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

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

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Editorial information provided by DB-Engines
Name	GeoMesa  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	STSdb  Xexclude from comparison	WakandaDB  Xexclude from comparison
Description	GeoMesa 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 Server	Key-Value Store with special method for indexing optimized for high performance using a special indexing method	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Spatial DBMS	Relational DBMS	Key-value store	Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.75 Rank #203   Overall #3   Spatial DBMS	Score 21.33 Rank #36   Overall #22   Relational DBMS	Score 0.01 Rank #359   Overall #56   Key-value stores	Score 0.03 Rank #345   Overall #18   Object oriented DBMS
Website	www.geomesa.org	azure.microsoft.com/­services/­synapse-analytics	github.com/­STSSoft/­STSdb4	wakanda.github.io
Technical documentation	www.geomesa.org/­documentation/­stable/­user/­index.html	docs.microsoft.com/­azure/­synapse-analytics		doc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
Developer	CCRi and others	Microsoft	STS Soft SC	Wakanda SAS
Initial release	2014	2016	2011	2012
Current release	3.2.0, April 2021		4.0.8, September 2015	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	Open Source Apache License 2.0	commercial	Open Source GPLv2, commercial license available	Open Source AGPLv3, extended commercial license available
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	Scala	C++	C#	C++, JavaScript
Server operating systems		hosted	Windows	Linux OS X Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes primitive types and user defined types (classes)	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no		no
Secondary indexes	yes	yes	no
SQL Support of SQL	no	yes	no	no
APIs and other access methods		ADO.NET JDBC ODBC	.NET Client API	RESTful HTTP API
Supported programming languages		C# Java PHP	C# Java	JavaScript
Server-side scripts Stored procedures	no	Transact SQL	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	depending on storage layer	Sharding, horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	depending on storage layer	yes	none	none
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	depending on storage layer	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	depending on storage layer			no
User concepts Access control	yes depending on the DBMS used for storage	yes	no	yes
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More resources
	GeoMesa	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	STSdb	WakandaDB
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