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DBMS > Axibase vs. BigchainDB vs. Blazegraph vs. Firebase Realtime Database vs. RDFox

System Properties Comparison Axibase vs. BigchainDB vs. Blazegraph vs. Firebase Realtime Database vs. RDFox

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRDFox  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSDocument storeGraph DBMS
RDF store
Document storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaxibase.com/­docs/­atsd/­financewww.bigchaindb.comblazegraph.comfirebase.google.com/­products/­realtime-databasewww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comfirebase.google.com/­docs/­databasedocs.oxfordsemantic.tech
DeveloperAxibase CorporationBlazegraphGoogle infoacquired by Google 2014Oxford Semantic Technologies
Initial release20132016200620122017
Current release155852.1.5, March 20196.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoAGPL v3Open Source infoextended commercial license availablecommercialcommercial
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 languageJavaPythonJavaC++
Server operating systemsLinuxLinuxLinux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnoyes infoRDF literal typesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSPARQL is used as query languagenono
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
JavaScript
Objective-C
C
Java
Server-side scripts infoStored proceduresyesyeslimited functionality with using 'rules'
TriggersyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)yes, based on authentication and database rulesRoles, resources, and access types

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More resources
AxibaseBigchainDBBlazegraphFirebase Realtime DatabaseRDFox
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