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DBMS > Apache Doris vs. Microsoft Azure Table Storage vs. Netezza vs. Riak TS vs. Transbase

System Properties Comparison Apache Doris vs. Microsoft Azure Table Storage vs. Netezza vs. Riak TS vs. Transbase

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
azure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzawww.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­apache/­doris/­wikiwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation, originally contributed from BaiduMicrosoftIBMOpen Source, formerly Basho TechnologiesTransaction Software GmbH
Initial release20172012200020151987
Current release1.2.2, February 20233.0.0, September 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Sourcecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC and C++
Server operating systemsLinuxhostedLinux infoincluded in applianceLinux
OS X
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesnoyesrestrictedyes
SQL infoSupport of SQLyesnoyesyes, limitedyes
APIs and other access methodsJDBC
MySQL client
RESTful HTTP APIJDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesErlangyes
Triggersnononoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
Apache DorisMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMRiak TSTransbase
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