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DBMS > FatDB vs. Heroic vs. IBM Cloudant vs. Kingbase vs. Microsoft Azure Synapse Analytics

System Properties Comparison FatDB vs. Heroic vs. IBM Cloudant vs. Kingbase vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantwww.kingbase.com.cnazure.microsoft.com/­services/­synapse-analytics
Technical documentationspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFatCloudSpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014BeiJing KINGBASE Information technologies inc.Microsoft
Initial release20122014201019992016
Current releaseV8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaErlangC and JavaC++
Server operating systemsWindowshostedLinux
Windows
hosted
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonoyesno
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernonoStandard with numerous extensionsyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languagesC#C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyes infovia applicationsnoView functions (Map-Reduce) in JavaScriptuser defined functionsTransact SQL
Triggersyes infovia applicationsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno 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 datanonono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyes

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More resources
FatDBHeroicIBM CloudantKingbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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