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DBMS > Cachelot.io vs. EJDB vs. Milvus vs. OpenEdge vs. VictoriaMetrics

System Properties Comparison Cachelot.io vs. EJDB vs. Milvus vs. OpenEdge vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonEJDB  Xexclude from comparisonMilvus  Xexclude from comparisonOpenEdge  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionIn-memory caching systemEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A DBMS designed for efficient storage of vector data and vector similarity searchesApplication development environment with integrated database management systemA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeDocument storeVector DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitecachelot.iogithub.com/­Softmotions/­ejdbmilvus.iowww.progress.com/­openedgevictoriametrics.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdmilvus.io/­docs/­overview.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSoftmotionsProgress Software CorporationVictoriaMetrics
Initial release20152012201919842018
Current release2.4.4, May 2024OpenEdge 12.2, March 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGPLv2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++CC++, GoGo
Server operating systemsFreeBSD
Linux
OS X
server-lessLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idVector, 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.nonoyesno
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes infoclose to SQL 92no
APIs and other access methodsMemcached protocolin-process shared libraryRESTful HTTP APIJDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonoRole based access control and fine grained access rightsUsers and groups
More information provided by the system vendor
Cachelot.ioEJDBMilvusOpenEdgeVictoriaMetrics
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
Cachelot.ioEJDBMilvusOpenEdgeVictoriaMetrics
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