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DBMS > Google BigQuery vs. Hawkular Metrics vs. Hive vs. TerarkDB vs. Tibero

System Properties Comparison Google BigQuery vs. Hawkular Metrics vs. Hive vs. TerarkDB vs. Tibero

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonTerarkDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitecloud.google.com/­bigquerywww.hawkular.orghive.apache.orggithub.com/­bytedance/­terarkdbus.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogleCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookByteDance, originally TerarkTmaxSoft
Initial release20102014201220162003
Current release3.1.3, April 20226, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C and Assembler
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP/JSON APIHTTP RESTJDBC
ODBC
Thrift
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
C++
Java
PHP
Python
C++
Java
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infouser defined functions and integration of map-reducenoPersistent Stored Procedure (PSM)
Triggersnoyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno infoplanned for next version
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Google BigQueryHawkular MetricsHiveTerarkDBTibero
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