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DBMS > Apache IoTDB vs. Apache Jena - TDB vs. EsgynDB vs. Google Cloud Datastore

System Properties Comparison Apache IoTDB vs. Apache Jena - TDB vs. EsgynDB vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  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 frameworkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelTime Series DBMSRDF storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlwww.esgyn.cncloud.google.com/­datastore
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastore/­docs
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsEsgynGoogle
Initial release2018200020152008
Current release1.1.0, April 20234.9.0, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinuxhosted
Data schemeyesyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details here
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language (GQL)
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesJava Stored Proceduresusing Google App Engine
Triggersyesyes infovia event handlernoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replication between multi datacentersMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlyesAccess control via Jena Securityfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache IoTDBApache Jena - TDBEsgynDBGoogle Cloud Datastore
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