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DBMS > Apache Pinot vs. GBase vs. Microsoft Azure Table Storage vs. Transwarp KunDB

System Properties Comparison Apache Pinot vs. GBase vs. Microsoft Azure Table Storage vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A Wide Column Store for rapid development using massive semi-structured datasetsOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitepinot.apache.orgwww.gbase.cnazure.microsoft.com/­en-us/­services/­storage/­tableswww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.pinot.apache.org
DeveloperApache Software Foundation and contributorsGeneral Data Technology Co., Ltd.MicrosoftTranswarp
Initial release201520042012
Current release1.0.0, September 2023GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, Python
Server operating systemsAll OS with a Java JDK11 or higherLinuxhosted
Data schemeyesyesschema-freeyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyes
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesAccess rights based on private key authentication or shared access signaturesyes

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More resources
Apache PinotGBaseMicrosoft Azure Table StorageTranswarp KunDB
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