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DBMS > LeanXcale vs. Microsoft Access vs. Microsoft Azure Table Storage vs. RocksDB vs. YDB

System Properties Comparison LeanXcale vs. Microsoft Access vs. Microsoft Azure Table Storage vs. RocksDB vs. YDB

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRocksDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft 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 datasetsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store
Relational DBMS
Relational DBMSWide column storeKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tablesrocksdb.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdeveloper.microsoft.com/­en-us/­accessgithub.com/­facebook/­rocksdb/­wikiydb.tech/­en/­docs
DeveloperLeanXcaleMicrosoftMicrosoftFacebook, Inc.Yandex
Initial release20151992201220132019
Current release1902 (16.0.11328.20222), March 20199.2.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoBSDOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinuxLinux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infobut not compliant to any SQL standardnonoSQL-like query language (YQL)
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIC++ API
Java API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenonono
Triggersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingoptimistic lockingyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signaturesnoAccess rights defined for Yandex Cloud users

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More resources
LeanXcaleMicrosoft AccessMicrosoft Azure Table StorageRocksDBYDB
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