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DBMS > Apache Hive vs. ClickHouse vs. GraphDB

System Properties Comparison Apache Hive vs. ClickHouse vs. GraphDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.65
Rank#18  Overall
#12  Relational DBMS
Score18.73
Rank#31  Overall
#19  Relational DBMS
Score2.57
Rank#95  Overall
#7  Graph DBMS
#3  RDF stores
Websitehive.apache.orgclickhouse.comwww.ontotext.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeclickhouse.com/­docsgraphdb.ontotext.com/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookClickhouse Inc.Ontotext
Initial release201220162000
Current release3.1.3, April 2022v24.6.2.17-stable, July 202410.4, October 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourced
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesC++
Java
PHP
Python
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyeswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynonoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.

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More resources
Apache HiveClickHouseGraphDB infoformer name: OWLIM
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