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DBMS > Apache IoTDB vs. Apache Jena - TDB vs. EsgynDB vs. IBM Db2 Event Store

System Properties Comparison Apache IoTDB vs. Apache Jena - TDB vs. EsgynDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonIBM Db2 Event Store  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 TrafodionDistributed Event Store optimized for Internet of Things use cases
Primary database modelTime Series DBMSRDF storeRelational DBMSEvent Store
Time Series DBMS
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
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlwww.esgyn.cnwww.ibm.com/­products/­db2-event-store
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsEsgynIBM
Initial release2018200020152017
Current release1.1.0, April 20234.9.0, July 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, JavaC and C++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesyes infoRDF Schemasyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesyesJava Stored Proceduresyes
Triggersyesyes infovia event handlernono
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 datacentersActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesAccess control via Jena Securityfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBApache Jena - TDBEsgynDBIBM Db2 Event Store
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