DBMS > Hive vs. OpenTSDB vs. Quasardb vs. QuestDB

System Properties Comparison Hive vs. OpenTSDB vs. Quasardb vs. QuestDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Scalable Time Series DBMS based on HBase

Distributed, high-performance timeseries database

A high performance open source SQL database for time series data

Primary database model

Relational DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	81.61
Rank	#17	Overall
	#11	Relational DBMS

Score	1.84
Rank	#130	Overall
	#8	Time Series DBMS

Score	0.11
Rank	#310	Overall
	#28	Time Series DBMS

Score	1.19
Rank	#161	Overall
	#12	Time Series DBMS

Website

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

opentsdb.net/docs/build/html/index.html

doc.quasar.ai/master

questdb.io/docs/introduction

Developer

Apache Software Foundation

initially developed by Facebook

currently maintained by Yahoo and other contributors

quasardb

QuestDB Limited

Initial release

2012

2011

2009

2014

Current release

3.1.2, August 2019

3.13.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

LGPL

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

Open Source

Apache 2.0

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++

Java

Server operating systems

All OS with a Java VM

Linux
Windows

BSD
Linux
OS X
Windows

Linux
macOS
Windows

Data scheme

yes

schema-free

yes

schema-free via InfluxDB Line Protocol

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

yes

integer and binary

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

with tags

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

APIs and other access methods

JDBC
ODBC
Thrift

HTTP API
Telnet API

HTTP API

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC

Supported programming languages

C++
Java
PHP
Python

Erlang
Go
Java
Python
R
Ruby

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

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

over HTTP

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

Sharding

consistent hashing

horizontal partitioning (by timestamps)

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

Source-replica replication with selectable replication factor

Configurable consistency for N replicas

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

based on HBase

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

ACID for single-table writes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

yes

In-memory capabilities

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

yes

Transient mode

yes

through memory mapped files

User concepts

Access control

Access rights for users, groups and roles

Cryptographically strong user authentication and audit trail

More information provided by the system vendor

Specific characteristics

High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more

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

Competitive advantages

High performance in a cost-effective small package Real-time results for even large...
» more

Real-time data ingestion and istant SQL queries for time series High performance...
» more

Typical application scenarios

Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more

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

Key customers

Large EU investment banks US based hedge funds Orolia Tellmeplus
» more

Market metrics

Has been running in very demanding production environments since 2013 Rapid adoption...
» more

Licensing and pricing models

Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

Apache 2.0.
» more

News

QuestDB 6.3 Release Highlights
9 May 2022

Time Series Data Analytics with QuestDB and Cube
26 April 2022

Demo of live crypto data streamed with QuestDB and Grafana
12 April 2022

Calling on our community members to help us support Ukraine
7 March 2022

QuestDB 6.2 January release, SQL JIT compiler
27 January 2022

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.