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DBMS > Google BigQuery vs. Graphite vs. Hive vs. Ignite

System Properties Comparison Google BigQuery vs. Graphite vs. Hive vs. Ignite

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraphite  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisperdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.92
Rank#25  Overall
#16  Relational DBMS
Score5.09
Rank#71  Overall
#4  Time Series DBMS
Score85.58
Rank#14  Overall
#9  Relational DBMS
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-webhive.apache.orgignite.apache.org
Technical documentationcloud.google.com/­bigquery/­docsgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docs
DeveloperGoogleChris DavisApache Software Foundation infoinitially developed by FacebookApache Software Foundation
Initial release2010200620122015
Current release3.1.2, August 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++, Java, .Net
Server operating systemshostedLinux
Unix
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP/JSON APIHTTP API
Sockets
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)noAccess rights for users, groups and rolesSecurity Hooks for custom implementations

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More resources
Google BigQueryGraphiteHiveIgnite
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