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DBMS > Dgraph vs. GridGain vs. JanusGraph vs. KeyDB

System Properties Comparison Dgraph vs. GridGain vs. JanusGraph vs. KeyDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteA 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 protocols
Primary database modelGraph DBMSKey-value store
Relational DBMS
Graph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score0.80
Rank#219  Overall
#31  Key-value stores
Websitedgraph.iowww.gridgain.comjanusgraph.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgdocs.keydb.dev
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusEQ Alpha Technology Ltd.
Initial release2016200720172019
Current releaseGridGain 8.5.10.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.noyesnono
Secondary indexesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
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
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesLua
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph Serversimple password-based access control and ACL

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More resources
DgraphGridGainJanusGraph infosuccessor of TitanKeyDB
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