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DBMS > GeoMesa vs. Memcached vs. Milvus vs. Oracle Rdb

System Properties Comparison GeoMesa vs. Memcached vs. Milvus vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMemcached  Xexclude from comparisonMilvus  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.In-memory key-value store, originally intended for cachingA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelSpatial DBMSKey-value storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.geomesa.orgwww.memcached.orgmilvus.iowww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­memcached/­memcached/­wikimilvus.io/­docs/­overview.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCCRi and othersDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2014200320191984
Current release4.0.5, February 20241.6.25, March 20242.3.4, January 20247.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD licenseOpen Source infoApache Version 2.0commercial
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 languageScalaCC++, Go
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
HP Open VMS
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoVector, 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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsProprietary protocolRESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing SASL (Simple Authentication and Security Layer) protocolRole based access control and fine grained access rights
More information provided by the system vendor
GeoMesaMemcachedMilvusOracle Rdb
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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