DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Qdrant vs. RavenDB vs. Yaacomo

System Properties Comparison Qdrant vs. RavenDB vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonRavenDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#163  Overall
#7  Vector DBMS
Score2.80
Rank#99  Overall
#18  Document stores
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.netyaacomo.com
Technical documentationqdrant.tech/­documentationravendb.net/­docs
DeveloperQdrantHibernating RhinosQ2WEB GmbH
Initial release202120102009
Current release5.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availablecommercial
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 languageRustC#
Server operating systemsDocker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleannoyes
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.nono
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)yes
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlKey-based authenticationAuthorization levels configured per client per databasefine 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
QdrantRavenDBYaacomo
Recent citations in the news

Qdrant Introduces BM42: Hybrid Search For Enhanced RAG
6 July 2024, Forbes

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

Qdrant launches pure vector-based hybrid search for more accurate AI data retrieval
2 July 2024, SiliconANGLE News

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

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

NoSQL Databases Software Market Analysis By Top Keyplayers -
11 July 2024, openPR

RavenDB Adds Graph Queries
15 May 2019, Datanami

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and Accelerate Growth
13 June 2023, PR Newswire

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

provided by Google News



Share this page

Featured Products

RaimaDB logo

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

SingleStore logo

Database for your real-time AI and Analytics Apps.
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

Milvus logo

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

Present your product here