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DBMS > Dgraph vs. IRONdb vs. Milvus vs. RRDtool

System Properties Comparison Dgraph vs. IRONdb vs. Milvus vs. RRDtool

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonIRONdb  Xexclude from comparisonMilvus  Xexclude from comparisonRRDtool  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS designed for efficient storage of vector data and vector similarity searchesIndustry 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 modelGraph DBMSTime Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitedgraph.iowww.circonus.com/solutions/time-series-database/milvus.iooss.oetiker.ch/­rrdtool
Technical documentationdgraph.io/­docsdocs.circonus.com/irondb/category/getting-startedmilvus.io/­docs/­overview.mdoss.oetiker.ch/­rrdtool/­doc
DeveloperDgraph Labs, Inc.Circonus LLC.Tobias Oetiker
Initial release2016201720191999
Current releaseV0.10.20, January 20182.3.4, January 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoC and C++C++, GoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
HP-UX
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsVector, Numeric and StringNumeric 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 indexesyesnonono
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP APIRESTful HTTP APIin-process shared library
Pipes
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
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
Server-side scripts infoStored proceduresnoyes, in Luanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesnoRole based access control and fine grained access rightsno
More information provided by the system vendor
DgraphIRONdbMilvusRRDtool
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
DgraphIRONdbMilvusRRDtool
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