DBMS > H2GIS vs. Heroic vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

System Properties Comparison H2GIS vs. Heroic vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
Name	H2GIS  Xexclude from comparison	Heroic  Xexclude from comparison	JSqlDb  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
			JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.		SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Spatial extension of H2	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	JavaScript Query Language Database, stores JavaScript objects and primitives	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
Primary database model	Spatial DBMS	Time Series DBMS	Document store Object oriented DBMS	Relational DBMS	Relational DBMS
Secondary database models	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #368   Overall #7   Spatial DBMS	Score 0.46 Rank #265   Overall #22   Time Series DBMS		Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	www.h2gis.org	github.com/­spotify/­heroic	jsqldb.org (offline)	azure.microsoft.com/­services/­synapse-analytics	www.sap.com/products/advantage-database-server.html
Technical documentation	www.h2gis.org/­docs/­home	spotify.github.io/­heroic		docs.microsoft.com/­azure/­synapse-analytics
Developer	CNRS	Spotify	Konrad von Backstrom	Microsoft	Sybase, SAP
Initial release	2013	2014	2018	2016	1993
Current release			0.8, December 2018
License Commercial or Open Source	Open Source LGPL 3.0	Open Source Apache 2.0	Open Source	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		C++
Server operating systems			Linux macOS Windows	hosted	Linux Windows
Data scheme	yes	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	no	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	no
Secondary indexes	yes	yes via Elasticsearch	no	yes	yes
SQL Support of SQL	yes	no	no	yes	yes
APIs and other access methods		HQL (Heroic Query Language, a JSON-based language) HTTP API		ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Java		JavaScript	C# Java PHP	Delphi Perl PHP
Server-side scripts Stored procedures	yes based on H2	no	functions in JavaScript	Transact SQL	yes
Triggers	yes	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding	none	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes based on H2	yes	none	yes	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	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	ACID	no		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes		yes	yes
Durability Support for making data persistent	yes	yes	yes using RocksDB	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no			no caching of (temporary) tables can be configured
User concepts Access control	yes based on H2			yes	fine grained access rights according to SQL-standard
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More resources
	H2GIS	Heroic	JSqlDb	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News		General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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