DBMS > ClickHouse vs. HEAVY.AI vs. XTDB

System Properties Comparison ClickHouse vs. HEAVY.AI vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

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

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Relational DBMS

Document store

Secondary database models

Time Series DBMS

Spatial DBMS

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

Score	13.18
Rank	#46	Overall
	#30	Relational DBMS

Score	1.48
Rank	#146	Overall
	#70	Relational DBMS

Score	0.00
Rank	#357	Overall
	#47	Document stores

Website

clickhouse.tech

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

github.com/xtdb/xtdb
xtdb.com

Technical documentation

clickhouse.tech/docs

docs.heavy.ai

xtdb.com/docs

Developer

Clickhouse Inc.

HEAVY.AI, Inc.

Juxt Ltd.

Initial release

2016

2019

Current release

v22.7.2.15-stable, August 2022

5.10, January 2022

1.19, September 2021

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2; enterprise edition available

Open Source

MIT License

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

Clojure

Server operating systems

FreeBSD
Linux
macOS

Linux

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

JDBC
ODBC
Thrift
Vega

HTTP REST
JDBC

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
Scala

3rd party library

All languages supporting JDBC/ODBC/Thrift
Python

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Round robin

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Optimizes memory and compute layers to deliver unprecedented performance. Natively...
» more

Competitive advantages

Only HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more

Typical application scenarios

Advanced analytics, geospatial and time-series analytics, accelerated data science,...
» more

Licensing and pricing models

HEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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

Recent citations in the news

StarRocks Launches Beta of Cloud Service for Its Analytics Engine
15 July 2022, thenewstack.io

How to deploy the Adminer database admin tool on Ubuntu Server 22.04
11 August 2022, TechRepublic

Observability startup Better Stack lands $18.6M in new cash
21 July 2022, TechCrunch

Two Sizes Fit Most: PostgreSQL and ClickHouse – The New Stack
13 April 2022, thenewstack.io

Multiple Flaws Uncovered in ClickHouse OLAP Database System for Big Data
16 March 2022, The Hacker News

provided by Google News

The insideBIGDATA IMPACT 50 List for Q3 2022
19 July 2022, insideBIGDATA

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

HEAVY.AI Introduces New Capabilities that Enable Organizations to Gain Faster Access to Rapidly Growing Data Sets and Deliver Decision-Quality Information
23 March 2022, insideBIGDATA

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

The insideBIGDATA IMPACT 50 List for Q1 2022
10 January 2022, insideBIGDATA

provided by Google News

Job opportunities

Java Engineer (Mid-level)
Ad.net, Remote

Big Data Software Engineer, VIPER
Comcast, Denver, CO

Data Engineer
Mather Economics, LLC, Atlanta, GA

Blue Planet Delivery Engineer
Ciena, Remote

Data Engineer
Iconity, Remote

Data Analyst
Cambridge Technology Enterprises (CTE), Atlanta, GA

jobs by

Share this page