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DBMS > EJDB vs. FileMaker vs. Newts vs. RRDtool vs. Spark SQL

System Properties Comparison EJDB vs. FileMaker vs. Newts vs. RRDtool vs. Spark SQL

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNewts  Xexclude from comparisonRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS based on CassandraIndustry 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.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.claris.com/­filemakeropennms.github.io/­newtsoss.oetiker.ch/­rrdtoolspark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.claris.com/­resources/­documentationgithub.com/­OpenNMS/­newts/­wikioss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsClaris infoa subsidiary of AppleOpenNMS GroupTobias OetikerApache Software Foundation
Initial release20121983201419992014
Current release19.4.1, November 20211.8.0, 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSSOpen 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 languageCJavaC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
HP-UX
Linux
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesNumeric data onlyyes
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.yes infoA http query request can return the data in XML formatnono infoExporting into and restoring from XML files possibleno
Secondary indexesnoyesnonono
SQL infoSupport of SQLnoyes infovia pluginsnonoSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryFilemaker WebDirect
JDBC
ODBC
HTTP REST
Java API
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
PHPJavaC 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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandranoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesnonono

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More resources
EJDBFileMakerNewtsRRDtoolSpark SQL
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