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DBMS > Apache Doris vs. FatDB vs. Google BigQuery vs. Netezza vs. Prometheus

System Properties Comparison Apache Doris vs. FatDB vs. Google BigQuery vs. Netezza vs. Prometheus

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA .NET NoSQL DBMS that can integrate with and extend SQL Server.Large scale data warehouse service with append-only tablesData warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­bigquerywww.ibm.com/­products/­netezzaprometheus.io
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­bigquery/­docsprometheus.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduFatCloudGoogleIBM
Initial release20172012201020002015
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Go
Server operating systemsLinuxWindowshostedLinux infoincluded in applianceLinux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.nonono infoImport of XML data possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesno infoVia inetgration in SQL Serveryesyesno
APIs and other access methodsJDBC
MySQL client
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesJavaC#.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infovia applicationsuser defined functions infoin JavaScriptyesno
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDno
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-standardno infoCan implement custom security layer via applicationsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization conceptno

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