DBMS > ClickHouse vs. FeatureBase vs. Microsoft Azure Synapse Analytics

System Properties Comparison ClickHouse vs. FeatureBase vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	15.98
Rank	#39	Overall
	#24	Relational DBMS

Score	0.45
Rank	#284	Overall
	#128	Relational DBMS

Score	26.79
Rank	#30	Overall
	#18	Relational DBMS

Website

clickhouse.com

www.featurebase.com

azure.microsoft.com/services/synapse-analytics

Technical documentation

clickhouse.com/docs

docs.featurebase.com

docs.microsoft.com/azure/synapse-analytics

Developer

Clickhouse Inc.

Molecula and Pilosa Open Source Contributors

Microsoft

Initial release

2016

2017

2016

Current release

v23.7.4.5-stable, August 2023

2022, May 2022

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

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.

Implementation language

C++

Server operating systems

FreeBSD
Linux
macOS

Linux
macOS

hosted

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

Close to ANSI SQL

SQL queries

yes

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

gRPC
JDBC
Kafka Connector
ODBC

ADO.NET
JDBC
ODBC

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

Java
Python

C#
Java
PHP

Server-side scripts

Stored procedures

Transact SQL

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

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

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

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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