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DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. Milvus vs. SpatiaLite vs. WakandaDB

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

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonSpatiaLite  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesSpatial extension of SQLiteWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMSVector DBMSSpatial DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Score1.98
Rank#140  Overall
#3  Spatial DBMS
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.gaia-gis.it/­fossil/­libspatialite/­indexwakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwakanda.github.io/­doc
DeveloperCCRi and othersMicrosoftAlessandro FurieriWakanda SAS
Initial release20142016201920082012
Current release4.0.5, February 20242.3.4, January 20245.0.0, August 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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++C++, GoC++C++, JavaScript
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-lessLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyesyes
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.nonononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoTransact SQLnonoyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesnonenone
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 integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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 layeryesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesRole based access control and fine grained access rightsnoyes
More information provided by the system vendor
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusSpatiaLiteWakandaDB
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
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusSpatiaLiteWakandaDB
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