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DBMS > Google BigQuery vs. H2 vs. LMDB vs. Microsoft SQL Server vs. Netezza

System Properties Comparison Google BigQuery vs. H2 vs. LMDB vs. Microsoft SQL Server vs. Netezza

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonH2  Xexclude from comparisonLMDB  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 tablesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performant, light-weight, embedded key-value database libraryMicrosofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitecloud.google.com/­bigquerywww.h2database.comwww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezza
Technical documentationcloud.google.com/­bigquery/­docswww.h2database.com/­html/­main.htmlwww.lmdb.tech/­doclearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleThomas MuellerSymasMicrosoftIBM
Initial release20102005201119892000
Current release2.2.220, July 20230.9.32, January 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Sourcecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedAll OS with a Java VMLinux
Unix
Windows
Linux
Windows
Linux infoincluded in appliance
Data schemeyesyesschema-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 indexesnoyesnoyesyes
SQL infoSupport of SQLyesyesnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
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
Java.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
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 JavaScriptJava Stored Procedures and User-Defined FunctionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes, 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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.noyesyesyes
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-standardnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Google BigQueryH2LMDBMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBM
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