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DBMS > Badger vs. Datomic vs. Netezza vs. OrigoDB

System Properties Comparison Badger vs. Datomic vs. Netezza vs. OrigoDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrigoDB  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 durabilityData warehouse and analytics appliance part of IBM PureSystemsA fully ACID in-memory object graph database
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.ibm.com/­products/­netezzaorigodb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comorigodb.com/­docs
DeveloperDGraph LabsCognitectIBMRobert Friberg et al
Initial release2017201220002009 infounder the name LiveDB
Current release1.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux infoincluded in applianceLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Supported programming languagesGoClojure
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesyes
TriggersnoBy using transaction functionsnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoWrite ahead log
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 developmentyes
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptRole based authorization

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More resources
BadgerDatomicNetezza infoAlso called PureData System for Analytics by IBMOrigoDB
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