DBMS > ClickHouse vs. EJDB vs. Kdb+ vs. SingleStore vs. TimesTen

System Properties Comparison ClickHouse vs. EJDB vs. Kdb+ vs. SingleStore vs. TimesTen

Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

In-Memory RDBMS compatible to Oracle

Primary database model

Secondary database models

Time Series DBMS

Relational DBMS

Document store
Spatial DBMS
Time Series DBMS

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

Score	12.32
Rank	#46	Overall
	#30	Relational DBMS

Score	0.10
Rank	#314	Overall
	#41	Document stores

Score	8.98
Rank	#54	Overall
	#2	Time Series DBMS

Score	7.04
Rank	#61	Overall
	#36	Relational DBMS

Score	1.71
Rank	#137	Overall
	#67	Relational DBMS

Website

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

clickhouse.tech/docs

github.com/Softmotions/ejdb/blob/master/README.md

code.kx.com

docs.singlestore.com

docs.oracle.com/database/timesten-18.1

Developer

Clickhouse Inc.

Softmotions

Kx Systems, a division of First Derivatives plc

SingleStore Inc.

Oracle, TimesTen Performance Software, HP

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

2016

2012

2000

kdb was released 2000, kdb+ in 2003

2013

1998

Current release

v22.4.5.9-stable, May 2022

3.6, May 2018

7.6, November 2021

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPLv2

commercial

free 32-bit version

commercial

free developer edition 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.

SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities

Implementation language

C++

C++, Go

Server operating systems

FreeBSD
Linux
macOS

server-less

Linux
OS X
Solaris
Windows

Linux

64 bit version required

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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.

yes

Secondary indexes

yes

table attribute 'grouped'

yes

SQL

Support of SQL

Close to ANSI SQL

SQL-like query language (q)

yes

but no triggers and foreign keys

yes

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

in-process shared library

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
ODBC

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

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

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Bash
C
C#
Java
JavaScript (Node.js)
Python

C
C++
Java
PL/SQL

Server-side scripts

Stored procedures

user defined functions

yes

PL/SQL

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

hash partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

stores two copies of each physical data partition on two separate nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

can define user-defined aggregate functions for map-reduce-style calculations

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

yes

by means of logfiles and checkpoints

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

rights management via user accounts

Fine grained access control via users, groups and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more

Competitive advantages

SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more

Typical application scenarios

Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customers

IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more

Market metrics

Customers in various industries worldwide including US and International Industry...
» more

Licensing and pricing models

F ree Tier and Enterprise Edition
» 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

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022, Akmal Chaudhri, SingleStore (sponsor)

show all

Recent citations in the news

Real-time database startup Imply reaches unicorn status with $100M infusion
17 May 2022, TechCrunch

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

ClickHouse Raises $250M Series B To Scale Groundbreaking OLAP Database Management System Globally
28 October 2021, Business Wire

Speedy Column-Store ClickHouse Spins Out from Yandex, Raises $50M
24 September 2021, Datanami

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

provided by Google News

Treliant Forms Alliance with KX
11 May 2022, Traders Magazine

KX Welcomes New Languages to Speedy Analytics Database
2 November 2021, Datanami

Time Series Databases Software Market Grows Significantly by 2022 -2028 | InfluxDB, Axibase Time Series Database, Trendalyze, Prometheus, Warp 10, etc – The Daily Vale
24 May 2022, The Daily Vale

How time series platforms unlock the potential of IoT: Join theCUBE for May 17 event
10 May 2022, SiliconANGLE News

The coding language you can learn in months for top finance jobs
26 July 2021, eFinancialCareers

provided by Google News

SingleStore will measure your app's 'data intensity' – Blocks and Files
25 April 2022, Blocks and Files

SingleStore Leads Database Industry With Four Top Rated 2022 Awards From TrustRadius
12 May 2022, Business Wire

Storage facing trillion-row database apocalypse – Blocks and Files
28 April 2022, Blocks and Files

Real-time database startup Imply reaches unicorn status with $100M infusion
17 May 2022, TechCrunch

Real-time database platform SingleStore raises $80M more, now at a $940M valuation
8 September 2021, TechCrunch

provided by Google News

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