DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. Oracle Rdb vs. WakandaDB

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. Oracle Rdb 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	Oracle Rdb  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		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	Relational DBMS	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 1.18 Rank #161   Overall #75   Relational DBMS	Score 0.03 Rank #345   Overall #18   Object oriented DBMS
Website	www.geomesa.org	azure.microsoft.com/­services/­synapse-analytics	www.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html	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	Oracle, originally developed by Digital Equipment Corporation (DEC)	Wakanda SAS
Initial release	2014	2016	1984	2012
Current release	3.2.0, April 2021		7.4.1.1, 2021	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	Open Source Apache License 2.0	commercial	commercial	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++, JavaScript
Server operating systems		hosted	HP Open VMS	Linux OS X Windows
Data scheme	yes	yes	Flexible Schema (defined schema, partial schema, schema free)	yes
Typing predefined data types such as float or date	yes	yes	yes	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	no
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes	yes	no
APIs and other access methods		ADO.NET JDBC ODBC		RESTful HTTP API
Supported programming languages		C# Java PHP		JavaScript
Server-side scripts Stored procedures	no	Transact SQL		yes
Triggers	no	no		yes
Partitioning methods Methods for storing different data on different nodes	depending on storage layer	Sharding, horizontal partitioning		none
Replication methods Methods for redundantly storing data on multiple nodes	depending on storage layer	yes		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	Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	yes, on a single node	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	no
User concepts Access control	yes depending on the DBMS used for storage	yes		yes
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More resources
	GeoMesa	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Oracle Rdb	WakandaDB
DB-Engines blog posts	Spatial database management systems 6 April 2021, Matthias Gelbmann show all