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DBMS > Ehcache vs. Milvus vs. Quasardb vs. Valentina Server vs. Warp 10

System Properties Comparison Ehcache vs. Milvus vs. Quasardb vs. Valentina Server vs. Warp 10

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA 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 serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeVector DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.ehcache.orgmilvus.ioquasar.aiwww.valentina-db.netwww.warp10.io
Technical documentationwww.ehcache.org/­documentationmilvus.io/­docs/­overview.mddoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperTerracotta Inc, owned by Software AGquasardbParadigma SoftwareSenX
Initial release20092019200919992015
Current release3.10.0, March 20222.3.4, January 20243.14.1, January 20245.7.5
License infoCommercial or Open SourceOpen 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 licensescommercialOpen Source infoApache License 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 languageJavaC++, GoC++Java
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infointeger and binaryyesyes
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 indexesnonoyes infowith tagsyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsJCacheRESTful HTTP APIHTTP APIODBCHTTP API
Jupyter
WebSocket
Supported programming languagesJavaC++
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 proceduresnononoyesyes infoWarpScript
Triggersyes infoCache Event Listenersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
EhcacheMilvusQuasardbValentina ServerWarp 10
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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EhcacheMilvusQuasardbValentina ServerWarp 10
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