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DBMS > Google BigQuery vs. JaguarDB vs. LMDB vs. MaxDB vs. Microsoft SQL Server

System Properties Comparison Google BigQuery vs. JaguarDB vs. LMDB vs. MaxDB vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJaguarDB  Xexclude from comparisonLMDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPerformant, highly scalable DBMS for AI and IoT applicationsA high performant, light-weight, embedded key-value database libraryA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosofts flagship relational DBMS
Primary database modelRelational DBMSKey-value store
Vector DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­bigquerywww.jaguardb.comwww.symas.com/­symas-embedded-database-lmdbmaxdb.sap.comwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­bigquery/­docswww.jaguardb.com/­support.htmlwww.lmdb.tech/­docmaxdb.sap.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleDataJaguar, Inc.SymasSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release20102015201119841989
Current release3.3 July 20230.9.32, January 20247.9.10.12, February 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Sourcecommercial infoLimited community edition freecommercial inforestricted free version is available
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.
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Implementation languageC++ infothe server part. Clients available in other languagesCC++C++
Server operating systemshostedLinuxLinux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
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.nonononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.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
.Net
C#
Java
Perl
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
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.nonoyesnoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)rights management via user accountsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryJaguarDBLMDBMaxDB infoformerly named Adabas-DMicrosoft SQL Server
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