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DBMS > Ehcache vs. Kdb vs. Milvus vs. Newts vs. Valentina Server

System Properties Comparison Ehcache vs. Kdb vs. Milvus vs. Newts vs. Valentina Server

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonKdb  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsHigh performance Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraObject-relational database and reports server
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Vector DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
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
Websitewww.ehcache.orgkx.commilvus.ioopennms.github.io/­newtswww.valentina-db.net
Technical documentationwww.ehcache.org/­documentationcode.kx.commilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperTerracotta Inc, owned by Software AGKx Systems, a division of First Derivatives plcOpenNMS GroupParadigma Software
Initial release20092000 infokdb was released 2000, kdb+ in 2003201920141999
Current release3.10.0, March 20223.6, May 20182.3.4, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit versionOpen 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 languageJavaqC++, GoJava
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'nonoyes
SQL infoSupport of SQLnoSQL-like query language (q)nonoyes
APIs and other access methodsJCacheHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIHTTP REST
Java API
ODBC
Supported programming languagesJavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Java.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersyes infoCache Event Listenersyes infowith viewsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioningShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlnorights management via user accountsRole based access control and fine grained access rightsnofine grained access rights according to SQL-standard
More information provided by the system vendor
EhcacheKdbMilvusNewtsValentina Server
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsupon request
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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EhcacheKdbMilvusNewtsValentina Server
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