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DBMS > Cachelot.io vs. EJDB vs. EXASOL vs. Firebase Realtime Database vs. Milvus

System Properties Comparison Cachelot.io vs. EJDB vs. EXASOL vs. Firebase Realtime Database vs. Milvus

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonEJDB  Xexclude from comparisonEXASOL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionIn-memory caching systemEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeDocument storeRelational DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitecachelot.iogithub.com/­Softmotions/­ejdbwww.exasol.comfirebase.google.com/­products/­realtime-databasemilvus.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.exasol.com/­resourcesfirebase.google.com/­docs/­databasemilvus.io/­docs/­overview.md
DeveloperSoftmotionsExasolGoogle infoacquired by Google 2014
Initial release20152012200020122019
Current release2.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGPLv2commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 languageC++CC++, Go
Server operating systemsFreeBSD
Linux
OS X
server-lesshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesVector, 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.nononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsMemcached protocolin-process shared library.Net
JDBC
ODBC
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Lua
Python
R
Java
JavaScript
Objective-C
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionslimited functionality with using 'rules'no
TriggersnonoyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rulesRole based access control and fine grained access rights
More information provided by the system vendor
Cachelot.ioEJDBEXASOLFirebase Realtime DatabaseMilvus
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
Cachelot.ioEJDBEXASOLFirebase Realtime DatabaseMilvus
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