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DBMS > Dragonfly vs. EDB Postgres vs. JanusGraph vs. Microsoft Access

System Properties Comparison Dragonfly vs. EDB Postgres vs. JanusGraph vs. Microsoft Access

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEDB Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  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 instanceThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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.)
Primary database modelKey-value storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.enterprisedb.comjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.dragonflydb.io/­docswww.enterprisedb.com/­docsdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperDragonflyDB team and community contributorsEnterpriseDBLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release2023200520171992
Current release1.0, March 202314, December 20210.6.3, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial infoBSD for PostgreSQL-componentsOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemescheme-freeyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsnoyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infosince Access 2010 using the ACE-engine
Triggerspublish/subscribe channels provide some trigger functionalityyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003

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More resources
DragonflyEDB PostgresJanusGraph infosuccessor of TitanMicrosoft Access
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