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DBMS > Badger vs. Datomic vs. MaxDB vs. OrientDB vs. VoltDB

System Properties Comparison Badger vs. Datomic vs. MaxDB vs. OrientDB vs. VoltDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonOrientDB  Xexclude from comparisonVoltDB  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 durabilityA robust and reliable RDBMS optimized to run all major SAP solutionsMulti-model DBMS (Document, Graph, Key/Value)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational 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
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.commaxdb.sap.comorientdb.orgwww.voltdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.commaxdb.sap.com/­documentationwww.orientdb.com/­docs/­last/­index.htmldocs.voltdb.com
DeveloperDGraph LabsCognitectSAP, acquired from Software AG (Adabas-D) in 1997OrientDB LTD; CallidusCloud; SAPVoltDB Inc.
Initial release20172012198420102010
Current release1.0.6735, June 20237.9.10.12, February 20243.2.29, March 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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, ClojureC++JavaJava, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X infofor development
Data schemeschema-freeyesyesschema-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 datenoyesyesyesyes
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
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like query language, no joinsyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
WebDAV
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGoClojure
Java
.Net
C#
Java
Perl
PHP
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsyesJava, JavascriptJava
TriggersnoBy using transaction functionsyesHooksno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSource-replica replicationMulti-source replicationMulti-source replication
Source-replica 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoSnapshots and command logging
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 controlnonofine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableUsers and roles with access to stored procedures

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More resources
BadgerDatomicMaxDB infoformerly named Adabas-DOrientDBVoltDB
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