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DBMS > AllegroGraph vs. Badger vs. Cloudflare Workers KV vs. Datomic vs. Percona Server for MongoDB

System Properties Comparison AllegroGraph vs. Badger vs. Cloudflare Workers KV vs. Datomic vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBadger  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeKey-value storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websiteallegrograph.comgithub.com/­dgraph-io/­badgerwww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.cloudflare.com/­kv/­apidocs.datomic.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperFranz Inc.DGraph LabsCloudflareCognitectPercona
Initial release20042017201820122015
Current release8.0, December 20231.0.7075, December 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercialcommercial infolimited edition freeOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMLinux
Data schemeyes infoRDF schemasschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes
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.no infobulk load of XML files possiblenononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenononono
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
GoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoyes infoTransaction FunctionsJavaScript
TriggersyesnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes inforecommended only for testing and developmentyes infovia In-Memory Engine
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoAccess rights for users and roles
More information provided by the system vendor
AllegroGraphBadgerCloudflare Workers KVDatomicPercona Server for MongoDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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