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DBMS > FoundationDB vs. HugeGraph vs. Microsoft Access vs. Percona Server for MongoDB

System Properties Comparison FoundationDB vs. HugeGraph vs. Microsoft Access vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSMicrosoft 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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitegithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
www.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationapple.github.io/­foundationdbhugegraph.apache.org/­docsdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodb
DeveloperFoundationDBBaiduMicrosoftPercona
Initial release2013201819922015
Current release6.2.28, November 20200.91902 (16.0.11328.20222), March 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-free infosome layers support schemasyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.nono
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoyes infobut not compliant to any SQL standardno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresin SQL-layer onlyasynchronous Gremlin script jobsyes infosince Access 2010 using the ACE-engineJavaScript
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 infovia In-Memory Engine
User concepts infoAccess controlnoUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003Access rights for users and roles

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More resources
FoundationDBHugeGraphMicrosoft AccessPercona Server for MongoDB
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