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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfinityDB  Xexclude from comparisonRethinkDB  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 casesA Java embedded Key-Value Store which extends the Java Map interfaceDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Key-value storeDocument store
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
Score0.07
Rank#359  Overall
#54  Key-value stores
Score2.84
Rank#106  Overall
#19  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.ibm.com/­products/­db2-event-storeboilerbay.comrethinkdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storeboilerbay.com/­infinitydb/­manualrethinkdb.com/­docs
DeveloperDGraph LabsCognitectIBMBoiler Bay Inc.The Linux Foundation infosince July 2017
Initial release20172012201720022009
Current release1.0.6735, June 20232.04.02.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC and C++JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infostring, binary, float, bool, date, geometry
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
Secondary indexesnoyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenono
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesGoClojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaC 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
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsnonoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersActive-active shard replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes infoMVCC based
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 developmentyesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnoyes infousers and table-level permissions

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More resources
BadgerDatomicIBM Db2 Event StoreInfinityDBRethinkDB
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