DBMS > H2GIS vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

System Properties Comparison H2GIS vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Name	H2GIS  Xexclude from comparison	Heroic  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison
Description	Spatial extension of H2	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Distributed Event Store optimized for Internet of Things use cases	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database model	Spatial DBMS	Time Series DBMS	Event Store Time Series 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 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	www.h2gis.org	github.com/­spotify/­heroic	www.ibm.com/­products/­db2-event-store	azure.microsoft.com/­services/­synapse-analytics
Technical documentation	www.h2gis.org/­docs/­home	spotify.github.io/­heroic	www.ibm.com/­docs/­en/­db2-event-store	docs.microsoft.com/­azure/­synapse-analytics
Developer	CNRS	Spotify	IBM	Microsoft
Initial release	2013	2014	2017	2016
Current release			2.0
License Commercial or Open Source	Open Source LGPL 3.0	Open Source Apache 2.0	commercial free developer edition available	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
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Implementation language	Java	Java	C and C++	C++
Server operating systems			Linux Linux, macOS, Windows for the developer addition	hosted
Data scheme	yes	schema-free	yes	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 via Elasticsearch	no	yes
SQL Support of SQL	yes	no	yes through the embedded Spark runtime	yes
APIs and other access methods		HQL (Heroic Query Language, a JSON-based language) HTTP API	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	ADO.NET JDBC ODBC
Supported programming languages	Java		C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C# Java PHP
Server-side scripts Stored procedures	yes based on H2	no	yes	Transact SQL
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding	Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes based on H2	yes	Active-active shard replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency	Eventual 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
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes
User concepts Access control	yes based on H2		fine grained access rights according to SQL-standard	yes
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More resources
	H2GIS	Heroic	IBM Db2 Event Store	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse
Recent citations in the news		Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google News	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, IBM How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro provided by Google News	Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek Azure Synapse Link for Cosmos DB: New Analytics Capabilities 10 November 2023, InfoQ.com provided by Google News

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