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DBMS > AllegroGraph vs. BigchainDB vs. FileMaker vs. Heroic vs. Splice Machine

System Properties Comparison AllegroGraph vs. BigchainDB vs. FileMaker vs. Heroic vs. Splice Machine

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial 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
#8  Vector DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteallegrograph.comwww.bigchaindb.comwww.claris.com/­filemakergithub.com/­spotify/­heroicsplicemachine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbigchaindb.readthedocs.io/­en/­latestwww.claris.com/­resources/­documentationspotify.github.io/­heroicsplicemachine.com/­how-it-works
DeveloperFranz Inc.Claris infoa subsidiary of AppleSpotifySplice Machine
Initial release20042016198320142014
Current release8.0, December 202319.4.1, November 20213.1, March 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
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 languagePythonJavaJava
Server operating systemsLinux
OS X
Windows
LinuxiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infovia pluginsnoyes
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
PHPC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnoyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyessimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphBigchainDBFileMakerHeroicSplice Machine
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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