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DBMS > Apache Kylin vs. Apache Phoenix vs. Faircom DB vs. ObjectBox vs. TerarkDB

System Properties Comparison Apache Kylin vs. Apache Phoenix vs. Faircom DB vs. ObjectBox vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonObjectBox  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA scale-out RDBMS with evolutionary schema built on Apache HBaseNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Extremely fast embedded database for small devices, IoT and MobileA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Object oriented DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitekylin.apache.orgphoenix.apache.orgwww.faircom.com/­products/­faircom-dbobjectbox.iogithub.com/­bytedance/­terarkdb
Technical documentationkylin.apache.org/­docsphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.objectbox.iobytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationFairCom CorporationObjectBox LimitedByteDance, originally Terark
Initial release20152014197920172016
Current release3.1.0, July 20205.0-HBase2, July 2018 and 4.15-HBase1, December 2019V12, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache License 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++C and C++C++
Server operating systemsLinuxLinux
Unix
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
iOS
Linux
macOS
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyesno
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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyes, ANSI SQL with proprietary extensionsnono
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
Proprietary native APIC++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenone
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).online/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDno
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.noyesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyFine grained access rights according to SQL-standard with additional protections for filesyesno
More information provided by the system vendor
Apache KylinApache PhoenixFaircom DB infoformerly c-treeACEObjectBoxTerarkDB
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13 June 2023

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More resources
Apache KylinApache PhoenixFaircom DB infoformerly c-treeACEObjectBoxTerarkDB
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