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DBMS > GeoMesa vs. Memcached vs. Milvus vs. TDengine

System Properties Comparison GeoMesa vs. Memcached vs. Milvus vs. TDengine

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMemcached  Xexclude from comparisonMilvus  Xexclude from comparisonTDengine  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 searchesTime Series DBMS and big data platform
Primary database modelSpatial DBMSKey-value storeVector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.geomesa.orgwww.memcached.orgmilvus.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­memcached/­memcached/­wikimilvus.io/­docs/­overview.mddocs.tdengine.com
DeveloperCCRi and othersDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTDEngine, previously Taos Data
Initial release2014200320192019
Current release5.0.0, May 20241.6.27, May 20242.3.4, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions available
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++, GoC
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesschema-freeyes
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 indexesyesnonono
SQL infoSupport of SQLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocolRESTful HTTP APIJDBC
RESTful 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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnononono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 layeryes
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 rightsyes
More information provided by the system vendor
GeoMesaMemcachedMilvusTDengine
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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