale vs. VelocityDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigObject  Xexclude from comparisonFatDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonVelocityDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for real-time computations and queriesA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable, distributed, serverless MySQL database platform built on top of VitessA .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
Relational DBMS infoa hierachical model (tree) can be imposedDocument store
Key-value store
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteallegrograph.combigobject.ioplanetscale.comvelocitydb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bigobject.ioplanetscale.com/­docsvelocitydb.com/­UserGuide
DeveloperFranz Inc.BigObject, Inc.FatCloudPlanetScaleVelocityDB Inc
Initial release20042015201220202011
Current release8.0, December 20237.x
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoC#
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsDocker
Linux
macOS
Any that supports .NET
Data schemeyes infoRDF schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsno infoVia inetgration in SQL Serveryes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP API
SPARQL
fluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
MySQL protocol
ODBC
.Net
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispLuayes infovia applicationsyes infoproprietary syntaxno
Triggersyesnoyes infovia applicationsyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes infotable locks or row locks depending on storage engineyes
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.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnono infoCan implement custom security layer via applicationsUsers with fine-grained authorization concept infono user groups or rolesBased on Windows Authentication
More information provided by the system vendor
AllegroGraphBigObjectFatDBPlanetScaleVelocityDB
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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