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DBMS > JaguarDB vs. Microsoft Access vs. Riak TS vs. Sequoiadb vs. Spark SQL

System Properties Comparison JaguarDB vs. Microsoft Access vs. Riak TS vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak TS  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsMicrosoft 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.)Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Vector DBMS
Relational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.jaguardb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comspark.apache.org/­sql
Technical documentationwww.jaguardb.com/­support.htmldeveloper.microsoft.com/­en-us/­accesswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDataJaguar, Inc.MicrosoftOpen Source, formerly Basho TechnologiesSequoiadb Ltd.Apache Software Foundation
Initial release20151992201520132014
Current release3.3 July 20231902 (16.0.11328.20222), March 20193.0.0, September 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC++ErlangC++Scala
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes 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.nononono
Secondary indexesyesyesrestrictedyesno
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infobut not compliant to any SQL standardyes, limitedSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineErlangJavaScriptno
Triggersnoyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlrights management via user accountsno infoa simple user-level security was built in till version Access 2003nosimple password-based access controlno

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More resources
JaguarDBMicrosoft AccessRiak TSSequoiadbSpark SQL
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