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DBMS > Badger vs. Blazegraph vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database

System Properties Comparison Badger vs. Blazegraph vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBlazegraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed Event Store optimized for Internet of Things use casesDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value storeGraph DBMS
RDF store
Event Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerblazegraph.comwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwiki.blazegraph.comwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDGraph LabsBlazegraphIBMMicrosoft
Initial release2017200620172010
Current release2.1.5, March 20192.0V12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoextended commercial license availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes 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.nonoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSPARQL is used as query languageyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesTransact SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesActive-active shard replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - 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.noyes
User concepts infoAccess controlnoSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BadgerBlazegraphIBM Db2 Event StoreMicrosoft Azure SQL Database infoformerly SQL Azure
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