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DBMS > Cassandra vs. Grakn vs. Microsoft Access

System Properties Comparison Cassandra vs. Grakn vs. Microsoft Access

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGrakn  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGrakn 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.)
Primary database modelWide column storeGraph 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 DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score121.09
Rank#10  Overall
#1  Wide column stores
Score0.60
Rank#206  Overall
#17  Graph DBMS
#99  Relational DBMS
Score116.54
Rank#11  Overall
#7  Relational DBMS
Websitecassandra.apache.orggrakn.aiproducts.office.com/­en-us/­access
Technical documentationcassandra.apache.org/­doc/­latestdev.grakn.ai/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGrakn LabsMicrosoft
Initial release200820161992
Current release3.11.6, February 20201.8.0, June 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL Version 3, commercial licenses availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
console (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlAccess rights for users can be defined per objectyes infoat REST API level; other APIs in progressno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
CassandraGraknMicrosoft Access
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more
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Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CassandraGraknMicrosoft Access
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