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DBMS > Google BigQuery vs. Hive vs. KairosDB vs. TerarkDB

System Properties Comparison Google BigQuery vs. Hive vs. KairosDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2A 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 DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitecloud.google.com/­bigqueryhive.apache.orggithub.com/­kairosdb/­kairosdbgithub.com/­bytedance/­terarkdb
Technical documentationcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.iobytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookByteDance, originally Terark
Initial release2010201220132016
Current release3.1.3, April 20221.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesnoyesnono
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
C++ API
Java API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolessimple password-based access controlno

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More resources
Google BigQueryHiveKairosDBTerarkDB
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