DBMS > Apache Pinot vs. ClickHouse vs. SAP HANA

System Properties Comparison Apache Pinot vs. ClickHouse vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

Column-oriented Relational DBMS powering Yandex

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.68
Rank	#251	Overall
	#117	Relational DBMS

Score	13.87
Rank	#44	Overall
	#28	Relational DBMS

Score	51.08
Rank	#22	Overall
	#15	Relational DBMS

Website

pinot.apache.org

clickhouse.tech

www.sap.com/products/hana.html

Technical documentation

docs.pinot.apache.org

clickhouse.tech/docs

help.sap.com/hana

Developer

Apache Software Foundation and contributors

Clickhouse Inc.

SAP

Initial release

2015

2016

2010

Current release

0.11.0, September 2022

v23.1.3.5-stable, February 2023

2.0 SPS06 (March 4, 2022), March 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java JDK11 or higher

FreeBSD
Linux
macOS

Appliance or cloud-service

Data scheme

yes

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, when using the MergeTree engine

yes

SQL

Support of SQL

SQL-like query language

Close to ANSI SQL

yes

APIs and other access methods

JDBC

HTTP REST
JDBC
ODBC
Proprietary protocol

JDBC
ODBC

Supported programming languages

Go
Java
Python

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

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

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

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

yes

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