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DBMS > Ignite vs. Microsoft Access vs. RDF4J vs. Sequoiadb vs. SurrealDB

System Properties Comparison Ignite vs. Microsoft Access vs. RDF4J vs. Sequoiadb vs. SurrealDB

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.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.)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSRDF storeDocument store
Relational DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
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
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteignite.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.orgwww.sequoiadb.comsurrealdb.com
Technical documentationapacheignite.readme.io/­docsdeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsurrealdb.com/­docs
DeveloperApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.SurrealDB Ltd
Initial release20151992200420132022
Current releaseApache Ignite 2.61902 (16.0.11328.20222), March 2019v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++JavaC++Rust
Server operating systemsLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
LinuxLinux
macOS
Windows
Data schemeyesyesyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardnoSQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.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 JSONGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
.Net
C++
Java
PHP
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineyesJavaScript
Triggersyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID infoIsolation support depends on the API usedDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003nosimple password-based access controlyes, based on authentication and database rules

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More resources
IgniteMicrosoft AccessRDF4J infoformerly known as SesameSequoiadbSurrealDB
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