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DBMS > GeoMesa vs. GridDB vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics

System Properties Comparison GeoMesa vs. GridDB vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonHawkular Metrics  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.Scalable in-memory time series database optimized for IoT and Big DataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelSpatial DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.geomesa.orggriddb.netwww.hawkular.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analytics
DeveloperCCRi and othersToshiba CorporationCommunity supported by Red HatMicrosoft
Initial release2014201320142016
Current release4.0.5, February 20245.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++JavaC++
Server operating systemsLinuxLinux
OS X
Windows
hosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnononoTransact SQL
Triggersnoyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infobased on CassandraSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono 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 datanoACID at container levelnoACID
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 layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per databasenoyes
More information provided by the system vendor
GeoMesaGridDBHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GeoMesaGridDBHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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