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DBMS > Ehcache vs. Faircom EDGE vs. Microsoft Azure AI Search vs. Milvus

System Properties Comparison Ehcache vs. Faircom EDGE vs. Microsoft Azure AI Search vs. Milvus

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSearch-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeKey-value store
Relational DBMS
Search engineVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitewww.ehcache.orgwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­en-us/­services/­searchmilvus.io
Technical documentationwww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmllearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.md
DeveloperTerracotta Inc, owned by Software AGFairCom CorporationMicrosoft
Initial release2009197920152019
Current release3.10.0, March 2022V3, October 2020V12.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaANSI C, C++C++, Go
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesVector, Numeric and String
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 indexesnoyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesnono
APIs and other access methodsJCacheADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API
Supported programming languagesJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nono
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes 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.yesyesnoyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing Azure authenticationRole based access control and fine grained access rights
More information provided by the system vendor
EhcacheFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure AI SearchMilvus
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
EhcacheFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure AI SearchMilvus
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