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DBMS > GeoMesa vs. GridDB vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison GeoMesa vs. GridDB vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 DataA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSObject oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.geomesa.orggriddb.netwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperCCRi and othersToshiba CorporationInterSystemsMicrosoftWakanda SAS
Initial release20142013199720162012
Current release5.0.1, July 20245.1, August 20222018.1.4, May 20202.7.0 (April 29, 2019), April 2019
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 availablecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
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++C++C++, JavaScript
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresnonoyesTransact SQLyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate 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 datanoACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 storageAccess rights for users can be defined per databaseAccess rights for users, groups and rolesyesyes

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More resources
GeoMesaGridDBInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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