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DBMS > Apache Kylin vs. DataFS vs. Faircom DB vs. SQream DB

System Properties Comparison Apache Kylin vs. DataFS vs. Faircom DB vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDataFS  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSObject oriented DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitekylin.apache.orgnewdatabase.comwww.faircom.com/­products/­faircom-dbsqream.com
Technical documentationkylin.apache.org/­docsdev.mobiland.com/­Overview.xspdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.sqream.com
DeveloperApache Software Foundation, originally contributed from eBay IncMobiland AGFairCom CorporationSQream Technologies
Initial release2015201819792017
Current release3.1.0, July 20201.1.263, October 2022V12, November 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxWindowsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyes, ANSI Standard SQL Types
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 indexesyesnoyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.Net
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functions in Python
Triggersno, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlWindows-ProfileFine grained access rights according to SQL-standard with additional protections for files

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More resources
Apache KylinDataFSFaircom DB infoformerly c-treeACESQream DB
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