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DBMS > Apache Doris vs. Prometheus vs. RisingWave vs. RRDtool vs. Splice Machine

System Properties Comparison Apache Doris vs. Prometheus vs. RisingWave vs. RRDtool vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonPrometheus  Xexclude from comparisonRisingWave  Xexclude from comparisonRRDtool  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source Time Series DBMS and monitoring systemA distributed RDBMS for stream processing, wire-compatible with PostgreSQLIndustry 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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
prometheus.iowww.risingwave.com/­databaseoss.oetiker.ch/­rrdtoolsplicemachine.com
Technical documentationgithub.com/­apache/­doris/­wikiprometheus.io/­docsdocs.risingwave.com/­docs/­current/­introoss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from BaiduRisingWave LabsTobias OetikerSplice Machine
Initial release20172015202219992014
Current release1.2.2, February 20231.2, September 20231.8.0, 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license available
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 languageJavaGoRustC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxLinux
Windows
Docker
Linux
macOS
HP-UX
Linux
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyStandard SQL-types and JSONNumeric 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.nono infoImport of XML data possiblenono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsJDBC
MySQL client
RESTful HTTP/JSON APIJDBC
PostgreSQL wire protocol
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoUDFs in Python or Javanoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynonenoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)
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.nonoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and RolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisPrometheusRisingWaveRRDtoolSplice Machine
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