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DBMS > ClickHouse vs. Memcached vs. SAP HANA vs. SQL.JS

System Properties Comparison ClickHouse vs. Memcached vs. SAP HANA vs. SQL.JS

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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.

In-memory key-value store, originally intended for caching

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

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Key-value store

Relational DBMS

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	15.88
Rank	#37	Overall
	#22	Relational DBMS

Score	16.84
Rank	#32	Overall
	#4	Key-value stores

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

www.memcached.org

www.sap.com/products/hana.html

Technical documentation

clickhouse.com/docs

github.com/memcached/memcached/wiki

help.sap.com/hana

sql.js.org/documentation/index.html

Developer

Clickhouse Inc.

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

SAP

Alon Zakai

enhancements implemented by others

Initial release

2016

2003

2010

2012

Current release

v24.6.2.17-stable, July 2024

1.6.29, June 2024

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD license

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

also available as a cloud based service

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

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.

Implementation language

C++

C

JavaScript

Server operating systems

FreeBSD
Linux
macOS

FreeBSD
Linux
OS X
Unix
Windows

Appliance or cloud-service

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

no

yes

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.

no

no

no

Secondary indexes

yes

no

yes

SQL

Support of SQL

Close to ANSI SQL (SQL/JSON + extensions)

no

yes

yes

SQL-92 is not fully supported

APIs and other access methods

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

Proprietary protocol

JDBC
ODBC

JavaScript API

Supported programming languages

C#

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

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

no

SQLScript, R

no

Triggers

no

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

key based and custom

none

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

none

Repcached, a Memcached patch, provides this functionallity

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

no

no

yes

yes

Transaction concepts

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

no

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

no

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

yes

yes

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.

yes

using SASL (Simple Authentication and Security Layer) protocol

yes

no

More information provided by the system vendor

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

Related products and services

3rd parties

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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1 December 2014, Matthias Gelbmann

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