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DBMS > HBase vs. Hive vs. TigerGraph vs. Transwarp StellarDB

System Properties Comparison HBase vs. Hive vs. TigerGraph vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHive  Xexclude from comparisonTigerGraph  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA distributed graph DBMS built for enterprise-level graph applications
Primary database modelWide column storeRelational DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitehbase.apache.orghive.apache.orgwww.tigergraph.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookTranswarp
Initial release200820122017
Current release2.3.4, January 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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 indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (GSQL)SQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
OpenCypher
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesRole-based access controlyes

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More resources
HBaseHiveTigerGraphTranswarp StellarDB
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