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DBMS > Atos Standard Common Repository vs. Milvus vs. TinkerGraph vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. Milvus vs. TinkerGraph vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMilvus  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA DBMS designed for efficient storage of vector data and vector similarity searchesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Vector DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymilvus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvictoriametrics.com
Technical documentationmilvus.io/­docs/­overview.mddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAtos Convergence CreatorsVictoriaMetrics
Initial release2016201920092018
Current release17032.3.4, January 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open 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++, GoJavaGo
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
macOS
OpenBSD
Data schemeSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateoptionalVector, Numeric and Stringyes
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.yesnonono
Secondary indexesyesnono
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPRESTful HTTP APITinkerPop 3Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages with LDAP bindingsC++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
Server-side scripts infoStored proceduresnononono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationRole based access control and fine grained access rightsno
More information provided by the system vendor
Atos Standard Common RepositoryMilvusTinkerGraphVictoriaMetrics
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
Atos Standard Common RepositoryMilvusTinkerGraphVictoriaMetrics
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