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DBMS > GeoMesa vs. HEAVY.AI vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere

System Properties Comparison GeoMesa vs. HEAVY.AI vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCCRi and othersHEAVY.AI, Inc.GoogleMicrosoftSAP infoformerly Sybase
Initial release20142016201420161992
Current release4.0.5, February 20245.10, January 20222.1.12, February 201717, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++ and CUDAJavaScriptC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
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.nonononoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC#
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoTransact SQLyes, in C/C++, Java, .Net or Perl
TriggersnonoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robinnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationnoneyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes infousing MemoryDByes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoyesfine grained access rights according to SQL-standard

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More resources
GeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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