DBMS > QuestDB vs. RethinkDB vs. RocksDB

System Properties Comparison QuestDB vs. RethinkDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

A high performance open source SQL database for time series data

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

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Time Series DBMS

Document store

Key-value store

Secondary database models

Relational DBMS

Spatial DBMS

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

Score	1.89
Rank	#146	Overall
	#11	Time Series DBMS

Score	3.85
Rank	#95	Overall
	#18	Document stores

Score	4.57
Rank	#87	Overall
	#13	Key-value stores

Website

questdb.io

rethinkdb.com

rocksdb.org

Technical documentation

questdb.io/docs/introduction

rethinkdb.com/docs

github.com/facebook/rocksdb/wiki

Developer

QuestDB Limited

The Linux Foundation

since July 2017

Facebook, Inc.

Initial release

2014

2009

2013

Current release

2.4.1, August 2020

7.10.2, March 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2

Open Source

BSD

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

Java

C++

Server operating systems

Linux
macOS
Windows

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free via InfluxDB Line Protocol

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC

C++ API
Java API

Supported programming languages

PostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust

over HTTP

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

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by timestamps)

Sharding

range based

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Configurable consistency for N replicas

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID for single-table writes

Atomic single-document operations

yes

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

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

through memory mapped files

yes

User concepts

Access control

yes

users and table-level permissions

More information provided by the system vendor

Specific characteristics

Relational model with native time series support Column based storage and time partitioned...
» more

Competitive advantages

Real-time data ingestion and istant SQL queries for time series High performance...
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Typical application scenarios

Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more

Licensing and pricing models

Apache 2.0.
» more

News

Migrating from Relational Databases to Time-series Databases
24 March 2023

MongoDB Time Series Benchmark and Review
20 March 2023

Loading Pandas DataFrames into QuestDB
9 March 2023

The Inner Workings of Distributed Databases
3 March 2023

Running Databases on Kubernetes
2 March 2023

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