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DBMS > Apache Doris vs. FatDB vs. Netezza vs. Prometheus vs. Titan

System Properties Comparison Apache Doris vs. FatDB vs. Netezza vs. Prometheus vs. Titan

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonFatDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonTitan  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA .NET NoSQL DBMS that can integrate with and extend SQL Server.Data warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring systemTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  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
www.ibm.com/­products/­netezzaprometheus.iogithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­apache/­doris/­wikiprometheus.io/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation, originally contributed from BaiduFatCloudIBMAurelius, owned by DataStax
Initial release20172012200020152012
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#GoJava
Server operating systemsLinuxWindowsLinux infoincluded in applianceLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nono infoImport of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL Serveryesnono
APIs and other access methodsJDBC
MySQL client
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaC#C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyes infovia applicationsyesnoyes
Triggersnoyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
noneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptnoUser authentification and security via Rexster Graph Server

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Apache DorisFatDBNetezza infoAlso called PureData System for Analytics by IBMPrometheusTitan
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