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DBMS > Citus vs. HugeGraph vs. Teradata Aster vs. Tigris

System Properties Comparison Citus vs. HugeGraph vs. Teradata Aster vs. Tigris

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHugeGraph  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigris  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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 DBMSPlatform for big data analytics on multistructured data sources and typesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSGraph DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
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
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.citusdata.comgithub.com/­hugegraph
hugegraph.apache.org
www.tigrisdata.com
Technical documentationdocs.citusdata.comhugegraph.apache.org/­docswww.tigrisdata.com/­docs
DeveloperBaiduTeradataTigris Data, Inc.
Initial release2010201820052022
Current release8.1, December 20180.9
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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 languageCJava
Server operating systemsLinuxLinux
macOS
Unix
LinuxLinux
macOS
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.yes infospecific XML type available, but no XML query functionalitynoyes infoin Aster File Storeno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
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 jobsR packagesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
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 HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
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 permissionsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
CitusHugeGraphTeradata AsterTigris
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