DBMS > Faircom DB vs. Kyligence Enterprise vs. Sadas Engine vs. Transwarp KunDB

System Properties Comparison Faircom DB vs. Kyligence Enterprise vs. Sadas Engine vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name	Faircom DB formerly c-treeACE  Xexclude from comparison	Kyligence Enterprise  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
Description	Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.	A distributed analytics engine for big data, built on top of Apache Kylin	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Key-value store Relational DBMS	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #304   Overall #43   Key-value stores #136   Relational DBMS	Score 0.46 Rank #266   Overall #124   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	www.faircom.com/­products/­faircom-db	kyligence.io/­kyligence-enterprise	www.sadasengine.com	www.transwarp.cn/­en/­product/­kundb
Technical documentation	docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	FairCom Corporation	Kyligence, Inc.	SADAS s.r.l.	Transwarp
Initial release	1979	2016	2006
Current release	V12, November 2020		8.0
License Commercial or Open Source	commercial Restricted, free version available	commercial	commercial free trial version available	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	ANSI C, C++	Java	C++
Server operating systems	AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs	Linux	AIX Linux Windows
Data scheme	schema free, schema optional, schema required, partial schema,	yes	yes	yes
Typing predefined data types such as float or date	yes, ANSI SQL Types, JSON, typed binary structures	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes, ANSI SQL with proprietary extensions	ANSI SQL for queries (using Apache Calcite)	yes	yes
APIs and other access methods	ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC	JDBC ODBC RESTful HTTP API	JDBC ODBC Proprietary protocol
Supported programming languages	.Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic		.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	yes .Net, JavaScript, C/C++		no	yes
Triggers	yes		no	yes
Partitioning methods Methods for storing different data on different nodes	File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning		horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	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 Offers an API for user-defined Map/Reduce methods	no	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes		yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	tunable from ACID to Eventually Consistent			ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	Yes, tunable from durable to delayed durability to in-memory	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes managed by 'Learn by Usage'
User concepts Access control	Fine grained access rights according to SQL-standard with additional protections for files		Access rights for users, groups and roles according to SQL-standard	yes
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More resources
	Faircom DB formerly c-treeACE	Kyligence Enterprise	Sadas Engine	Transwarp KunDB
Recent citations in the news	FairCom Unveils New Look, FairCom DB v13: Introducing 'DB Made Simple' 4 June 2024, businesswire.com FairCom kicks off new era of database technology USA - English 10 November 2020, PR Newswire provided by Google News	Kyligence Grows OLAP Business in the Cloud 20 February 2020, Datanami Kyligence adds ClickHouse OLAP engine to its analytics platform 10 August 2021, VentureBeat Distributed OLAPer Kyligence accelerates core engine, adds real-time data support – Blocks and Files 10 August 2021, Blocks and Files How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services 9 November 2022, AWS Blog The 10 Hottest Big Data Tools Of 2023 23 November 2023, CRN provided by Google News

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