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DBMS > GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. RRDtool vs. WakandaDB

System Properties Comparison GeoMesa vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. RRDtool vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRRDtool  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMSRelational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.geomesa.orghsqldb.orgazure.microsoft.com/­services/­synapse-analyticsoss.oetiker.ch/­rrdtoolwakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticsoss.oetiker.ch/­rrdtool/­docwakanda.github.io/­doc
DeveloperCCRi and othersMicrosoftTobias OetikerWakanda SAS
Initial release20142001201619992012
Current release5.0.0, May 20242.7.2, June 20231.8.0, 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infobased on BSD licensecommercialOpen Source infoGPL V2 and FLOSSOpen Source infoAGPLv3, extended commercial license available
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 languageScalaJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableC++, JavaScript
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedHP-UX
Linux
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
Java
PHP
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoJava, SQLTransact SQLnoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding, horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
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.depending on storage layeryesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyesnoyes

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More resources
GeoMesaHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRRDtoolWakandaDB
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