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DBMS > Google BigQuery vs. Heroic vs. Microsoft SQL Server vs. Netezza vs. SAP HANA

System Properties Comparison Google BigQuery vs. Heroic vs. Microsoft SQL Server vs. Netezza vs. SAP HANA

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP HANA  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 DBMSData warehouse and analytics appliance part of IBM PureSystemsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score45.84
Rank#22  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezzawww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroiclearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperGoogleSpotifyMicrosoftIBMSAP
Initial release20102014198920002010
Current releaseSQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
Windows
Linux infoincluded in applianceAppliance or cloud-service
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesnoyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLyesnoyesyesyes
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)
JDBC
ODBC
OLE DB
JDBC
ODBC
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
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavayesSQLScript, R
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 datanoACIDACIDACID
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.nonoyesyes
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-standardUsers with fine-grained authorization conceptyes

More information provided by the system vendor

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More resources
Google BigQueryHeroicMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBMSAP HANA
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