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DBMS > Badger vs. IBM Db2 Event Store vs. Rockset vs. SiriDB

System Properties Comparison Badger vs. IBM Db2 Event Store vs. Rockset vs. SiriDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRockset  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Event Store optimized for Internet of Things use casesA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen Source Time Series DBMS
Primary database modelKey-value storeEvent Store
Time Series DBMS
Document storeTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storerockset.comsiridb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storedocs.rockset.comdocs.siridb.com
DeveloperDGraph LabsIBMRocksetCesbit
Initial release2017201720192017
Current release2.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionhostedLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesdynamic typingyes infoNumeric data
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.nonono infoingestion from XML files supportedno
Secondary indexesnonoall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeRead-only SQL queries, including JOINsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Supported programming languagesGoC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consolesimple rights management via user accounts

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More resources
BadgerIBM Db2 Event StoreRocksetSiriDB
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