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DBMS > Apache Kylin vs. Databend vs. Faircom DB vs. HugeGraph

System Properties Comparison Apache Kylin vs. Databend vs. Faircom DB vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabend  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitekylin.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.faircom.com/­products/­faircom-dbgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationkylin.apache.org/­docsdocs.databend.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhugegraph.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncDatabend LabsFairCom CorporationBaidu
Initial release2015202119792018
Current release3.1.0, July 20201.0.59, April 2023V12, November 20200.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustANSI C, C++Java
Server operating systemsLinuxhosted
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Unix
Data schemeyesyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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 indexesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Groovy
Java
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobs
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayestunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesFine grained access rights according to SQL-standard with additional protections for filesUsers, roles and permissions

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More resources
Apache KylinDatabendFaircom DB infoformerly c-treeACEHugeGraph
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