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DBMS > CouchDB vs. Graph Engine vs. LevelDB vs. TypeDB

System Properties Comparison CouchDB vs. Graph Engine vs. LevelDB vs. TypeDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLevelDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelDocument storeGraph DBMS
Key-value store
Key-value storeGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitecouchdb.apache.orgwww.graphengine.iogithub.com/­google/­leveldbtypedb.com
Technical documentationdocs.couchdb.org/­en/­stablewww.graphengine.io/­docs/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtypedb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftGoogleVaticle
Initial release2005201020112016
Current release3.3.3, December 20231.23, February 20212.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMIT LicenseOpen Source infoBSDOpen 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 languageErlang.NET and CC++Java
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
.NETIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesyes infovia viewsnoyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
F#
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptyesnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioningnoneno
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenonoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databasenoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Graph Engine infoformer name: TrinityLevelDBTypeDB 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...
» more

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Graph Engine infoformer name: TrinityLevelDBTypeDB infoformerly named Grakn
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