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DBMS > Microsoft Access vs. RRDtool vs. SiriDB vs. Spark SQL vs. Tkrzw

System Properties Comparison Microsoft Access vs. RRDtool vs. SiriDB vs. Spark SQL vs. Tkrzw

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonRRDtool  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessoss.oetiker.ch/­rrdtoolsiridb.comspark.apache.org/­sqldbmx.net/­tkrzw
Technical documentationdeveloper.microsoft.com/­en-us/­accessoss.oetiker.ch/­rrdtool/­docdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftTobias OetikerCesbitApache Software FoundationMikio Hirabayashi
Initial release19921999201720142020
Current release1902 (16.0.11328.20222), March 20191.8.0, 20223.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL V2 and FLOSSOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 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++C infoImplementations in Java (e.g. RRD4J) and C# availableCScalaC++
Server operating systemsWindows infoNot a real database server, but making use of DLLsHP-UX
Linux
LinuxLinux
OS X
Windows
Linux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infoNumeric datayesno
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.no infoExporting into and restoring from XML files possiblenonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnonoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
in-process shared library
Pipes
HTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenononono
Triggersyes infosince Access 2010 using the ACE-enginenononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003nosimple rights management via user accountsnono

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More resources
Microsoft AccessRRDtoolSiriDBSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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