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DBMS > Apache Kylin vs. Crux vs. Faircom DB vs. RavenDB vs. TerarkDB

System Properties Comparison Apache Kylin vs. Crux vs. Faircom DB vs. RavenDB vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCrux  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRavenDB  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 stackCrux is a general purpose database with bitemporal SQL and Datalog and graph queriesNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA 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 DBMSDocument storeKey-value store
Relational DBMS
Document storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#151  Overall
#74  Relational DBMS
Score0.04
Rank#333  Overall
#45  Document stores
Score0.45
Rank#247  Overall
#38  Key-value stores
#117  Relational DBMS
Score3.46
Rank#92  Overall
#16  Document stores
Score0.05
Rank#326  Overall
#51  Key-value stores
Websitekylin.apache.orggithub.com/­juxt/­crux
opencrux.com
www.faircom.com/­products/­faircom-dbravendb.netgithub.com/­Terark/­terarkdb
Technical documentationkylin.apache.org/­docsopencrux.com/­reference/­installation.htmllearn.faircomcorp.com/­developers/­documentation_directoryravendb.net/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncJuxt Ltd.FairCom CorporationHibernating RhinosTerark
Initial release20152019197920102016
Current release3.1.0, July 20201.12.1, September 2020V12, November 20205.2, June 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license availablecommercial inforestricted open source version available
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 languageJavaClojureANSI C, C++C#C++
Server operating systemsLinuxAll OS with a Java 8 (and higher) VM
Linux
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema free, schema optional, schema required, partial schema,schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, extensible-data-notation formatyes, ANSI SQL Types, JSON, typed binary structuresnono
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 indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)limited SQL, making use of Apache Calciteyes, ANSI SQL with proprietary extensionsSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
JDBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
C++ API
Java API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, each node contains all datayes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDBYes, 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.noyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess control on document level using the Authorization Bundleno
More information provided by the system vendor
Apache KylinCruxFaircom DB infoformerly c-treeACERavenDBTerarkDB
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
Apache KylinCruxFaircom DB infoformerly c-treeACERavenDBTerarkDB
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