DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > MonetDB vs. Oracle Coherence vs. Qdrant vs. RisingWave

System Properties Comparison MonetDB vs. Oracle Coherence vs. Qdrant vs. RisingWave

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonQdrant  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsOracles in-memory data grid solutionA high-performance vector database with neural network or semantic-based matchingA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSKey-value storeVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitewww.monetdb.orgwww.oracle.com/­java/­coherencegithub.com/­qdrant/­qdrant
qdrant.tech
www.risingwave.com/­database
Technical documentationwww.monetdb.org/­Documentationdocs.oracle.com/­en/­middleware/­standalone/­coherenceqdrant.tech/­documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperMonetDB BVOracleQdrantRisingWave Labs
Initial release2004200720212022
Current releaseDec2023 (11.49), December 202314.1, August 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaRustRust
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMDocker
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, BooleanStandard SQL-types and JSON
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 indexesyesnoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnonoyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JCache
JPA
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, in SQL, C, RnoUDFs in Python or Java
Triggersyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusyes, with selectable consistency levelCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationKey-based authenticationUsers and Roles

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
MonetDBOracle CoherenceQdrantRisingWave
Recent citations in the news

MonetDB Foundation launched
31 January 2024, Centrum Wiskunde & Informatica (CWI)

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

How MonetDB/X100 Exploits Modern CPU Performance
14 January 2020, Towards Data Science

Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

Monet DB The Column-Store Pioneer
4 September 2019, Open Source For You

provided by Google News

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, Oracle

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, Microsoft

Hazelcast takes on proprietary Oracle in the In-Memory arena
17 June 2014, DatacenterDynamics

Oracle augments payments and transaction banking in the cloud
19 September 2023, The Paypers

Use your Universal Credits with Oracle WebLogic Server for OKE
15 October 2020, Oracle

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

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

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

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

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

provided by Google News

Streaming Databases: Embracing the Convergence of Stream Processing and Databases
17 May 2024, InfoQ.com

Infostealers on the Rise: A New Wave of Major Data Breaches?
1 July 2024, Security Boulevard

Open Source Ibis 8.0 Lets Data Teams Write Code Once and
12 February 2024, GlobeNewswire

A rising wave of tech disruptors: The future of defense innovation?
22 February 2024, McKinsey

RisingWave Cloud Democratizes Event Stream Processing, Making It Affordable at Cloud Scale
27 June 2023, Datanami

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

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

Milvus logo

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

RaimaDB logo

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

Present your product here