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DBMS > LeanXcale vs. Linter vs. Microsoft Access vs. Microsoft Azure Table Storage

System Properties Comparison LeanXcale vs. Linter vs. Microsoft Access vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDBMS for high security requirementsMicrosoft 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.)A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#262  Overall
#46  Key-value stores
#120  Relational DBMS
Score0.01
Rank#334  Overall
#137  Relational DBMS
Score116.54
Rank#11  Overall
#7  Relational DBMS
Score5.51
Rank#61  Overall
#5  Wide column stores
Websitewww.leanxcale.comlinter.ru/­enproducts.office.com/­en-us/­accessazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperLeanXcalerelex.ru/­enMicrosoftMicrosoft
Initial release2015199019922012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infothrough Apache Derbyyesyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
Java
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signatures
More information provided by the system vendor
LeanXcaleLinterMicrosoft AccessMicrosoft Azure Table Storage
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LeanXcaleLinterMicrosoft AccessMicrosoft Azure Table Storage
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