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DBMS > Google BigQuery vs. Impala vs. KairosDB vs. Microsoft SQL Server

System Properties Comparison Google BigQuery vs. Impala vs. KairosDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonImpala  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAnalytic DBMS for HadoopDistributed Time Series DBMS based on Cassandra or H2Microsofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score18.03
Rank#40  Overall
#25  Relational DBMS
Score0.65
Rank#214  Overall
#16  Time Series DBMS
Score941.20
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­bigquerywww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­kairosdb/­kairosdbwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­bigquery/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlkairosdb.github.iodocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleClouderaMicrosoft
Initial release2010201320131989
Current release4.0.0, July 20211.2.2, November 2018SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial inforestricted free version is available
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 languageC++JavaC++
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBCJava
JavaScript infoNode.js
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayes, but depending on the SQL-Server Edition
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
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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 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.nononoyes
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 roles infobased on Apache Sentry and Kerberossimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Google BigQueryImpalaKairosDBMicrosoft SQL Server
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