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DBMS > Ehcache vs. GeoMesa vs. HBase vs. Milvus vs. VelocityDB

System Properties Comparison Ehcache vs. GeoMesa vs. HBase vs. Milvus vs. VelocityDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonHBase  Xexclude from comparisonMilvus  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Wide-column store based on Apache Hadoop and on concepts of BigTableA DBMS designed for efficient storage of vector data and vector similarity searchesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeSpatial DBMSWide column storeVector DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.ehcache.orgwww.geomesa.orghbase.apache.orgmilvus.iovelocitydb.com
Technical documentationwww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhbase.apache.org/­book.htmlmilvus.io/­docs/­overview.mdvelocitydb.com/­UserGuide
DeveloperTerracotta Inc, owned by Software AGCCRi and othersApache Software Foundation infoApache top-level project, originally developed by PowersetVelocityDB Inc
Initial release20092014200820192011
Current release3.10.0, March 20224.0.5, February 20242.3.4, January 20212.3.4, January 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache version 2Open Source infoApache Version 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 languageJavaScalaJavaC++, GoC#
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Any that supports .NET
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROVector, Numeric and Stringyes
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.nonononono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsJCacheJava API
RESTful HTTP API
Thrift
RESTful HTTP API.Net
Supported programming languagesJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javanono
Triggersyes infoCache Event ListenersnoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverdepending on storage layerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)depending on storage layerImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesdepending on storage layeryesyesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based access control and fine grained access rightsBased on Windows Authentication
More information provided by the system vendor
EhcacheGeoMesaHBaseMilvusVelocityDB
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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EhcacheGeoMesaHBaseMilvusVelocityDB
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