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DBMS > Apache Kylin vs. BigchainDB vs. Dgraph vs. Hive vs. Riak KV

System Properties Comparison Apache Kylin vs. BigchainDB vs. Dgraph vs. Hive vs. Riak KV

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonHive  Xexclude from comparisonRiak KV  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 assetsDistributed and scalable native Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, fault tolerant key-value store
Primary database modelRelational DBMSDocument storeGraph DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitekylin.apache.orgwww.bigchaindb.comdgraph.iohive.apache.org
Technical documentationkylin.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.Apache Software Foundation infoinitially developed by FacebookOpenSource, formerly Basho Technologies
Initial release20152016201620122009
Current release3.1.0, July 20203.1.3, April 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonGoJavaErlang
Server operating systemsLinuxLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via Raftselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesno infoPlanned for future releasesAccess rights for users, groups and rolesyes, using Riak Security

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More resources
Apache KylinBigchainDBDgraphHiveRiak KV
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