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DBMS > Blazegraph vs. Firebase Realtime Database vs. Hive

System Properties Comparison Blazegraph vs. Firebase Realtime Database vs. Hive

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-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.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#235  Overall
#20  Graph DBMS
#8  RDF stores
Score16.35
Rank#38  Overall
#6  Document stores
Score65.81
Rank#18  Overall
#12  Relational DBMS
Websiteblazegraph.comfirebase.google.com/­products/­realtime-databasehive.apache.org
Technical documentationwiki.blazegraph.comfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperBlazegraphGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by Facebook
Initial release200620122012
Current release2.1.5, March 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes 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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduce
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
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
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)yes, based on authentication and database rulesAccess rights for users, groups and roles

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More resources
BlazegraphFirebase Realtime DatabaseHive
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