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DBMS > BigObject vs. Kingbase vs. PieCloudDB vs. PostgreSQL

System Properties Comparison BigObject vs. Kingbase vs. PieCloudDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonKingbase  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A cloud-native analytic database platform with new technologoy for elastic MPPWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitebigobject.iowww.kingbase.com.cnwww.openpie.comwww.postgresql.org
Technical documentationdocs.bigobject.iowww.postgresql.org/­docs
DeveloperBigObject, Inc.BeiJing KINGBASE Information technologies inc.OpenPiePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201519991989 info1989: Postgres, 1996: PostgreSQL
Current releaseV8.0, August 20212.1, January 202316.3, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsyesyes infostandard with numerous extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
CLI Client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
PL/SQL
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningyespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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 controlnofine grained access rights according to SQL-standardUser Roles and pluggable authentication with full SQL Standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectKingbasePieCloudDBPostgreSQL
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
BigObjectKingbasePieCloudDBPostgreSQL
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