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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonIgnite  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 durabilityApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Multi-model DBMS (Document, Graph, Key/Value)Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comignite.apache.orgorientdb.orgquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comapacheignite.readme.io/­docswww.orientdb.com/­docs/­last/­index.htmldoc.quasar.ai/­master
DeveloperDGraph LabsCognitectApache Software FoundationOrientDB LTD; CallidusCloud; SAPquasardb
Initial release20172012201520102009
Current release1.0.6735, June 2023Apache Ignite 2.63.2.29, March 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache 2.0Open 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

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Implementation languageGoJava, ClojureC++, Java, .NetJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
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.nonoyesnono
Secondary indexesnoyesyesyesyes infowith tags
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsSQL-like query language
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGoClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.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 Functionsyes (compute grid and cache interceptors can be used instead)Java, Javascriptno
TriggersnoBy using transaction functionsyes (cache interceptors and events)Hooksno
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 peersyes (replicated cache)Multi-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no infocould be achieved with distributed querieswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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)yesyesyes 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 controlnonoSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurableCryptographically strong user authentication and audit trail

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More resources
BadgerDatomicIgniteOrientDBQuasardb
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