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DBMS > Apache IoTDB vs. Apache Jena - TDB vs. atoti vs. RRDtool vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. Apache Jena - TDB vs. atoti vs. RRDtool vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonatoti  Xexclude from comparisonRRDtool  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn 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 RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRDF storeObject oriented DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlatoti.iooss.oetiker.ch/­rrdtoolwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.atoti.iooss.oetiker.ch/­rrdtool/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsActiveViamTobias OetikerSADAS s.r.l.
Initial release2018200019992006
Current release1.1.0, April 20234.9.0, July 20231.8.0, 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0commercial infofree versions availableOpen Source infoGPL V2 and FLOSScommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMHP-UX
Linux
AIX
Linux
Windows
Data schemeyesyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.nono infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoMultidimensional Expressions (MDX)noyes
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
in-process shared library
Pipes
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC 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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesPythonnono
Triggersyesyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding, horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesAccess control via Jena SecuritynoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBApache Jena - TDBatotiRRDtoolSadas Engine
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