DBMS > Qdrant vs. SpatiaLite

System Properties Comparison Qdrant vs. SpatiaLite

Please select another system to include it in the comparison.

Our visitors often compare Qdrant and SpatiaLite with Elasticsearch, SQLite and MongoDB.

Editorial information provided by DB-Engines

Name

Description

A high-performance vector similarity Search Engine and vector Database with neural network or semantic-based matching

Spatial extension of SQLite

Primary database model

Search engine

Spatial DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.27
Rank	#320	Overall
	#23	Search engines

Score	2.10
Rank	#138	Overall
	#3	Spatial DBMS

Website

github.com/qdrant/qdrant
qdrant.tech

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

qdrant.tech/documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Qdrant

Alessandro Furieri

Initial release

2021

2008

Current release

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Rust

C++

Server operating systems

Docker
Linux
macOS
Windows

server-less

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Numbers, Strings, Geo, Boolean

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.

Secondary indexes

yes

Keywords, numberic ranges, geo, full-text

yes

SQL

Support of SQL

yes

APIs and other access methods

gRPC
OpenAPI 3.0
RESTful HTTP/JSON API

OpenAPI 3.0

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Collection-level replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency, tunable consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Key-based authentication

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

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Qdrant: Open-Source Vector Search Engine with Managed Cloud ...
9 February 2023, KDnuggets

Entering the era of Intelligent Search · Bessemer Venture Partners
14 December 2022, Bessemer Venture Partners

KDnuggets News, February 15: Top Free Resources To Learn ...
15 February 2023, KDnuggets

Hyperparameter Tuning Using Grid Search and Random Search in ...
5 October 2022, KDnuggets

Support Vector Machines: An Intuitive Approach
23 August 2022, KDnuggets

provided by Google News

Share this page