DBMS > Apache Druid vs. RDF4J
System Properties Comparison Apache Druid vs. RDF4J
Please select another system to include it in the comparison.
Our visitors often compare Apache Druid and RDF4J with Microsoft Azure Cosmos DB, PostgreSQL and MongoDB.
|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||RDF4J formerly known as Sesame Xexclude from comparison|
|Description||Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data||RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.|
|Primary database model||Relational DBMS|
Time Series DBMS
|Developer||Apache Software Foundation and contributors||Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.|
|Current release||26.0.0, May 2023|
|License Commercial or Open Source||Open Source Apache license v2||Open Source Eclipse Distribution License (EDL), v1.0.|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Data scheme||yes schema-less columns are supported||yes RDF Schemas|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||SQL for querying||no|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
RIO RDF Input/Output
SeRQL Sesame RDF Query Language
Sesame REST HTTP Protocol
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID Isolation support depends on the API used|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes in-memory storage is supported as well|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system||no|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Apache Druid||RDF4J formerly known as Sesame|
|Recent citations in the news|
Imply Announces Automatic Schema Discovery for Apache Druid ...
Cable TV's Latest Hit: Greater Grid Stability
Data Management in the Cloud: What the Tech Giants are Offering
Why You Shouldn't Invest In Vector Databases?
Apache Druid Charms in Upper Echelons of OLAP Database ...
provided by Google News
Exploring Intelligent Graph and PathQL - DataScienceCentral.com
Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
GraphDB Goes Open Source
provided by Google News
GCP Druid Sr. Engineer
Sr/Lead GCP Druid Engineer || Irving, TX, Tampa, FL || Hybrid
Director, Sales Enablement
Technical - Druid Expert
Principle Data Architect
2023 PhD Graduate - Ontologist - QAI
Share this page