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

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

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

Time Series DBMS for IoT Applications

High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.

Primary database model

Secondary database models

Time Series DBMS

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

Document store
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	2.91
Rank	#102	Overall
	#51	Relational DBMS

Website

cachelot.io

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

trino.io

yanza.com

www.yugabyte.com

Technical documentation

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

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Social network pages

Developer

Alex Kashirin

Trino Software Foundation

Yanza

Yugabyte Inc.

Initial release

2015

2020

2012

2020 rebranded from PrestoSQL

2015

2017

Current release

0.5, April 2021

2.19, September 2023

License

Commercial or Open Source

Open Source

Simplified BSD License

Open Source

GPL V3

Open Source

Apache Version 2.0

commercial

free version available

Open Source

Apache 2.0

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.

YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.

Implementation language

C++

Java

C and C++

Server operating systems

FreeBSD
Linux
OS X

Linux

Linux
macOS

for devlopment

Windows

Linux
OS X

Data scheme

schema-free

yes

schema-free

depending on used data model

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

yes, PostgreSQL compatible

APIs and other access methods

Memcached protocol

Proprietary protocol
Thrift

JDBC
RESTful HTTP API
Trino CLI

HTTP API

JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL

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

any language that supports HTTP calls

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala

Server-side scripts

Stored procedures

yes, depending on connected data-source

yes

sql, plpgsql, C

Triggers

yes

Timer and event based

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

depending on connected data-source

none

Hash and Range Sharding, row-level geo-partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

depending on connected data-source

none

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

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

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

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

depending on connected data-source

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

yes

based on RocksDB

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

yes

More information provided by the system vendor

Specific characteristics

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

YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more

Competitive advantages

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

PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more

Typical application scenarios

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

Systems of record and engagement for cloud native applications that require resilience,...
» 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

2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more

Licensing and pricing models

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

Apache 2.0 license for the database
» more

News

60: Trino calling AI
22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

2022 All O-Zone Football Team
17 December 2022, Ozarks Sports Zone

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

Speed Trino Queries with These Performance-Tuning Tips
11 July 2023, The New Stack

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

provided by Google News

YugabyteDB Becomes First Distributed SQL Database Vendor to Complete CIS Benchmark
1 February 2024, Datanami

Yugabyte Achieves PCI DSS Level 1 Compliance, Validating Secure and Scalable Distributed PostgreSQL for ...
14 March 2024, Business Wire

The surprising link between Formula One and enterprise PostgreSQL optimisation
28 March 2024, The Stack

Yugabyte Embraces 'No Downtime, No Limits,' as the Theme of the Upcoming Distributed SQL Summit Asia
18 April 2024, Business Wire

Can Yugabyte Become The Defacto Database For Large-Scale, Cloud Native Applications?
19 May 2022, Forbes

provided by Google News

Share this page