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

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesdata 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.Analytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.92
Rank#25  Overall
#16  Relational DBMS
Score85.58
Rank#14  Overall
#9  Relational DBMS
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score18.65
Rank#37  Overall
#23  Relational DBMS
Websitecloud.google.com/­bigqueryhive.apache.orgignite.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookApache Software FoundationCloudera
Initial release2010201220152013
Current release3.1.2, August 2019Apache Ignite 2.63.4.0, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduce
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDno
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.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesSecurity Hooks for custom implementationsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Google BigQueryHiveIgniteImpala
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