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DBMS > GRAKN.AI vs. Microsoft Access vs. RocksDB

System Properties Comparison GRAKN.AI vs. Microsoft Access vs. RocksDB

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.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.)Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score128.58
Rank#9  Overall
#6  Relational DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Websitegrakn.aiproducts.office.com/­en-us/­accessrocksdb.org
Technical documentationdev.grakn.ai/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxgithub.com/­facebook/­rocksdb/­wiki
DeveloperGrakn Labs LtdMicrosoftFacebook, Inc.
Initial release201619922013
Current release1.6.2, January 20201902 (16.0.11328.20222), March 20196.5.3, January 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infoBundled with Microsoft OfficeOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
GRAKN.AIMicrosoft AccessRocksDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
GRAKN.AIMicrosoft AccessRocksDB
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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

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