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DBMS > Heroic vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. YTsaurus

System Properties Comparison Heroic vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. YTsaurus

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.15
Rank#323  Overall
#44  Document stores
#47  Key-value stores
Websitegithub.com/­spotify/­heroichsqldb.orgazure.microsoft.com/­services/­synapse-analyticsytsaurus.tech
Technical documentationspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticsytsaurus.tech/­docs/­en
DeveloperSpotifyMicrosoftYandex
Initial release2014200120162023
Current release2.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedUbuntu
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyesyesYQL, an SQL-based language, is supported
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
Java
PHP
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava, SQLTransact SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess Control Lists

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More resources
HeroicHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYTsaurus
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