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DBMS > Google BigQuery vs. Heroic vs. Immudb vs. Microsoft SQL Server vs. Netezza

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

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 ElasticSearchAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Microsofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­spotify/­heroicgithub.com/­codenotary/­immudb
immudb.io
www.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezza
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroicdocs.immudb.iolearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleSpotifyCodenotaryMicrosoftIBM
Initial release20102014202019892000
Current release1.2.3, April 2022SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial inforestricted free version is availablecommercial
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 languageJavaGoC++
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeschema-freeyesyes
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 indexesnoyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLyesnoSQL-like syntaxyesyes
APIs and other access methodsRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
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 JavaScriptnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
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.nononoyes
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 concept

More information provided by the system vendor

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More resources
Google BigQueryHeroicImmudbMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBM
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