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DBMS > Interbase vs. LMDB vs. Microsoft Azure Table Storage vs. Microsoft SQL Server vs. PostgreSQL

System Properties Comparison Interbase vs. LMDB vs. Microsoft Azure Table Storage vs. Microsoft SQL Server vs. PostgreSQL

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandA high performant, light-weight, embedded key-value database libraryA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-serverwww.postgresql.org
Technical documentationdocs.embarcadero.com/­products/­interbasewww.lmdb.tech/­doclearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docs
DeveloperEmbarcaderoSymasMicrosoftMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release19842011201219891989 info1989: Postgres, 1996: PostgreSQL
Current releaseInterBase 2020, December 20190.9.32, January 2024SQL Server 2022, November 202216.3, May 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++C
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
Unix
Windows
hostedLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
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.no infoexport as XML data possiblenonoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesnonoyesyes infostandard with numerous extensions
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.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#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languagenonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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