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DBMS > GeoMesa vs. Milvus vs. Newts vs. PlanetScale vs. STSdb

System Properties Comparison GeoMesa vs. Milvus vs. Newts vs. PlanetScale vs. STSdb

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonPlanetScale  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraScalable, distributed, serverless MySQL database platform built on top of VitessKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSpatial DBMSVector DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.geomesa.orgmilvus.ioopennms.github.io/­newtsplanetscale.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikiplanetscale.com/­docs
DeveloperCCRi and othersOpenNMS GroupPlanetScaleSTS Soft SC
Initial release20142019201420202011
Current release4.0.5, February 20242.3.4, January 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
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 languageScalaC++, GoJavaGoC#
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnonoyesno
SQL infoSupport of SQLnononoyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP APIHTTP REST
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
Server-side scripts infoStored proceduresnononoyes infoproprietary syntaxno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesnoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsnoUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
GeoMesaMilvusNewtsPlanetScaleSTSdb
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
GeoMesaMilvusNewtsPlanetScaleSTSdb
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