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DBMS > HugeGraph vs. PostGIS vs. Tkrzw vs. XTDB

System Properties Comparison HugeGraph vs. PostGIS vs. Tkrzw vs. XTDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPostGIS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSpatial extension of PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSSpatial DBMSKey-value storeDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
postgis.netdbmx.net/­tkrzwgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationhugegraph.apache.org/­docspostgis.net/­documentationwww.xtdb.com/­docs
DeveloperBaiduMikio HirabayashiJuxt Ltd.
Initial release2018200520202019
Current release0.93.4.2, February 20240.9.3, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Clojure
Server operating systemsLinux
macOS
Unix
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, extensible-data-notation format
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 indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
JDBC
Supported programming languagesGroovy
Java
Python
C++
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissionsyes infobased on PostgreSQLno

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More resources
HugeGraphPostGISTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetXTDB infoformerly named Crux
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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