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DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. WakandaDB vs. YTsaurus

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. WakandaDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparisonYTsaurus  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 ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataYTsaurus is an open source platform for distributed storage and processing.
Primary database modelSpatial DBMSRelational DBMSObject oriented DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswakanda.github.ioytsaurus.tech
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­docytsaurus.tech/­docs/­en
DeveloperCCRi and othersMicrosoftWakanda SASYandex
Initial release2014201620122023
Current release4.0.5, February 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++, JavaScriptC++
Server operating systemshostedLinux
OS X
Windows
Ubuntu
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes
SQL infoSupport of SQLnoyesnoYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
PHP
JavaScriptC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoTransact SQLyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesyesAccess Control Lists

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More resources
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDBYTsaurus
DB-Engines blog posts

Spatial database management systems
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