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DBMS > Blueflood vs. Milvus vs. Riak KV vs. VictoriaMetrics

System Properties Comparison Blueflood vs. Milvus vs. Riak KV vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMilvus  Xexclude from comparisonRiak KV  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, fault tolerant key-value storeA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSVector DBMSKey-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
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteblueflood.iomilvus.iovictoriametrics.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikimilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRackspaceOpenSource, formerly Basho TechnologiesVictoriaMetrics
Initial release2013201920092018
Current release2.3.4, January 20243.2.0, December 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0
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 languageJavaC++, GoErlangGo
Server operating systemsLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
FreeBSD
Linux
macOS
OpenBSD
Data schemepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringno
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
Secondary indexesnonorestricted
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP RESTRESTful HTTP APIHTTP API
Native Erlang Interface
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresnonoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlnoRole based access control and fine grained access rightsyes, using Riak Security
More information provided by the system vendor
BluefloodMilvusRiak KVVictoriaMetrics
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
BluefloodMilvusRiak KVVictoriaMetrics
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