DBMS > Cachelot.io vs. SWC-DB vs. Trino vs. VoltDB vs. Yanza

System Properties Comparison Cachelot.io vs. SWC-DB vs. Trino vs. VoltDB vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

In-memory caching system

A high performance, scalable Wide Column DBMS

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Time Series DBMS

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Score	5.00
Rank	#66	Overall
	#36	Relational DBMS

Score	1.44
Rank	#158	Overall
	#73	Relational DBMS

Website

cachelot.io

github.com/kashirin-alex/swc-db
www.swcdb.org

trino.io

www.voltdb.com

yanza.com

Technical documentation

trino.io/broadcast
trino.io/docs/current

docs.voltdb.com

Social network pages

Developer

Alex Kashirin

Trino Software Foundation

VoltDB Inc.

Yanza

Initial release

2015

2020

2012

2020 rebranded from PrestoSQL

2010

2015

Current release

0.5, April 2021

11.3, April 2022

License

Commercial or Open Source

Open Source

Simplified BSD License

Open Source

GPL V3

Open Source

Apache Version 2.0

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.

Implementation language

C++

Java

Java, C++

Server operating systems

FreeBSD
Linux
OS X

Linux

Linux
macOS

for devlopment

Linux
OS X

for development

Windows

Data scheme

schema-free

yes

schema-free

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

depending on connected data-source

yes

SQL

Support of SQL

SQL-like query language

yes

only a subset of SQL 99

APIs and other access methods

Memcached protocol

Proprietary protocol
Thrift

JDBC
RESTful HTTP API
Trino CLI

Java API
JDBC
RESTful HTTP/JSON API

HTTP API

Supported programming languages

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

C++

Go
Java
JavaScript (Node.js)
Python
R
Ruby

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes, depending on connected data-source

Java

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

depending on connected data-source

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

depending on connected data-source

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

depending on connected data-source

Immediate Consistency

Foreign keys

Referential integrity

FOREIGN KEY constraints are not supported

Transaction concepts

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

depending on connected data-source

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability

Support for making data persistent

yes

depending on connected data-source

yes

Snapshots and command logging

yes

In-memory capabilities

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

User concepts

Access control

SQL standard access control

Users and roles with access to stored procedures

More information provided by the system vendor

Specific characteristics

Trino is the fastest open source, massively parallel processing SQL query engine...
» more

Competitive advantages

High performance analtyics and data processing of very large data sets Powerful ANSI...
» more

Typical application scenarios

Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more

Key customers

Trino is widely adopted across the globe as freely-available open source software....
» more

Market metrics

33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more

Licensing and pricing models

Trino is an open source project and usage is therefore free. Commercial offerings...
» more

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22 May 2024

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8 May 2024

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24 April 2024

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15 April 2024

Time travel in Delta Lake connector
11 April 2024

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.

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