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DBMS > Badger vs. Datomic vs. FeatureBase vs. OrientDB vs. Quasardb

System Properties Comparison Badger vs. Datomic vs. FeatureBase vs. OrientDB vs. Quasardb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonFeatureBase  Xexclude from comparisonOrientDB  Xexclude from comparisonQuasardb  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 durabilityReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Multi-model DBMS (Document, Graph, Key/Value)Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#311  Overall
#46  Key-value stores
Score1.75
Rank#131  Overall
#64  Relational DBMS
Score0.35
Rank#270  Overall
#126  Relational DBMS
Score5.21
Rank#78  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
Score0.07
Rank#330  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.molecula.comorientdb.orgquasardb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.molecula.cloudwww.orientdb.com/­docs/­last/­index.htmldoc.quasar.ai/­master
DeveloperDGraph LabsCognitectMolecula and Pilosa Open Source ContributorsOrientDB LTD; CallidusCloud; SAPquasardb
Initial release20172012201720102009
Current release1.0.6362, January 20222022, May 20223.1.9, February 20213.13.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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, ClojureGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
All OS with a Java JDK (>= JDK 6)BSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infointeger and binary
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 indexesnoyesnoyesyes infowith tags
SQL infoSupport of SQLnonoSQL queriesSQL-like query language, no joinsSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
JDBC
Kafka Connector
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGoClojure
Java
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsJava, Javascriptno
TriggersnoBy using transaction functionsnoHooksno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed querieswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID
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)yes, using Linux fsyncyesyes infoby using LevelDB
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 developmentyesyes infoTransient mode
User concepts infoAccess controlnonoAccess rights for users and roles; record level security configurableCryptographically strong user authentication and audit trail

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More resources
BadgerDatomicFeatureBaseOrientDBQuasardb
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