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DBMS > Apache Doris vs. Geode vs. GridDB vs. RRDtool

System Properties Comparison Apache Doris vs. Geode vs. GridDB vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeode  Xexclude from comparisonGridDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesScalable in-memory time series database optimized for IoT and Big DataIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
geode.apache.orggriddb.netoss.oetiker.ch/­rrdtool
Technical documentationgithub.com/­apache/­doris/­wikigeode.apache.org/­docsdocs.griddb.netoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation, originally contributed from BaiduOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Toshiba CorporationTobias Oetiker
Initial release2017200220131999
Current release1.2.2, February 20231.1, February 20175.1, August 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxHP-UX
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampNumeric 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.nononono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJDBC
MySQL client
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
in-process shared library
Pipes
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency within container, eventual consistency across containersnone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users can be defined per databaseno
More information provided by the system vendor
Apache DorisGeodeGridDBRRDtool
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 DorisGeodeGridDBRRDtool
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