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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDragonfly  Xexclude from comparisonEDB Postgres  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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.Microsoft 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 modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.enterprisedb.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.databend.comwww.dragonflydb.io/­docswww.enterprisedb.com/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDatabend LabsDragonflyDB team and community contributorsEnterpriseDBMicrosoft
Initial release2021202320051992
Current release1.0.59, April 20231.0, March 202314, December 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercial infoBSD for PostgreSQL-componentscommercial 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 languageRustC++CC++
Server operating systemshosted
Linux
macOS
LinuxLinux
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesscheme-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsyes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infosince Access 2010 using the ACE-engine
Triggersnopublish/subscribe channels provide some trigger functionalityyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes 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 controlUsers with fine-grained authorization concept, user rolesPassword-based authenticationfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
DatabendDragonflyEDB PostgresMicrosoft Access
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