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DBMS > Badger vs. Datomic vs. NSDb vs. OrientDB vs. Postgres-XL

System Properties Comparison Badger vs. Datomic vs. NSDb vs. OrientDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgres-XL  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 durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comnsdb.ioorientdb.orgwww.postgres-xl.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comnsdb.io/­Architecturewww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentation
DeveloperDGraph LabsCognitectOrientDB LTD; CallidusCloud; SAP
Initial release20172012201720102014 infosince 2012, originally named StormDB
Current release1.0.6735, June 20233.2.29, March 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureJava, ScalaJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
All OS with a Java JDK (>= JDK 6)Linux
macOS
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language, no joinsyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoClojure
Java
Java
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsnoJava, Javascriptuser defined functions
TriggersnoBy using transaction functionsHooksyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyesyes
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 developmentno
User concepts infoAccess controlnonoAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
BadgerDatomicNSDbOrientDBPostgres-XL
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