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DBMS > Blazegraph vs. Firebase Realtime Database vs. Hypertable vs. IBM Db2 Event Store vs. SQream DB

System Properties Comparison Blazegraph vs. Firebase Realtime Database vs. Hypertable vs. IBM Db2 Event Store vs. SQream DB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  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.Cloud-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 HadoopDistributed Event Store optimized for Internet of Things use casesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Document storeWide column storeEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteblazegraph.comfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storesqream.com
Technical documentationwiki.blazegraph.comfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storedocs.sqream.com
DeveloperBlazegraphGoogle infoacquired by Google 2014Hypertable Inc.IBMSQream Technologies
Initial release20062012200920172017
Current release2.1.5, March 20190.9.8.11, March 20162.02022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesnoyesyes, 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 indexesyesyesrestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLSPARQL is used as query languagenonoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyesuser defined functions in Python
TriggersnoCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelActive-active shard replicationnone
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 configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)yes, based on authentication and database rulesnofine grained access rights according to SQL-standard

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More resources
BlazegraphFirebase Realtime DatabaseHypertableIBM Db2 Event StoreSQream DB
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