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DBMS > Badger vs. BigchainDB vs. IBM Db2 Event Store vs. TigerGraph

System Properties Comparison Badger vs. BigchainDB vs. IBM Db2 Event Store vs. TigerGraph

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed Event Store optimized for Internet of Things use casesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeDocument storeEvent Store
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.ibm.com/­products/­db2-event-storewww.tigergraph.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.ibm.com/­docs/­en/­db2-event-storedocs.tigergraph.com
DeveloperDGraph LabsIBM
Initial release2017201620172017
Current release2.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nononono
Secondary indexesnono
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeSQL-like query language (GSQL)
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnoyesyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDBYes - 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.noyesno
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardRole-based access control

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More resources
BadgerBigchainDBIBM Db2 Event StoreTigerGraph
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