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DBMS > Heroic vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. mSQL vs. StarRocks

System Properties Comparison Heroic vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. mSQL vs. StarRocks

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServermSQL (Mini SQL) is a simple and lightweight RDBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.marklogic.comazure.microsoft.com/­services/­synapse-analyticshughestech.com.au/­products/­msqlwww.starrocks.io
Technical documentationspotify.github.io/­heroicdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperSpotifyMarkLogic Corp.MicrosoftHughes TechnologiesThe Linux Foundation infosince Feb 2023
Initial release20142001201619942020
Current release11.0, December 20224.4, October 20212.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialcommercial infofree licenses can be providedOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++CC++, Java
Server operating systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptTransact SQLnouser defined functions
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesnoRole based access control and fine grained access rights

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More resources
HeroicMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousemSQL infoMini SQLStarRocks
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