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DBMS > FatDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison FatDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. WakandaDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaleElastic, 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 modelDocument store
Key-value store
Relational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegeospock.comazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperFatCloudGeoSpockMicrosoftWakanda SAS
Initial release201220162012
Current release2.0, September 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, JavascriptC++C++, JavaScript
Server operating systemsWindowshostedhostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)yesno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsnoTransact SQLyes
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datanonoACIDACID
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.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableyesyes

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More resources
FatDBGeoSpockMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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