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DBMS > 4D vs. Apache IoTDB vs. Cloudflare Workers KV vs. RRDtool vs. Trafodion

System Properties Comparison 4D vs. Apache IoTDB vs. Cloudflare Workers KV vs. RRDtool vs. Trafodion

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonRRDtool  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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.Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitewww.4d.comiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvoss.oetiker.ch/­rrdtooltrafodion.apache.org
Technical documentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apioss.oetiker.ch/­rrdtool/­doctrafodion.apache.org/­documentation.html
Developer4D, IncApache Software FoundationCloudflareTobias OetikerApache Software Foundation, originally developed by HP
Initial release19842018201819992014
Current releasev20, April 20231.1.0, April 20231.8.0, 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++, Java
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)hostedHP-UX
Linux
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoNumeric 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.yesnonono infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
HTTP REST
Proprietary protocol
in-process shared library
Pipes
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyesnonoJava Stored Procedures
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes 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.noyesnoyesno
User concepts infoAccess controlUsers and groupsyesnofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache IoTDBCloudflare Workers KVRRDtoolTrafodion
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