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DBMS > Apache Doris vs. HugeGraph vs. Lovefield vs. Prometheus vs. RRDtool

System Properties Comparison Apache Doris vs. HugeGraph vs. Lovefield vs. Prometheus vs. RRDtool

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonPrometheus  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptOpen-source Time Series DBMS and monitoring systemIndustry 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 DBMSGraph DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldprometheus.iooss.oetiker.ch/­rrdtool
Technical documentationgithub.com/­apache/­doris/­wikihugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdprometheus.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation, originally contributed from BaiduBaiduGoogleTobias Oetiker
Initial release20172018201420151999
Current release1.2.2, February 20230.92.1.12, February 20171.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL V2 and FLOSS
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 languageJavaJavaJavaScriptGoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
HP-UX
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyNumeric 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 infoImport of XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexesyesyes infoalso supports composite index and range indexyesnono
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsJDBC
MySQL client
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIin-process shared library
Pipes
Supported programming languagesJavaGroovy
Java
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
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 functionsasynchronous Gremlin script jobsnonono
TriggersnonoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynonenone
Foreign keys infoReferential integritynoyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnonono

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More resources
Apache DorisHugeGraphLovefieldPrometheusRRDtool
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