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DBMS > Apache IoTDB vs. PouchDB vs. Sadas Engine vs. TerminusDB

System Properties Comparison Apache IoTDB vs. PouchDB vs. Sadas Engine vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 FlinkJavaScript DBMS with an API inspired by CouchDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteiotdb.apache.orgpouchdb.comwww.sadasengine.comterminusdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlpouchdb.com/­guideswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationApache Software FoundationSADAS s.r.l.DataChemist Ltd.
Initial release2018201220062018
Current release1.1.0, April 20237.1.1, June 20198.011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree trial version availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Prolog, Rust
Server operating systemsAll OS with a Java VM (>= 1.8)server-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
Native API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Proprietary protocol
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioningGraph 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 replicasMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Apache IoTDBPouchDBSadas EngineTerminusDB infoformer name was DataChemist
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