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DBMS > JanusGraph vs. KeyDB vs. OrigoDB vs. TypeDB

System Properties Comparison JanusGraph vs. KeyDB vs. OrigoDB vs. TypeDB

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonKeyDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA fully ACID in-memory object graph databaseTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMSKey-value storeDocument store
Object oriented DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitejanusgraph.orggithub.com/­Snapchat/­KeyDB
keydb.dev
origodb.comtypedb.com
Technical documentationdocs.janusgraph.orgdocs.keydb.devorigodb.com/­docstypedb.com/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusEQ Alpha Technology Ltd.Robert Friberg et alVaticle
Initial release201720192009 infounder the name LiveDB2016
Current release0.6.3, February 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3Open SourceOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#Java
Server operating systemsLinux
OS X
Unix
Windows
LinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol infoRESP - REdis Serialization Protoco.NET Client API
HTTP API
LINQ
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesClojure
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.NetAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesLuayesno
Triggersyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnodepending on modelno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUser authentification and security via Rexster Graph Serversimple password-based access control and ACLRole based authorizationyes infoat REST API level; other APIs in progress
More information provided by the system vendor
JanusGraph infosuccessor of TitanKeyDBOrigoDBTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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More resources
JanusGraph infosuccessor of TitanKeyDBOrigoDBTypeDB infoformerly named Grakn
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