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DBMS > Apache Doris vs. eXtremeDB vs. Riak KV vs. RRDtool

System Properties Comparison Apache Doris vs. eXtremeDB vs. Riak KV vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisoneXtremeDB  Xexclude from comparisonRiak KV  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolNatively in-memory DBMS with options for persistency, high-availability and clusteringDistributed, fault tolerant key-value storeIndustry 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 DBMSRelational DBMS
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.mcobject.comoss.oetiker.ch/­rrdtool
Technical documentationgithub.com/­apache/­doris/­wikiwww.mcobject.com/­docs/­extremedb.htmwww.tiot.jp/­riak-docs/­riak/­kv/­latestoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation, originally contributed from BaiduMcObjectOpenSource, formerly Basho TechnologiesTobias Oetiker
Initial release2017200120091999
Current release1.2.2, February 20238.2, 20213.2.0, December 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2, commercial enterprise editionOpen 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 languageJavaC and C++ErlangC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
HP-UX
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoNumeric 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.nono infosupport of XML interfaces availablenono infoExporting into and restoring from XML files possible
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLnono
APIs and other access methodsJDBC
MySQL client
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
in-process shared library
Pipes
Supported programming languagesJava.Net
C
C#
C++
Java
Lua
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
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 functionsyesErlangno
Triggersnoyes infoby defining eventsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning / shardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes 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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Securityno

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More resources
Apache DoriseXtremeDBRiak KVRRDtool
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