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DBMS > GeoMesa vs. IBM Db2 vs. Microsoft Azure Synapse Analytics vs. Milvus vs. WakandaDB

System Properties Comparison GeoMesa vs. IBM Db2 vs. Microsoft Azure Synapse Analytics vs. Milvus vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Common in IBM host environments, 2 different versions for host and Windows/LinuxElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSVector DBMSObject oriented DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.geomesa.orgwww.ibm.com/­products/­db2azure.microsoft.com/­services/­synapse-analyticsmilvus.iowakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2docs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperCCRi and othersIBMMicrosoftWakanda SAS
Initial release20141983 infohost version201620192012
Current release4.0.5, February 202412.1, October 20162.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree version is availablecommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 and C++C++C++, GoC++, JavaScript
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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 indexesyesyesyesno
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyesTransact SQLnoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoonly with Windows/Unix/Linux VersionSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infowith separate tools (MQ, InfoSphere)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
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 integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyesRole based access control and fine grained access rightsyes
More information provided by the system vendor
GeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusWakandaDB
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
GeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusWakandaDB
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