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DBMS > Blazegraph vs. Datomic vs. Firebase Realtime Database vs. Hypertable vs. SQream DB

System Properties Comparison Blazegraph vs. Datomic vs. Firebase Realtime Database vs. Hypertable vs. SQream DB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonSQream DB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as Hadoopa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websiteblazegraph.comwww.datomic.comfirebase.google.com/­products/­realtime-databasesqream.com
Technical documentationwiki.blazegraph.comdocs.datomic.comfirebase.google.com/­docs/­databasedocs.sqream.com
DeveloperBlazegraphCognitectGoogle infoacquired by Google 2014Hypertable Inc.SQream Technologies
Initial release20062012201220092017
Current release2.1.5, March 20191.0.6735, June 20230.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesnoyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSPARQL is used as query languagenononoyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionslimited functionality with using 'rules'nouser defined functions in Python
TriggersnoBy using transaction functionsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noyes, based on authentication and database rulesno

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More resources
BlazegraphDatomicFirebase Realtime DatabaseHypertableSQream DB
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