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DBMS > GeoMesa vs. HarperDB vs. Milvus vs. Trafodion

System Properties Comparison GeoMesa vs. HarperDB vs. Milvus vs. Trafodion

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A DBMS designed for efficient storage of vector data and vector similarity searchesTransactional SQL-on-Hadoop DBMS
Primary database modelSpatial DBMSDocument storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitewww.geomesa.orgwww.harperdb.iomilvus.iotrafodion.apache.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.mdtrafodion.apache.org/­documentation.html
DeveloperCCRi and othersHarperDBApache Software Foundation, originally developed by HP
Initial release2014201720192014
Current release5.0.0, May 20243.1, August 20212.4.4, May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
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 languageScalaNode.jsC++, GoC++, Java
Server operating systemsLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesVector, 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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoyes
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infothe nodes on which a table resides can be definedyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyBounded 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 datanoAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users and rolesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaHarperDBMilvusTrafodion
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
GeoMesaHarperDBMilvusTrafodion
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Vector databases
2 June 2023, Matthias Gelbmann

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