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DBMS > Apache Kylin vs. DolphinDB vs. DuckDB vs. Faircom DB

System Properties Comparison Apache Kylin vs. DolphinDB vs. DuckDB vs. Faircom DB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDolphinDB  Xexclude from comparisonDuckDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.An embeddable, in-process, column-oriented SQL OLAP RDBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score4.46
Rank#81  Overall
#43  Relational DBMS
Score0.31
Rank#298  Overall
#42  Key-value stores
#137  Relational DBMS
Websitekylin.apache.orgwww.dolphindb.comduckdb.orgwww.faircom.com/­products/­faircom-db
Technical documentationkylin.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperApache Software Foundation, originally contributed from eBay IncDolphinDB, IncFairCom Corporation
Initial release2015201820181979
Current release3.1.0, July 2020v2.00.4, January 20220.10, February 2024V12, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoMIT Licensecommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ANSI C, C++
Server operating systemsLinuxLinux
Windows
server-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeyesyesyesschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI SQL Types, JSON, typed binary structures
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageyesyes, ANSI SQL with proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDtunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memory
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsnoFine grained access rights according to SQL-standard with additional protections for files

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More resources
Apache KylinDolphinDBDuckDBFaircom DB infoformerly c-treeACE
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