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DBMS > Microsoft Access vs. RDF4J vs. Sequoiadb vs. Spark SQL vs. TypeDB

System Properties Comparison Microsoft Access vs. RDF4J vs. Sequoiadb vs. Spark SQL vs. TypeDB

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionMicrosoft 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.)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSRDF storeDocument store
Relational DBMS
Relational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.orgwww.sequoiadb.comspark.apache.org/­sqltypedb.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypedb.com/­docs
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.Apache Software FoundationVaticle
Initial release19922004201320142016
Current release1902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 20232.26.3, January 2024
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++ScalaJava
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesyes
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.nonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSONJDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesJavaScriptnono
Triggersyes infosince Access 2010 using the ACE-engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark CoreSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID infoIsolation support depends on the API usedDocument is locked during a transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003nosimple password-based access controlnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Microsoft AccessRDF4J infoformerly known as SesameSequoiadbSpark SQLTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Microsoft AccessRDF4J infoformerly known as SesameSequoiadbSpark SQLTypeDB infoformerly named Grakn
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