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DBMS > Apache Doris vs. Ehcache vs. Milvus vs. Newts vs. Valentina Server

System Properties Comparison Apache Doris vs. Ehcache vs. Milvus vs. Newts vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEhcache  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA widely adopted Java cache with tiered storage optionsA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraObject-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
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.ehcache.orgmilvus.ioopennms.github.io/­newtswww.valentina-db.net
Technical documentationgithub.com/­apache/­doris/­wikiwww.ehcache.org/­documentationmilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from BaiduTerracotta Inc, owned by Software AGOpenNMS GroupParadigma Software
Initial release20172009201920141999
Current release1.2.2, February 20233.10.0, March 20222.3.4, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
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++, GoJava
Server operating systemsLinuxAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyesyes
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 indexesyesnononoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBC
MySQL client
JCacheRESTful HTTP APIHTTP REST
Java API
ODBC
Supported programming languagesJavaJavaC++
Go
Java
JavaScript (Node.js)
Python
Java.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 nodeshorizontal partitioningSharding infoby using Terracotta ServerShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serverselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based access control and fine grained access rightsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisEhcacheMilvusNewtsValentina 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 DorisEhcacheMilvusNewtsValentina Server
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