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DBMS > Google BigQuery vs. Heroic vs. Microsoft SQL Server vs. NSDb vs. Tibero

System Properties Comparison Google BigQuery vs. Heroic vs. Microsoft SQL Server vs. NSDb vs. Tibero

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNSDb  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosofts flagship relational DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score0.30
Rank#274  Overall
#22  Time Series DBMS
Score944.96
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#357  Overall
#33  Time Series DBMS
Score1.94
Rank#128  Overall
#62  Relational DBMS
Websitecloud.google.com/­bigqueryspotify.github.io/­heroic/­#!/­indexwww.microsoft.com/­en-us/­sql-servernsdb.iowww.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.microsoft.com/­en-US/­sql/­sql-servernsdb.io/­Architecturetechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogleSpotifyMicrosoftTmaxSoft
Initial release20102014198920172003
Current releaseSQL Server 2019, November 20196, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, ScalaC and Assembler
Server operating systemshostedLinux
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.nonoyesnoyes
Secondary indexesnoyes infovia Elasticsearchyesall fields are automatically indexedyes
SQL infoSupport of SQLyesnoyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
HTTP REST
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoPersistent Stored Procedure (PSM)
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

More information provided by the system vendor

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More resources
Google BigQueryHeroicMicrosoft SQL ServerNSDbTibero
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