DBMS > Datomic vs. DuckDB vs. Sadas Engine vs. SiriDB

System Properties Comparison Datomic vs. DuckDB vs. Sadas Engine vs. SiriDB

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Editorial information provided by DB-Engines

Name

Description

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

An embeddable, in-process, column-oriented SQL OLAP RDBMS

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Open Source Time Series DBMS

Primary database model

Relational DBMS

Time Series DBMS

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

Score	1.70
Rank	#138	Overall
	#68	Relational DBMS

Score	0.34
Rank	#267	Overall
	#123	Relational DBMS

Score	0.00
Rank	#354	Overall
	#152	Relational DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

Technical documentation

docs.datomic.com

duckdb.org/docs

www.sadasengine.com/index.php/downloads/documentation-columnar-db

docs.siridb.net

Developer

Cognitect

SADAS s.r.l.

Cesbit

Initial release

2012

2018

2006

2017

Current release

1.0.6362, January 2022

0.2, August 2020

8.0

License

Commercial or Open Source

commercial

limited edition free

Open Source

MIT License

commercial

free trial version available

Open Source

MIT License

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.

Implementation language

Java, Clojure

C++

Server operating systems

All OS with a Java VM

server-less

AIX
Linux
Windows

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

Numeric data

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

yes

APIs and other access methods

RESTful HTTP API

CLI Client
JDBC

JDBC
ODBC
Proprietary protocol

HTTP API

Supported programming languages

Clojure
Java

C
C++
Go

3rd party driver
Java
Python
R
Ruby

3rd party driver

.Net
C
C#
C++
Groovy
Java
PHP
Python

C
C++
Go
Python

Server-side scripts

Stored procedures

yes

Transaction Functions

Triggers

By using transaction functions

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

none

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

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

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

yes

recommended only for testing and development

yes

managed by 'Learn by Usage'

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

simple rights management via user accounts

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More resources

Recent citations in the news

The Datomic Information Model
1 February 2013, InfoQ.com

The Architecture of Datomic
2 November 2012, InfoQ.com

Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures
4 April 2012, InfoQ.com

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
16 August 2021, InfoQ.com

Rich Hickey on Datomic, CAP and ACID
21 January 2013, InfoQ.com

provided by Google News

New CWI spin-off company DuckDB Labs: Solutions for fast database analytics
14 July 2021, Centrum Wiskunde & Informatica (CWI)

Apache Arrow 6 Improves Support For R and Rust
22 November 2021, iProgrammer

Meet TQP: The First Query Processor to Run On Tensor Computation Runtimes Delivers up to 20x Speedups Over CPU-Only Systems
4 March 2022, Synced

14 Open Source SQL Parsers
8 October 2021, hackernoon.com

provided by Google News

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