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DBMS > LevelDB vs. Microsoft Access vs. Splice Machine vs. YDB

System Properties Comparison LevelDB vs. Microsoft Access vs. Splice Machine vs. YDB

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionEmbeddable 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.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA 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 storeRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperGoogleMicrosoftSplice MachineYandex
Initial release2011199220142019
Current release1.23, February 20211902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyesSQL-like query language (YQL)
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes infoJavano
Triggersnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes 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.yesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
LevelDBMicrosoft AccessSplice MachineYDB
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