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DBMS > BigObject vs. Geode vs. Kingbase vs. Vitess

System Properties Comparison BigObject vs. Geode vs. Kingbase vs. Vitess

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeode  Xexclude from comparisonKingbase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitebigobject.iogeode.apache.orgwww.kingbase.com.cnvitess.io
Technical documentationdocs.bigobject.iogeode.apache.org/­docsvitess.io/­docs
DeveloperBigObject, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BeiJing KINGBASE Information technologies inc.The Linux Foundation, PlanetScale
Initial release2015200219992013
Current release1.1, February 2017V8.0, August 202115.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)Standard with numerous extensionsyes infowith proprietary extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsyes infoproprietary syntax
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infotable locks or row locks depending on storage engine
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.yesyesyes
User concepts infoAccess controlnoAccess rights per client and object definablefine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
BigObjectGeodeKingbaseVitess
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