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DBMS > Apache Doris vs. HarperDB vs. RRDtool vs. YottaDB

System Properties Comparison Apache Doris vs. HarperDB vs. RRDtool vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHarperDB  Xexclude from comparisonRRDtool  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Industry 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.A fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.harperdb.iooss.oetiker.ch/­rrdtoolyottadb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.harperdb.io/­docsoss.oetiker.ch/­rrdtool/­docyottadb.com/­resources/­documentation
DeveloperApache Software Foundation, originally contributed from BaiduHarperDBTobias OetikerYottaDB, LLC
Initial release2017201719992001
Current release1.2.2, February 20233.1, August 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC infoImplementations in Java (e.g. RRD4J) and C# availableC
Server operating systemsLinuxLinux
OS X
HP-UX
Linux
Docker
Linux
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesNumeric data onlyno
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoby using the Octo plugin
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
in-process shared library
Pipes
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJava.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definednoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes, using LMDByesyes
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 for users and rolesnoUsers and groups based on OS-security mechanisms

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More resources
Apache DorisHarperDBRRDtoolYottaDB
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