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DBMS > Citus vs. HugeGraph vs. IRONdb vs. Linter vs. RavenDB

System Properties Comparison Citus vs. HugeGraph vs. IRONdb vs. Linter vs. RavenDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHugeGraph  Xexclude from comparisonIRONdb  Xexclude from comparisonLinter  Xexclude from comparisonRavenDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA fast-speed and highly-scalable Graph DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS for high security requirementsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.citusdata.comgithub.com/­hugegraph
hugegraph.apache.org
www.circonus.com/solutions/time-series-database/linter.ruravendb.net
Technical documentationdocs.citusdata.comhugegraph.apache.org/­docsdocs.circonus.com/irondb/category/getting-startedravendb.net/­docs
DeveloperBaiduCirconus LLC.relex.ruHibernating Rhinos
Initial release20102018201719902010
Current release8.1, December 20180.9V0.10.20, January 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++C and C++C#
Server operating systemsLinuxLinux
macOS
Unix
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesno
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsyes, in Luayes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infodepending on used storage backend, e.g. Cassandra and HBaseconfigurable replication factor, datacenter awareSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnofine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
CitusHugeGraphIRONdbLinterRavenDB
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