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

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

Editorial information provided by DB-Engines
Name	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	TempoIQ formerly TempoDB  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.	TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
Description	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	Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database model	Time Series DBMS	Document store Object oriented DBMS	Relational DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.46 Rank #265   Overall #22   Time Series DBMS		Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	github.com/­spotify/­heroic	jsqldb.org (offline)	azure.microsoft.com/­services/­synapse-analytics	www.sap.com/products/advantage-database-server.html	tempoiq.com (offline)
Technical documentation	spotify.github.io/­heroic		docs.microsoft.com/­azure/­synapse-analytics
Developer	Spotify	Konrad von Backstrom	Microsoft	Sybase, SAP	TempoIQ
Initial release	2014	2018	2016	1993	2012
Current release		0.8, December 2018
License Commercial or Open Source	Open Source Apache 2.0	Open Source	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C++
Server operating systems		Linux macOS Windows	hosted	Linux Windows
Data scheme	schema-free	schema-free	yes	yes	schema-free
Typing predefined data types such as float or date	yes	no	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	no
Secondary indexes	yes via Elasticsearch	no	yes	yes
SQL Support of SQL	no	no	yes	yes	no
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	HTTP API
Supported programming languages		JavaScript	C# Java PHP	Delphi Perl PHP	C# Java JavaScript Node.js Python Ruby
Server-side scripts Stored procedures	no	functions in JavaScript	Transact SQL	yes	no
Triggers	no	no	no	yes	yes Realtime Alerts
Partitioning methods Methods for storing different data on different nodes	Sharding	none	Sharding, horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	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	Eventual Consistency Immediate Consistency		Immediate 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	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no		ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes		yes	yes	yes
Durability Support for making data persistent	yes	yes using RocksDB	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no			no caching of (temporary) tables can be configured	no
User concepts Access control			yes	fine grained access rights according to SQL-standard	simple authentication-based access control
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More resources
	Heroic	JSqlDb	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	SAP Advantage Database Server former name: Sybase ADS	TempoIQ formerly TempoDB
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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