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DBMS > Apache Doris vs. Graphite vs. GridDB vs. IBM Db2 vs. Sphinx

System Properties Comparison Apache Doris vs. Graphite vs. GridDB vs. IBM Db2 vs. Sphinx

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGraphite  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperScalable in-memory time series database optimized for IoT and Big DataCommon in IBM host environments, 2 different versions for host and Windows/LinuxOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBSearch engine
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­graphite-project/­graphite-webgriddb.netwww.ibm.com/­products/­db2sphinxsearch.com
Technical documentationgithub.com/­apache/­doris/­wikigraphite.readthedocs.iodocs.griddb.netwww.ibm.com/­docs/­en/­db2sphinxsearch.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduChris DavisToshiba CorporationIBMSphinx Technologies Inc.
Initial release2017200620131983 infohost version2001
Current release1.2.2, February 20235.1, August 202212.1, October 20163.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C and C++C++
Server operating systemsLinuxLinux
Unix
LinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infonumerical, string, blob, geometry, boolean, timestampyesno
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
Secondary indexesyesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
MySQL client
HTTP API
Sockets
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Proprietary protocol
Supported programming languagesJavaJavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnonoyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes infowith separate tools (MQ, InfoSphere)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per databasefine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DorisGraphiteGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Sphinx
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache DorisGraphiteGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Sphinx
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