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DBMS > FatDB vs. Hyprcubd vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison FatDB vs. Hyprcubd vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Serverless Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitehyprcubd.com (offline)spark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudHyprcubd, Inc.Apache Software FoundationTranswarp
Initial release20122014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#GoScala
Server operating systemsWindowshostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (https)JDBC
ODBC
Supported programming languagesC#Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnonoyes
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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 applicationstoken accessnoyes

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More resources
FatDBHyprcubdSpark SQLTranswarp KunDB
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