DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Drill vs. RDF4J vs. TimescaleDB

System Properties Comparison Apache Drill vs. RDF4J vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Relational DBMS
RDF storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#117  Overall
#22  Document stores
#60  Relational DBMS
Score1.02
Rank#226  Overall
#9  RDF stores
Score5.39
Rank#79  Overall
#5  Time Series DBMS
Websitedrill.apache.orgrdf4j.orgwww.timescale.com
Technical documentationdrill.apache.org/­docsrdf4j.org/­documentationdocs.timescale.com
DeveloperApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release201220042017
Current release1.20.3, January 20232.11.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes 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.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourcenofine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache DrillRDF4J infoformerly known as SesameTimescaleDB
Recent citations in the news

Working with Big Data: Tools and Techniques
11 September 2023, KDnuggets

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Sundeck Launches Query Engineering Platform for Snowflake
8 June 2023, The New Stack

The Architect's Guide to Data and File Formats
17 January 2023, The New Stack

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

provided by Google News

Exploring Intelligent Graph and PathQL - DataScienceCentral.com
21 February 2022, Data Science Central

Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
5 July 2022, PR Newswire

Intara FAQs
16 November 2022, Jane's

GraphDB 9.8 Brings Text Mining and Kafka Connectivity
2 June 2021, PR Newswire

SPARQL, le SQL du Web, et Linked Data Fragment : le point sur le ...
1 January 2017, linuxfr.org

provided by Google News

TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

TimescaleDB setzt nun auch auf Vektordatenbanken | heise online
26 September 2023, heise online

Introduction to Databases in Data Science
8 September 2023, KDnuggets

Visualizing IoT Data at Scale With Hopara and TimescaleDB
16 May 2023, Embedded Computing Design

provided by Google News

Job opportunities

AWS/ Big Data Developer
BI Labs, United States

Software Engineer (Back-end Development)
Concourse Labs, Austin, TX

Ontologist
Johns Hopkins Applied Physics Laboratory (APL), Laurel, MD

Full Stack Developer
Sheesha Finance, Remote

Rust Engineers (Multiple Openings) - Remote
Keyrock, Remote

Financial Markets Data Specialist
Federal Reserve Bank of New York, New York, NY

Mid or Senior Rust Backend Developer (Multiple openings - remote possible)
Keyrock, Remote

Senior Full Stack Developer
Sheesha Finance, Remote

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here