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DBMS > Badger vs. Datomic vs. IBM Db2 Event Store vs. RethinkDB vs. RRDtool

System Properties Comparison Badger vs. Datomic vs. IBM Db2 Event Store vs. RethinkDB vs. RRDtool

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRethinkDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed Event Store optimized for Internet of Things use casesDBMS for the Web with a mechanism to push updated query results to applications in realtime.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.ibm.com/­products/­db2-event-storerethinkdb.comoss.oetiker.ch/­rrdtool
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storerethinkdb.com/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperDGraph LabsCognitectIBMThe Linux Foundation infosince July 2017Tobias Oetiker
Initial release20172012201720091999
Current release1.0.6735, June 20232.02.4.1, August 20201.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial infofree developer edition availableOpen Source infoApache Version 2Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC and C++C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
HP-UX
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infostring, binary, float, bool, date, geometryNumeric data only
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.nonononono infoExporting into and restoring from XML files possible
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenono
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Supported programming languagesGoClojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersActive-active shard replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infoMVCC basedyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes - 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.noyes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardyes infousers and table-level permissionsno

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More resources
BadgerDatomicIBM Db2 Event StoreRethinkDBRRDtool
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