DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hawkular Metrics vs. MarkLogic vs. MonetDB vs. Qdrant vs. RDF4J

System Properties Comparison Hawkular Metrics vs. MarkLogic vs. MonetDB vs. Qdrant vs. RDF4J

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Operational and transactional Enterprise NoSQL databaseA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSVector DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.hawkular.orgwww.marklogic.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
rdf4j.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.comwww.monetdb.org/­Documentationqdrant.tech/­documentationrdf4j.org/­documentation
DeveloperCommunity supported by Red HatMarkLogic Corp.MonetDB BVQdrantSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142001200420212004
Current release11.0, December 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CRustJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanyes
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.noyesno
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyes infoSQL92yes infoSQL 2003 with some extensionsnono
APIs and other access methodsHTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyes, in SQL, C, Ryes
Triggersyes infovia Hawkular Alertingyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding via remote tablesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnone infoSource-replica replication available in experimental statusCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardKey-based authenticationno

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
Hawkular MetricsMarkLogicMonetDBQdrantRDF4J infoformerly known as Sesame
Recent citations in the news

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

MarkLogic “The NoSQL Database”. In the MarkLogic Query Console, you can… | by Abhay Srivastava | Apr, 2024
22 April 2024, Medium

Database Platform to Simplify Complex Data | Progress Marklogic
7 February 2023, Progress Software

AI can make logistics data as valuable as intelligence or operational data for mission success
17 April 2024, Breaking Defense

ABN AMRO Moves Progress-Powered Credit Store App to Azure Cloud; Achieves 40% Faster Data Processing, Lower ...
12 March 2024, GlobeNewswire

Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes
1 February 2024, release.nl

provided by Google News

In 2024 the MonetDB Foundation was established for the preservation, maintenance and further development of the ...
31 January 2024, Centrum Wiskunde & Informatica (CWI)

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R - Part I - DataScienceCentral.com
6 April 2018, Data Science Central

How MonetDB Exploits Modern CPU Performance | by Dwi Prasetyo Adi Nugroho
14 January 2020, Towards Data Science

MonetDB Solutions secures investment from ServiceNow
30 September 2019, Centrum Wiskunde & Informatica (CWI)

provided by Google News

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Markets Insider

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
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

Present your product here