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DBMS > Dragonfly vs. H2 vs. LevelDB vs. Microsoft Access vs. OpenQM

System Properties Comparison Dragonfly vs. H2 vs. LevelDB vs. Microsoft Access vs. OpenQM

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable 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.)QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2database.comgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.dragonflydb.io/­docswww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperDragonflyDB team and community contributorsThomas MuellerGoogleMicrosoftRocket Software, originally Martin Phillips
Initial release20232005201119921993
Current release1.0, March 20232.2.220, July 20231.23, February 20211902 (16.0.11328.20222), March 20193.4-12
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemsLinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemescheme-freeyesschema-freeyesyes infowith some exceptions
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaC++
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
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresLuaJava Stored Procedures and User-Defined Functionsnoyes infosince Access 2010 using the ACE-engineyes
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes 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.yesyes
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item level

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More resources
DragonflyH2LevelDBMicrosoft AccessOpenQM infoalso called QM
DB-Engines blog posts

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2 May 2013, Paul Andlinger

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3 October 2012, Matthias Gelbmann, Paul Andlinger

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