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DBMS > Apache Phoenix vs. Ehcache vs. Milvus vs. Quasardb vs. Valentina Server

System Properties Comparison Apache Phoenix vs. Ehcache vs. Milvus vs. Quasardb vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEhcache  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted Java cache with tiered storage optionsA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries databaseObject-relational database and reports server
Primary database modelRelational DBMSKey-value storeVector DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitephoenix.apache.orgwww.ehcache.orgmilvus.ioquasar.aiwww.valentina-db.net
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationmilvus.io/­docs/­overview.mddoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGquasardbParadigma Software
Initial release20142009201920091999
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 20222.3.4, January 20243.14.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageJavaJavaC++, GoC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes infointeger and binaryyes
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 indexesyesnonoyes infowith tagsyes
SQL infoSupport of SQLyesnonoSQL-like query languageyes
APIs and other access methodsJDBCJCacheRESTful HTTP APIHTTP APIODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnononoyes
Triggersnoyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTransient modeyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixEhcacheMilvusQuasardbValentina 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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More resources
Apache PhoenixEhcacheMilvusQuasardbValentina Server
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