DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Sqrrl

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Sqrrl

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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	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Sqrrl  Xexclude from comparison
				Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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	Low-cost RDBMS with access to ISAM and FoxPro data structures	Adaptable, secure NoSQL built on Apache Accumulo
Primary database model	Spatial DBMS	Relational DBMS	Relational DBMS	Document store Graph DBMS Key-value store Wide column store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.75 Rank #204   Overall #3   Spatial DBMS	Score 21.62 Rank #36   Overall #22   Relational DBMS	Score 3.59 Rank #92   Overall #48   Relational DBMS
Website	www.geomesa.org	azure.microsoft.com/­services/­synapse-analytics	www.sap.com/­products/­advantage-database-server.html	sqrrl.com
Technical documentation	www.geomesa.org/­documentation/­stable/­user/­index.html	docs.microsoft.com/­azure/­synapse-analytics
Developer	CCRi and others	Microsoft	Sybase, SAP	Amazon originally Sqrrl Data, Inc.
Initial release	2014	2016	1993	2012
Current release	3.2.0, April 2021
License Commercial or Open Source	Open Source Apache License 2.0	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	Scala	C++		Java
Server operating systems		hosted	Linux Windows	Linux
Data scheme	yes	yes	yes	schema-free
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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes	yes	no
APIs and other access methods		ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB	Accumulo Shell Java API JDBC ODBC RESTful HTTP API Thrift
Supported programming languages		C# Java PHP	Delphi Perl PHP	Actionscript C using GLib C# C++ Cocoa Delphi Erlang Go Haskell Java JavaScript OCaml Perl PHP Python Ruby Smalltalk
Server-side scripts Stored procedures	no	Transact SQL	yes	no
Triggers	no	no	yes	no
Partitioning methods Methods for storing different data on different nodes	depending on storage layer	Sharding, horizontal partitioning	none	Sharding making use of Hadoop
Replication methods Methods for redundantly storing data on multiple nodes	depending on storage layer	yes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	selectable replication factor making use of Hadoop
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	depending on storage layer	Immediate Consistency	Immediate Consistency	Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	Atomic updates per row, document, or graph entity
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 caching of (temporary) tables can be configured
User concepts Access control	yes depending on the DBMS used for storage	yes	fine grained access rights according to SQL-standard	Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
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More resources
	GeoMesa	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS	Sqrrl
DB-Engines blog posts	Spatial database management systems 6 April 2021, Matthias Gelbmann show all