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DBMS > FatDB vs. JanusGraph vs. TigerGraph vs. Vitess

System Properties Comparison FatDB vs. JanusGraph vs. TigerGraph vs. Vitess

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTigerGraph  Xexclude from comparisonVitess  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Graph DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitejanusgraph.orgwww.tigergraph.comvitess.io
Technical documentationdocs.janusgraph.orgdocs.tigergraph.comvitess.io/­docs
DeveloperFatCloudLinux Foundation; originally developed as Titan by AureliusThe Linux Foundation, PlanetScale
Initial release2012201720172013
Current release0.6.3, February 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC++Go
Server operating systemsWindowsLinux
OS X
Unix
Windows
LinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like query language (GSQL)yes infowith proprietary extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#Clojure
Java
Python
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsyesyesyes infoproprietary syntax
Triggersyes infovia applicationsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUser authentification and security via Rexster Graph ServerRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
FatDBJanusGraph infosuccessor of TitanTigerGraphVitess
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