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DBMS > GBase vs. Hive vs. KeyDB vs. VoltDB

System Properties Comparison GBase vs. Hive vs. KeyDB vs. VoltDB

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHive  Xexclude from comparisonKeyDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.data warehouse software for querying and managing large distributed datasets, built on HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.gbase.cnhive.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.voltdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.keydb.devdocs.voltdb.com
DeveloperGeneral Data Technology Co., Ltd.Apache Software Foundation infoinitially developed by FacebookEQ Alpha Technology Ltd.VoltDB Inc.
Initial release2004201220192010
Current releaseGBase 8a, GBase 8s, GBase 8c3.1.3, April 202211.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD-3Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC++Java, C++
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
OS X infofor development
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.yesno
Secondary indexesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLStandard with numerous extensionsSQL-like DML and DDL statementsnoyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#C++
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceLuaJava
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesAccess rights for users, groups and rolessimple password-based access control and ACLUsers and roles with access to stored procedures

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More resources
GBaseHiveKeyDBVoltDB
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