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DBMS > ArcadeDB vs. Ehcache vs. Firebolt vs. Milvus vs. Valentina Server

System Properties Comparison ArcadeDB vs. Ehcache vs. Firebolt vs. Milvus vs. Valentina Server

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonEhcache  Xexclude from comparisonFirebolt  Xexclude from comparisonMilvus  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA widely adopted Java cache with tiered storage optionsHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA DBMS designed for efficient storage of vector data and vector similarity searchesObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value storeRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitearcadedb.comwww.ehcache.orgwww.firebolt.iomilvus.iowww.valentina-db.net
Technical documentationdocs.arcadedb.comwww.ehcache.org/­documentationdocs.firebolt.iomilvus.io/­docs/­overview.mdvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperArcade DataTerracotta Inc, owned by Software AGFirebolt Analytics Inc.Paradigma Software
Initial release20212009202020191999
Current releaseSeptember 20213.10.0, March 20222.4.4, May 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 languageJavaJavaC++, Go
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nonono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoyesnoyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JCache.Net
ODBC
RESTful HTTP API
RESTful HTTP APIODBC
Supported programming languagesJavaJavaGo
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby using Terracotta Serverdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
ArcadeDBEhcacheFireboltMilvusValentina Server
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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ArcadeDBEhcacheFireboltMilvusValentina Server
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