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DBMS > InfluxDB vs. RDF4J vs. Transwarp StellarDB

System Properties Comparison InfluxDB vs. RDF4J vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSRDF storeGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.54
Rank#28  Overall
#1  Time Series DBMS
Score0.69
Rank#221  Overall
#9  RDF stores
Score0.00
Rank#382  Overall
#40  Graph DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewrdf4j.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.influxdata.com/­influxdbrdf4j.org/­documentation
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Transwarp
Initial release20132004
Current release2.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
Data schemeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
OpenCypher
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accountsnoyes
More information provided by the system vendor
InfluxDBRDF4J infoformerly known as SesameTranswarp StellarDB
News

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

Optimizing SQL (and DataFrames) in DataFusion: Part 2
3 April 2025

Simplifying Multi-Node Setups with InfluxDB 3 Enterprise Modes
2 April 2025

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More resources
InfluxDBRDF4J infoformerly known as SesameTranswarp StellarDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

InfluxData Releases InfluxDB 3 Core and InfluxDB 3 Enterprise
16 April 2025, Database Trends and Applications

InfluxData rolls out InfluxDB 3 to power real-time apps at scale
15 April 2025, Blocks and Files

InfluxDB 3 Core & Enterprise bring high-speed data tools
17 April 2025, IT Brief Asia

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data
15 April 2025, Silicon Canals

Time series data: AWS/InfluxDB team up for open-source innovation
7 April 2025, SiliconANGLE

provided by Google News

Figure 2: An example RDF Schema, defining vocabulary and a class...
6 September 2018, ResearchGate

provided by Google News



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