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DBMS > Apache Doris vs. Faircom EDGE vs. Netezza vs. Prometheus vs. Typesense

System Properties Comparison Apache Doris vs. Faircom EDGE vs. Netezza vs. Prometheus vs. Typesense

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsData warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring systemA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
www.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­netezzaprometheus.iotypesense.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlprometheus.io/­docstypesense.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduFairCom CorporationIBM
Initial release20171979200020152015
Current release1.2.2, February 2023V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++GoC++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux infoincluded in applianceLinux
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesNumeric 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.noyesno infoImport of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesyesnono
APIs and other access methodsJDBC
MySQL client
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++yesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyes infoby FederationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization conceptno

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More resources
Apache DorisFaircom EDGE infoformerly c-treeEDGENetezza infoAlso called PureData System for Analytics by IBMPrometheusTypesense
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