DBMS > ClickHouse vs. Couchbase vs. Sqrrl

System Properties Comparison ClickHouse vs. Couchbase vs. Sqrrl

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Editorial information provided by DB-Engines

Name

Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.

Description

Column-oriented Relational DBMS powering Yandex

A distributed document store with a powerful search engine and in-built operational and analytical capabilities

Adaptable, secure NoSQL built on Apache Accumulo

Primary database model

Relational DBMS

Document store

Document store
Graph DBMS
Key-value store
Wide column store

Secondary database models

Time Series DBMS

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension

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

Score	12.32
Rank	#46	Overall
	#30	Relational DBMS

Score	28.38
Rank	#30	Overall
	#5	Document stores

Website

clickhouse.tech

www.couchbase.com

sqrrl.com

Technical documentation

clickhouse.tech/docs

docs.couchbase.com

Developer

Clickhouse Inc.

Couchbase, Inc.

Amazon

originally Sqrrl Data, Inc.

Initial release

2016

2011

2012

Current release

v22.4.5.9-stable, May 2022

Server: 7.0, July 2021; Mobile: 3, February 2022; Couchbase Capella, October 2021

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache version 2; Commercial licenses also available

commercial

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.

Couchbase Capella: a fully managed database-as-a-service that eliminates database management efforts and reduces cost

Implementation language

C++

C, C++, Go and Erlang

Java

Server operating systems

FreeBSD
Linux
macOS

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

String, Boolean, Number

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

Declarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

Native language bindings for CRUD, Query, Search and Analytics APIs

Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift

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

.Net
C
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Scala

Actionscript
C

using GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk

Server-side scripts

Stored procedures

Functions and timers in JavaScript

Triggers

yes

via the TAP protocol

Partitioning methods

Methods for storing different data on different nodes

Sharding

making use of Hadoop

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

including cross data center replication
Source-replica replication

selectable replication factor

making use of Hadoop

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

Immediate Consistency

Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Atomic updates per row, document, or graph entity

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

Ephemeral buckets

User concepts

Access control

Access rights for users and roles

User and Administrator separation with password-based and LDAP integrated Authentication

Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

More information provided by the system vendor

Specific characteristics

Developed as an alternative to traditionally inflexible relational databases, Couchbase...
» more

Competitive advantages

Couchbase was architected with several differentiated capabilities: Shared-nothing,...
» more

Typical application scenarios

Customer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more

Key customers

Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more

Market metrics

Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more

Licensing and pricing models

The Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more

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