DBMS > ClickHouse vs. CockroachDB vs. HEAVY.AI vs. Hive vs. QuestDB

System Properties Comparison ClickHouse vs. CockroachDB vs. HEAVY.AI vs. Hive vs. QuestDB

Editorial information provided by DB-Engines

Name

Description

A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

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

A high performance open source SQL database for time series data

Primary database model

Relational DBMS

Time Series DBMS

Secondary database models

Time Series DBMS

Spatial DBMS

Relational DBMS

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

Score	16.20
Rank	#37	Overall
	#23	Relational DBMS

Score	6.10
Rank	#58	Overall
	#33	Relational DBMS

Score	2.10
Rank	#126	Overall
	#61	Relational DBMS

Score	62.59
Rank	#18	Overall
	#12	Relational DBMS

Score	2.48
Rank	#115	Overall
	#9	Time Series DBMS

Website

clickhouse.com

www.cockroachlabs.com

github.com/heavyai/heavydb
www.heavy.ai

hive.apache.org

questdb.io

Technical documentation

clickhouse.com/docs

www.cockroachlabs.com/docs

docs.heavy.ai

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

questdb.io/docs

Developer

Clickhouse Inc.

Cockroach Labs

HEAVY.AI, Inc.

Apache Software Foundation

initially developed by Facebook

QuestDB Technology Inc

Initial release

2016

2015

2016

2012

2014

Current release

v23.12.1.1368-stable, December 2023

23.1.1, May 2023

5.10, January 2022

3.1.3, April 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 2.0, commercial license available

Open Source

Apache Version 2; enterprise edition available

Open Source

Apache Version 2

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.

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.

CockroachDB: A cloud-native, distributed SQL database designed for speed, scale, and survival. Get started for free today with a fully-managed CockroachDB cluster -- leave operations behind and get your app to market faster.

Implementation language

C++

C++ and CUDA

Java

Java (Zero-GC), C++, Rust

Server operating systems

FreeBSD
Linux
macOS

Linux
macOS
Windows

Linux

All OS with a Java VM

Linux
macOS
Windows

Data scheme

yes

dynamic schema

yes

schema-free via InfluxDB Line Protocol

Typing

predefined data types such as float or date

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

SQL

Support of SQL

Close to ANSI SQL (SQL/JSON + extensions)

yes, wire compatible with PostgreSQL

yes

SQL-like DML and DDL statements

SQL with time-series extensions

APIs and other access methods

gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol

JDBC

JDBC
ODBC
Thrift
Vega

JDBC
ODBC
Thrift

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol

Supported programming languages

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Rust
Scala

3rd party library

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

All languages supporting JDBC/ODBC/Thrift
Python

C++
Java
PHP
Python

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

key based and custom

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

Sharding

Round robin

Sharding

horizontal partitioning (by timestamps)

Replication methods

Methods for redundantly storing data on multiple nodes

Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.

Multi-source replication using RAFT

Multi-source replication

selectable replication factor

Source-replica replication with eventual consistency

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

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

In-memory capabilities

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

yes

through memory mapped files

User concepts

Access control

Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

Role-based access control

fine grained access rights according to SQL-standard

Access rights for users, groups and roles

More information provided by the system vendor

Specific characteristics

CockroachDB is a cloud-native, distributed SQL database architected for modern applications....
» more

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

Competitive advantages

- EFFORTLESS SCALE: Scale your applications, not operational complexity. CockroachDB...
» more

High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more

Typical application scenarios

Payment processing, user account management, metadata management, identity access...
» more

Financial tick data Industrial IoT Application Metrics Monitoring
» more

Key customers

Comcast, DoorDash, Mythical Games, Norfolk Southern, Netflix, LUSH, Bose, Shipt,...
» more

Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more

Market metrics

12K+ long-running clusters 25K+ CockroachDB self-hosted clusters 75K+ CockroachDB...
» more

Licensing and pricing models

- Apache 2.0 for core features released up to and including the 19.1 release - Time-limited...
» more

Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more

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27 March 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.