DBMS > Brytlyt vs. Qdrant vs. RethinkDB

System Properties Comparison Brytlyt vs. Qdrant vs. RethinkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

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

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Primary database model

Relational DBMS

Search engine

Document store

Secondary database models

Spatial DBMS

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

Score	0.51
Rank	#276	Overall
	#129	Relational DBMS

Score	0.18
Rank	#362	Overall
	#26	Search engines

Score	3.85
Rank	#96	Overall
	#18	Document stores

Website

www.brytlyt.com

github.com/qdrant/qdrant
qdrant.tech

rethinkdb.com

Technical documentation

qdrant.tech/documentation

rethinkdb.com/docs

Developer

Brytlyt

Qdrant

The Linux Foundation

since July 2017

Initial release

2016

2021

2009

Current release

0.9, October 2016

2.4.1, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2

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

C, C++ and CUDA

Rust

C++

Server operating systems

Linux
OS X
Windows

Docker
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Numbers, Strings, Geo, Boolean

yes

string, binary, float, bool, date, geometry

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.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

Keywords, numberic ranges, geo, full-text

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

gRPC
OpenAPI 3.0
RESTful HTTP/JSON API

OpenAPI 3.0

Supported programming languages

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

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

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

user defined functions

in PL/pgSQL

Triggers

yes

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Collection-level replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency, tunable consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

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

fine grained access rights according to SQL-standard

Key-based authentication

yes

users and table-level permissions

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

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

Brytlyt Wins the TIBCO ISV Partner of the Year Award for ...
23 September 2022, PR Newswire

Brytlyt's Serverless Analytics Saves Businesses 90% of GPU Cost
1 December 2022, Datanami

Global GPU Database Market Size 2023 Latest Report by ...
18 January 2023, Digital Journal

Brytlyt secures $5m for GPU-powered analytics database
22 December 2021, UKTN (UK Technology News

provided by Google News

An Introduction to the Power of Vector Search for Beginners
6 December 2022, hackernoon.com

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

provided by Google News

NoSQL Databases Software Market Demonstrates A Spectacular Growth By 2029 | Amazon, MarkLogic, RethinkDB
27 January 2023, openPR

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

Build real-time Web apps with RethinkDB
1 September 2015, InfoWorld

7 Most Popular Real-Time Databases
28 November 2022, Analytics India Magazine

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

provided by Google News

Share this page