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DBMS > Altibase vs. LevelDB vs. Microsoft Access vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Altibase vs. LevelDB vs. Microsoft Access vs. Postgres-XL vs. Sadas Engine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitealtibase.comgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgwww.sadasengine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAltibaseGoogleMicrosoftSADAS s.r.l.
Initial release1999201119922014 infosince 2012, originally named StormDB2006
Current releasev7.3, 2023, August 20231.23, February 20211902 (16.0.11328.20222), March 201910 R1, October 20188.0
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licensecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++CC++
Server operating systemsAIX
HP-UX
Linux
Illumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
AIX
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLANSI SQL-92noyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infosince Access 2010 using the ACE-engineuser defined functionsno
Triggersyesnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
AltibaseLevelDBMicrosoft AccessPostgres-XLSadas Engine
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