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DBMS > Apache Kylin vs. BigchainDB vs. Faircom DB vs. Realm vs. Tigris

System Properties Comparison Apache Kylin vs. BigchainDB vs. Faircom DB vs. Realm vs. Tigris

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBigchainDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRealm  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsNative 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 DataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Document storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitekylin.apache.orgwww.bigchaindb.comwww.faircom.com/­products/­faircom-dbrealm.iowww.tigrisdata.com
Technical documentationkylin.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlrealm.io/­docswww.tigrisdata.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncFairCom CorporationRealm, acquired by MongoDB in May 2019Tigris Data, Inc.
Initial release20152016197920142022
Current release3.1.0, July 2020V12, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infoRestricted, free version availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonANSI C, C++
Server operating systemsLinuxLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Backend: server-less
iOS
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes, ANSI SQL with proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++no inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).noneyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDBYes, tunable from durable to delayed durability to in-memoryyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlyesFine grained access rights according to SQL-standard with additional protections for filesyesAccess rights for users and roles

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Apache KylinBigchainDBFaircom DB infoformerly c-treeACERealmTigris
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