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DBMS > Apache Kylin vs. Faircom DB vs. Realm vs. TerminusDB vs. YottaDB

System Properties Comparison Apache Kylin vs. Faircom DB vs. Realm vs. TerminusDB vs. YottaDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRealm  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeGraph DBMSKey-value store
Secondary database modelsDocument store
RDF store
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitekylin.apache.orgwww.faircom.com/­products/­faircom-dbrealm.ioterminusdb.comyottadb.com
Technical documentationkylin.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlrealm.io/­docsterminusdb.github.io/­terminusdb/­#yottadb.com/­resources/­documentation
DeveloperApache Software Foundation, originally contributed from eBay IncFairCom CorporationRealm, acquired by MongoDB in May 2019DataChemist Ltd.YottaDB, LLC
Initial release20151979201420182001
Current release3.1.0, July 2020V12, November 202011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen SourceOpen Source infoGPL V3Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++Prolog, RustC
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Backend: server-less
iOS
Windows
LinuxDocker
Linux
Data schemeyesschema free, schema optional, schema required, partial schema,yesyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes, ANSI SQL with proprietary extensionsnoSQL-like query language (WOQL)by using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++no inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneGraph 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).noneJournaling Streamsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
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 integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesyesRole-based access controlUsers and groups based on OS-security mechanisms

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More resources
Apache KylinFaircom DB infoformerly c-treeACERealmTerminusDB infoformer name was DataChemistYottaDB
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