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

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Time 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 Server
Primary database modelSpatial DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.geomesa.orggithub.com/­spotify/­heroichsqldb.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperCCRi and othersSpotifyMicrosoft
Initial release2014201420012016
Current release4.0.5, February 20242.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaJavaC++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeyesschema-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 indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnonoyesyes
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
Server-side scripts infoStored proceduresnonoJava, SQLTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 datanonoACIDACID
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.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes

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More resources
GeoMesaHeroicHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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