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DBMS > LevelDB vs. Microsoft Access vs. MonetDB vs. RisingWave vs. ToroDB

System Properties Comparison LevelDB vs. Microsoft Access vs. MonetDB vs. RisingWave vs. ToroDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparisonRisingWave  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.)A relational database management system that stores data in columnsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.monetdb.orgwww.risingwave.com/­databasegithub.com/­torodb/­server
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperGoogleMicrosoftMonetDB BVRisingWave Labs8Kdata
Initial release20111992200420222016
Current release1.23, February 20211902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CRustJava
Server operating systemsIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
All OS with a Java 7 VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesStandard SQL-types and JSONyes infostring, integer, double, boolean, date, object_id
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensionsyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
PostgreSQL wire protocol
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)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes, in SQL, C, RUDFs in Python or Java
Triggersnoyes infosince Access 2010 using the ACE-engineyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes 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.yes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardUsers and RolesAccess rights for users and roles

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More resources
LevelDBMicrosoft AccessMonetDBRisingWaveToroDB
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