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DBMS > Badger vs. Bangdb vs. Datomic vs. Ingres vs. OrientDB

System Properties Comparison Badger vs. Bangdb vs. Datomic vs. Ingres vs. OrientDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonIngres  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWell established RDBMSMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitegithub.com/­dgraph-io/­badgerbangdb.comwww.datomic.comwww.actian.com/­databases/­ingresorientdb.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comdocs.datomic.comdocs.actian.com/­ingreswww.orientdb.com/­docs/­last/­index.html
DeveloperDGraph LabsSachin Sinha, BangDBCognitectActian CorporationOrientDB LTD; CallidusCloud; SAP
Initial release2017201220121974 infooriginally developed at University Berkely in early 1970s2010
Current releaseBangDB 2.0, October 20211.0.6735, June 202311.2, May 20223.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3commercial infolimited edition freecommercialOpen 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 languageGoC, C++Java, ClojureCJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLnoSQL like support with command line toolnoyesSQL-like query language, no joins
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGoC
C#
C++
Java
Python
Clojure
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoTransaction FunctionsyesJava, Javascript
Triggersnoyes, Notifications (with Streaming only)By using transaction functionsyesHooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peershorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersIngres ReplicatorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes inforecommended only for testing and developmentno
User concepts infoAccess controlnoyes (enterprise version only)nofine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
BadgerBangdbDatomicIngresOrientDB
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