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

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

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  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.Embeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.geomesa.orggoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticsplanetscale.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCCRi and othersGoogleMicrosoftPlanetScaleSAP infoformerly Sybase
Initial release20142014201620201992
Current release4.0.5, February 20242.1.12, February 201717, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaScriptC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedDocker
Linux
macOS
AIX
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.nononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptC#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQLyes infoproprietary syntaxyes, in C/C++, Java, .Net or Perl
TriggersnoUsing read-only observersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyesMulti-source replication
Source-replica replication
Source-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infousing MemoryDByesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoyesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
GeoMesaLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScaleSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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