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DBMS > Ehcache vs. Geode vs. Milvus vs. Quasardb

System Properties Comparison Ehcache vs. Geode vs. Milvus vs. Quasardb

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeode  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries database
Primary database modelKey-value storeKey-value storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score1.99
Rank#133  Overall
#23  Key-value stores
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.ehcache.orggeode.apache.orgmilvus.ioquasar.ai
Technical documentationwww.ehcache.org/­documentationgeode.apache.org/­docsmilvus.io/­docs/­overview.mddoc.quasar.ai/­master
DeveloperTerracotta Inc, owned by Software AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.quasardb
Initial release2009200220192009
Current release3.10.0, March 20221.1, February 20172.3.4, January 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
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 systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes infointeger and binary
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 indexesnononoyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (OQL)noSQL-like query language
APIs and other access methodsJCacheJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyes infoCache Event Listenersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTransient mode
User concepts infoAccess controlnoAccess rights per client and object definableRole based access control and fine grained access rightsCryptographically strong user authentication and audit trail
More information provided by the system vendor
EhcacheGeodeMilvusQuasardb
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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EhcacheGeodeMilvusQuasardb
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