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DBMS > FoundationDB vs. GridGain vs. JanusGraph vs. Microsoft Access

System Properties Comparison FoundationDB vs. GridGain vs. JanusGraph vs. Microsoft Access

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GridGain is an in-memory computing platform, built on Apache IgniteA 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.gridgain.comjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationapple.github.io/­foundationdbwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperFoundationDBGridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release2013200720171992
Current release6.2.28, November 2020GridGain 8.5.11.0.0, October 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial, open sourceOpen 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++Java, C++, .Net, Python, REST, SQLJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-free infosome layers support schemasyesyesyes
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.yesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standard
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)yesyes infosince Access 2010 using the ACE-engine
Triggersnoyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlnoRole-based access control
Security Hooks for custom implementations
User 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
FoundationDBGridGainJanusGraph infosuccessor of TitanMicrosoft Access
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