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DBMS > LevelDB vs. Microsoft Access vs. Oracle Berkeley DB vs. Prometheus vs. ToroDB

System Properties Comparison LevelDB vs. Microsoft Access vs. Oracle Berkeley DB vs. Prometheus vs. ToroDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPrometheus  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.)Widely used in-process key-value storeOpen-source Time Series DBMS and monitoring systemA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSDocument store
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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlprometheus.iogithub.com/­torodb/­server
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlprometheus.io/­docs
DeveloperGoogleMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle8Kdata
Initial release20111992199420152016
Current release1.23, February 20211902 (16.0.11328.20222), March 201918.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infocommercial license availableOpen Source infoApache 2.0Open Source infoAGPL-V3
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, Java, C++ (depending on the Berkeley DB edition)GoJava
Server operating systemsIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoNumeric data onlyyes 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.noyes infoonly with the Berkeley DB XML editionno infoImport of XML data possibleno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP/JSON API
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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenono
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes infoby FederationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
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.yesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003nonoAccess rights for users and roles

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More resources
LevelDBMicrosoft AccessOracle Berkeley DBPrometheusToroDB
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