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DBMS > Apache Kylin vs. Drizzle vs. Faircom DB vs. SQream DB vs. Transwarp StellarDB

System Properties Comparison Apache Kylin vs. Drizzle vs. Faircom DB vs. SQream DB vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSQream DB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 workloadsA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitekylin.apache.orgwww.faircom.com/­products/­faircom-dbsqream.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationkylin.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.sqream.com
DeveloperApache Software Foundation, originally contributed from eBay IncDrizzle project, originally started by Brian AkerFairCom CorporationSQream TechnologiesTranswarp
Initial release2015200819792017
Current release3.1.0, July 20207.2.4, September 2012V12, November 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ANSI C, C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Data schemeyesyesschema 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.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infowith proprietary extensionsyes, ANSI SQL with proprietary extensionsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.Net
JDBC
ODBC
OpenCypher
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal and vertical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, 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 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 datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained access rights according to SQL-standard with additional protections for filesyes

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More resources
Apache KylinDrizzleFaircom DB infoformerly c-treeACESQream DBTranswarp StellarDB
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