DBMS > EsgynDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenTenBase

System Properties Comparison EsgynDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenTenBase

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Editorial information provided by DB-Engines
Name	EsgynDB  Xexclude from comparison	Heroic  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	OpenTenBase  Xexclude from comparison
Description	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	An enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database model	Relational DBMS	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.08 Rank #370   Overall #156   Relational DBMS
Website	www.esgyn.cn	github.com/­spotify/­heroic	azure.microsoft.com/­services/­synapse-analytics	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org
Technical documentation		spotify.github.io/­heroic	docs.microsoft.com/­azure/­synapse-analytics	docs.opentenbase.org docs.opentenbase.org/­en
Developer	Esgyn	Spotify	Microsoft	OpenAtom Foundation, previously Tencent
Initial release	2015	2014	2016
Current release				2.5, January 2024
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source BSD-3
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++, Java	Java	C++
Server operating systems	Linux		hosted	Linux
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
Secondary indexes	yes	yes via Elasticsearch	yes	yes
SQL Support of SQL	yes	no	yes	yes
APIs and other access methods	ADO.NET JDBC ODBC	HQL (Heroic Query Language, a JSON-based language) HTTP API	ADO.NET JDBC ODBC
Supported programming languages	All languages supporting JDBC/ODBC/ADO.Net		C# Java PHP	C Go Java PHP Python
Server-side scripts Stored procedures	Java Stored Procedures	no	Transact SQL
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding, horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication between multi datacenters	yes	yes	yes
MapReduce Offers an API for user-defined Map/Reduce methods	yes	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 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	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.	no	no
User concepts Access control	fine grained access rights according to SQL-standard		yes	Access rights for users, groups and roles according to SQL-standard
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More resources
	EsgynDB	Heroic	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	OpenTenBase
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

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