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

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

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Editorial information provided by DB-Engines
Name	Heroic  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Transwarp ArgoDB  Xexclude from comparison
Description	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	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Time Series DBMS	Event Store Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models				Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	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	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	github.com/­spotify/­heroic	www.ibm.com/­products/­db2-event-store	azure.microsoft.com/­services/­synapse-analytics	www.transwarp.cn/­en/­product/­argodb
Technical documentation	spotify.github.io/­heroic	www.ibm.com/­docs/­en/­db2-event-store	docs.microsoft.com/­azure/­synapse-analytics	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Spotify	IBM	Microsoft	Transwarp
Initial release	2014	2017	2016
Current release		2.0
License Commercial or Open Source	Open Source Apache 2.0	commercial free developer edition available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
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Implementation language	Java	C and C++	C++
Server operating systems		Linux Linux, macOS, Windows for the developer addition	hosted
Data scheme	schema-free	yes	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
Secondary indexes	yes via Elasticsearch	no	yes	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	yes	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		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	no	yes	Transact SQL
Triggers	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Active-active shard replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	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	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	No - written data is immutable	yes	yes
Durability Support for making data persistent	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes
User concepts Access control		fine grained access rights according to SQL-standard	yes
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More resources
	Heroic	IBM Db2 Event Store	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Transwarp ArgoDB
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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