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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonatoti  Xexclude from comparisonElasticsearch  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRDF storeObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector 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
Score132.83
Rank#7  Overall
#1  Search engines
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlatoti.iowww.elastic.co/­elasticsearchwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.atoti.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsActiveViamElasticSADAS s.r.l.
Initial release2018200020102006
Current release1.1.0, April 20234.9.0, July 20238.6, January 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0commercial infofree versions availableOpen Source infoElastic Licensecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAll OS with a Java VMAIX
Linux
Windows
Data schemeyesyes infoRDF Schemasschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoMultidimensional Expressions (MDX)SQL-like query languageyes
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesPythonyesno
Triggersyesyes infovia event handleryes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding, horizontal partitioningShardinghorizontal 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 replicasnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate 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)yesyes
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.yesyesMemcached and Redis integrationyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesAccess control via Jena SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBApache Jena - TDBatotiElasticsearchSadas Engine
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